- a - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Lower asymptote.
- a - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Coefficients
- a - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
-
Coefficients
- a - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
When all c[i] = 0, a[] becomes normal polynomial coefficients,
i.e.
- a - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Lower limit of this distribution (inclusive).
- a - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Amplitude.
- a - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Reference to the linear operator.
- a - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Internal weights from Butcher array (without the first empty row).
- a - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Internal weights from Butcher array (without the first empty row).
- a - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.
Amplitude.
- a1 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Axis of the first rotation.
- a2 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Axis of the second rotation.
- a3 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Axis of the third rotation.
- A70 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 0.
- A72 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 2.
- A73 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 3.
- A74 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 4.
- A75 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 5.
- abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
absolute value.
- Abs - Class in org.apache.commons.math3.analysis.function
-
Absolute value function.
- Abs() - Constructor for class org.apache.commons.math3.analysis.function.Abs
-
- abs() - Method in class org.apache.commons.math3.complex.Complex
-
Return the absolute value of this complex number.
- abs() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the absolute value of instance.
- abs() - Method in class org.apache.commons.math3.fraction.BigFraction
-
- abs() - Method in class org.apache.commons.math3.fraction.Fraction
-
Returns the absolute value of this fraction.
- abs(int) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- abs(long) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- abs(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- abs(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- ABS_TOL_UNUSED - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
-
Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker
will always decide when to stop the line search.
- ABS_TOL_UNUSED - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.
Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker
will always decide when to stop the line search.
- abscissa - Variable in class org.apache.commons.math3.analysis.function.StepFunction
-
Abscissae.
- abscissae - Variable in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Sample abscissae.
- abscissas - Variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.
Abscissas for the current method.
- ABSCISSAS_2 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.
Abscissas for the 2 points method.
- ABSCISSAS_3 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.
Abscissas for the 3 points method.
- ABSCISSAS_4 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.
Abscissas for the 4 points method.
- ABSCISSAS_5 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.
Abscissas for the 5 points method.
- absoluteAccuracy - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Maximum absolute error.
- absoluteAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Absolute accuracy.
- absoluteAccuracy - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Absolute accuracy.
- absoluteThreshold - Variable in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Absolute tolerance threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Absolute threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Absolute threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
Absolute tolerance threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
Absolute threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.
Absolute threshold.
- AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim
-
Base class for all convergence checker implementations.
- AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Build an instance with a specified thresholds.
- AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- AbstractConvergenceChecker() - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
in 3.1 (to be removed in 4.0). Convergence thresholds are
problem-dependent. As this class is intended for users who want to set
their own convergence criterion instead of relying on an algorithm's
default procedure, they should also set the thresholds appropriately
(cf. MATH-798).
- AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
Build an instance with a specified thresholds.
- AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.
- AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
-
- AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.
Construct a solver with given absolute accuracy.
- AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.
Construct a solver with given accuracies.
- AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
-
Basic implementation of
FieldMatrix methods regardless of the underlying storage.
- AbstractFieldMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Constructor for use with Serializable
- AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Creates a matrix with no data
- AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Create a new FieldMatrix with the supplied row and column dimensions.
- AbstractFormat - Class in org.apache.commons.math3.fraction
-
- AbstractFormat() - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
-
Create an improper formatting instance with the default number format
for the numerator and denominator.
- AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
-
Create an improper formatting instance with a custom number format for
both the numerator and denominator.
- AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
-
Create an improper formatting instance with a custom number format for
the numerator and a custom number format for the denominator.
- AbstractIntegerDistribution - Class in org.apache.commons.math3.distribution
-
Base class for integer-valued discrete distributions.
- AbstractIntegerDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
- AbstractIntegerDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
- AbstractIntegrator - Class in org.apache.commons.math3.ode
-
Base class managing common boilerplate for all integrators.
- AbstractIntegrator(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
-
Build an instance.
- AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
-
Build an instance with a null name.
- AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
-
Base class for implementing least-squares optimizers.
- AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
- AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
- AbstractLinearOptimizer - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- AbstractLinearOptimizer() - Constructor for class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Simple constructor with default settings.
- AbstractListChromosome<T> - Class in org.apache.commons.math3.genetics
-
Chromosome represented by an immutable list of a fixed length.
- AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
-
Constructor.
- AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
-
Constructor.
- AbstractMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
-
Abstract base class for implementations of MultipleLinearRegression.
- AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
- AbstractMultivariateRealDistribution - Class in org.apache.commons.math3.distribution
-
Base class for multivariate probability distributions.
- AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
- AbstractParameterizable - Class in org.apache.commons.math3.ode
-
This abstract class provides boilerplate parameters list.
- AbstractParameterizable(String...) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
-
Simple constructor.
- AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
-
Simple constructor.
- AbstractPolynomialSolver - Class in org.apache.commons.math3.analysis.solvers
-
Base class for solvers.
- AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Construct a solver with given absolute accuracy.
- AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Construct a solver with given accuracies.
- AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Construct a solver with given accuracies.
- AbstractRandomGenerator - Class in org.apache.commons.math3.random
-
- AbstractRandomGenerator() - Constructor for class org.apache.commons.math3.random.AbstractRandomGenerator
-
Construct a RandomGenerator.
- AbstractRealDistribution - Class in org.apache.commons.math3.distribution
-
Base class for probability distributions on the reals.
- AbstractRealDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
-
- AbstractRealDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
-
- AbstractRealMatrix - Class in org.apache.commons.math3.linear
-
Basic implementation of RealMatrix methods regardless of the underlying storage.
- AbstractRealMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
-
Creates a matrix with no data
- AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
-
Create a new RealMatrix with the supplied row and column dimensions.
- AbstractRegion<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
-
Abstract class for all regions, independently of geometry type or dimension.
- AbstractRegion() - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a region representing the whole space.
- AbstractRegion(BSPTree<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a region from an inside/outside BSP tree.
- AbstractRegion(Collection<SubHyperplane<S>>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a Region from a Boundary REPresentation (B-rep).
- AbstractRegion(Hyperplane<S>[]) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a convex region from an array of bounding hyperplanes.
- AbstractRegion.BoundaryBuilder<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
-
Visitor building boundary shell tree.
- AbstractRegion.BoundaryBuilder() - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
-
- AbstractRegion.Sides - Class in org.apache.commons.math3.geometry.partitioning
-
Utility class holding the already found sides.
- AbstractRegion.Sides() - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
-
Simple constructor.
- AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
- AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.
- AbstractSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements the simplex concept.
- AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Build a unit hypercube simplex.
- AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Build a hypercube simplex with the given side length.
- AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
The start configuration for simplex is built from a box parallel to
the canonical axes of the space.
- AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
The real initial simplex will be set up by moving the reference
simplex such that its first point is located at the start point of the
optimization.
- AbstractSimplex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Build a unit hypercube simplex.
- AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Build a hypercube simplex with the given side length.
- AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
The start configuration for simplex is built from a box parallel to
the canonical axes of the space.
- AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
The real initial simplex will be set up by moving the reference
simplex such that its first point is located at the start point of the
optimization.
- AbstractStepInterpolator - Class in org.apache.commons.math3.ode.sampling
-
This abstract class represents an interpolator over the last step
during an ODE integration.
- AbstractStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Simple constructor.
- AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Simple constructor.
- AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Copy constructor.
- AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
-
- AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
- AbstractSubHyperplane<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
-
This class implements the dimension-independent parts of
SubHyperplane.
- AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Build a sub-hyperplane from an hyperplane and a region.
- AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math3.analysis.solvers
-
Provide a default implementation for several functions useful to generic
solvers.
- AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Construct a solver with given absolute accuracy.
- AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Construct a solver with given accuracies.
- AbstractUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
-
Base class for solvers.
- AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
-
Construct a solver with given absolute accuracy.
- AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
-
Construct a solver with given accuracies.
- AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
-
Construct a solver with given accuracies.
- AbstractUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
-
- AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
- AbstractWell - Class in org.apache.commons.math3.random
-
This abstract class implements the WELL class of pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator.
- AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator using a single int seed.
- AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator using an int array seed.
- AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator using a single long seed.
- acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Accept a step, triggering events and step handlers.
- accuracy - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
If the median residual at a certain robustness iteration
is less than this amount, no more iterations are done.
- acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Arc cosine operation.
- acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute arc cosine of a derivative structure.
- Acos - Class in org.apache.commons.math3.analysis.function
-
Arc-cosine function.
- Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos
-
- acos() - Method in class org.apache.commons.math3.complex.Complex
-
- acos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc-cosine of the argument.
- acos(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the arc cosine of a number.
- acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Inverse hyperbolic cosine operation.
- acosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute inverse hyperbolic cosine of a derivative structure.
- Acosh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic arc-cosine function.
- Acosh() - Constructor for class org.apache.commons.math3.analysis.function.Acosh
-
- acosh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the inverse hyperbolic cosine of a number.
- AdamsBashforthIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements explicit Adams-Bashforth integrators for Ordinary
Differential Equations.
- AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Build an Adams-Bashforth integrator with the given order and step control parameters.
- AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Build an Adams-Bashforth integrator with the given order and step control parameters.
- AdamsIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
- AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Build an Adams integrator with the given order and step control parameters.
- AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Build an Adams integrator with the given order and step control parameters.
- AdamsMoultonIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements implicit Adams-Moulton integrators for Ordinary
Differential Equations.
- AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Build an Adams-Moulton integrator with the given order and error control parameters.
- AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Build an Adams-Moulton integrator with the given order and error control parameters.
- AdamsMoultonIntegrator.Corrector - Class in org.apache.commons.math3.ode.nonstiff
-
Corrector for current state in Adams-Moulton method.
- AdamsMoultonIntegrator.Corrector(double[], double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Simple constructor.
- AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff
-
Transformer to Nordsieck vectors for Adams integrators.
- AdamsNordsieckTransformer(int) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Simple constructor.
- AdaptiveStepsizeIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This abstract class holds the common part of all adaptive
stepsize integrators for Ordinary Differential Equations.
- AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Build an integrator with the given stepsize bounds.
- AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Build an integrator with the given stepsize bounds.
- add(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'+' operator.
- add(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'+' operator.
- add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform addition of two derivative structures.
- Add - Class in org.apache.commons.math3.analysis.function
-
Add the two operands.
- Add() - Constructor for class org.apache.commons.math3.analysis.function.Add
-
- add(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Adds functions.
- add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Adds functions.
- add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
- add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Add a polynomial to the instance.
- add(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is
(this + addend).
- add(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is (this + addend),
with addend interpreted as a real number.
- add(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Computes the sum of two quaternions.
- add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the sum of the instance and another quaternion.
- add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Add x to this.
- add(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this + a.
- add(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to the passed BigInteger,
returning the result in reduced form.
- add(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to the passed integer, returning
the result in reduced form.
- add(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to the passed long, returning
the result in reduced form.
- add(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to another, returning the result in
reduced form.
- add(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Adds the value of this fraction to another, returning the result in reduced form.
- add(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Add an integer to the fraction.
- add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Add a vector to the instance.
- add(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Add a scaled vector to the instance.
- add(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Add a vector to the instance.
- add(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Add a scaled vector to the instance.
- add(Vector2D[]) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Add a loop in a tree.
- add(NestedLoops) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Add a loop in a tree.
- add(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Add a vector to the instance.
- add(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Add a scaled vector to the instance.
- add(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Add a vector to the instance.
- add(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Add a scaled vector to the instance.
- add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Compute the sum of this and m.
- add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the sum of this and m.
- add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Add m to this matrix.
- add(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Compute the sum of this and m.
- add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the sum of this and v.
- add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the sum of this and v.
- add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Compute the sum of this vector and v.
- add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Compute the sum of this and m.
- add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Compute the sum of this and m.
- add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the sum of this and m.
- add(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Compute the sum of this matrix and m.
- add(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Compute the sum of this and m.
- add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Compute the sum of this and v.
- add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Compute the sum of this matrix and m.
- add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Compute the sum of this vector and v.
- add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Optimized method to add two OpenMapRealVectors.
- add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the sum of this and m.
- add(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Compute the sum of this vector and v.
- add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Optimized method to add sparse vectors.
- add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Compute the sum of this and v.
- add(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this + a.
- add(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this + a.
- ADD_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by addition.
- addAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Add two integers, checking for overflow.
- addAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Add two long integers, checking for overflow.
- addAndCheck(long, long, Localizable) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Add two long integers, checking for overflow.
- addChromosome(Chromosome) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Add the given chromosome to the population.
- addChromosome(Chromosome) - Method in interface org.apache.commons.math3.genetics.Population
-
Add the given chromosome to the population.
- addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Add a
Collection of chromosomes to this
Population.
- addContribution(SubHyperplane<Euclidean3D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Add he contribution of a boundary facet.
- addContribution(SubHyperplane<Euclidean3D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Add he contribution of a boundary facet.
- addContribution(SubHyperplane<Euclidean2D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Add he contribution of a boundary facet.
- addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds the observation (x,y) to the regression data set.
- addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds the observations represented by the elements in
data.
- addElement(double) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Adds an element to the end of this expandable array
- addElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Adds an element to the end of this expandable array.
- addElementRolling(double) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Adds an element to the end of the array and removes the first
element in the array.
- addElementRolling(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Adds an element to the end of the array and removes the first
element in the array.
- addElements(double[]) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Adds elements to the end of this expandable array
- addElements(double[]) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Adds several element to the end of this expandable array.
- addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Add an event handler to the integrator.
- addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
-
Attaches a listener to this manager.
- ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
- addMessage(Localizable, Object...) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Adds a message.
- addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Adds an observation to the regression model.
- addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds one observation to the regression model.
- addObservation(double[], double) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Adds one observation to the regression model.
- addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Adds multiple observations to the model.
- addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds a series of observations to the regression model.
- addObservations(double[][], double[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Adds a series of observations to the regression model.
- addObservedPoint(double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Add an observed (x,y) point to the sample with unit weight.
- addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Add an observed weighted (x,y) point to the sample.
- addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Add an observed weighted (x,y) point to the sample.
- addObservedPoint(double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.
Add an observed (x,y) point to the sample with unit weight.
- addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.
Add an observed weighted (x,y) point to the sample.
- addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.
Add an observed weighted (x,y) point to the sample.
- addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Add a parameter Jacobian provider.
- addPoint(T) - Method in class org.apache.commons.math3.stat.clustering.Cluster
-
Add a point to this cluster.
- addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Stores a rule.
- addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Add a sample point.
- addSecondaryEquations(SecondaryEquations) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Add a set of secondary equations to be integrated along with the primary set.
- addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Add a step handler to this integrator.
- addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Add a step handler to this integrator.
- addStepHandler(StepHandler) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Add a step handler to this integrator.
- addSub(Fraction, boolean) - Method in class org.apache.commons.math3.fraction.Fraction
-
Implement add and subtract using algorithm described in Knuth 4.5.1.
- addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Adds (in place) the specified value to the specified entry of
this matrix.
- addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Adds (in place) the specified value to the specified entry of
this matrix.
- addToEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Change an entry at the specified index.
- addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Adds (in place) the specified value to the specified entry of
this matrix.
- addToEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Adds (in place) the specified value to the specified entry of
this matrix.
- addToEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Adds (in place) the specified value to the specified entry of
this matrix.
- addToEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
-
Change an entry at the specified index.
- addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Change an entry in the specified row and column.
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
Add a value to the data
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Adds the value to the dataset.
- addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Add an n-tuple to the data
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Add a value to the data
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Adds the value to the dataset.
- addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Add an n-tuple to the data
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Add a value to the data
- addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- addValue(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- addValue(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- addValue(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- ADJRSQ_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Adjusted R Squared
- advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Deprecated.
Advance an entry up to the next nonzero one.
- advance() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Advance iterator one step further.
- advance() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Advance iterator one step further.
- after - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Current state after correction.
- aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Computes aggregate summary statistics.
- aggregateStatistics - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
An additional SummaryStatistics into which values added to these
statistics (and possibly others) are aggregated
- AggregateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
An aggregator for SummaryStatistics from several data sets or
data set partitions.
- AggregateSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Initializes a new AggregateSummaryStatistics with default statistics
implementations.
- AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Initializes a new AggregateSummaryStatistics with the specified statistics
object as a prototype for contributing statistics and for the internal
aggregate statistics.
- AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Initializes a new AggregateSummaryStatistics with the specified statistics
object as a prototype for contributing statistics and for the internal
aggregate statistics.
- AggregateSummaryStatistics.AggregatingSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
A SummaryStatistics that also forwards all values added to it to a second
SummaryStatistics for aggregation.
- AggregateSummaryStatistics.AggregatingSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
Initializes a new AggregatingSummaryStatistics with the specified
aggregate statistics object
- AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Matrix to compute the spline coefficients from the function values
and function derivatives values
- AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Matrix to compute the spline coefficients from the function values
and function derivatives values
- align(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Make our exp equal to the supplied one, this may cause rounding.
- ALIGN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by alignment.
- allocateInterpolatedArrays(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Allocate the various interpolated states arrays.
- allowed - Variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
The kinds of solutions that the algorithm may accept.
- allowed - Variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
The kinds of solutions that the algorithm may accept.
- AllowedSolution - Enum in org.apache.commons.math3.analysis.solvers
-
- AllowedSolution() - Constructor for enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
- alpha - Variable in class org.apache.commons.math3.distribution.BetaDistribution
-
First shape parameter.
- alpha - Variable in class org.apache.commons.math3.random.StableRandomGenerator
-
stability parameter
- alternativeNewPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- alternativeNewPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- altmov(int, double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
The arguments N, NPT, XPT, XOPT, BMAT, ZMAT, NDIM, SL and SU all have
the same meanings as the corresponding arguments of BOBYQB.
- altmov(int, double) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
The arguments N, NPT, XPT, XOPT, BMAT, ZMAT, NDIM, SL and SU all have
the same meanings as the corresponding arguments of BOBYQB.
- amplitude - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Amplitude.
- angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the angular separation between two vectors.
- angle - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Angle with respect to the abscissa axis.
- anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
Computes the ANOVA F-value for a collection of double[]
arrays.
- anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
Computes the ANOVA P-value for a collection of double[]
arrays.
- anovaStats(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
This method actually does the calculations (except P-value).
- anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
Performs an ANOVA test, evaluating the null hypothesis that there
is no difference among the means of the data categories.
- AnyMatrix - Interface in org.apache.commons.math3.linear
-
Interface defining very basic matrix operations.
- append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending a vector to this vector.
- append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending a vector to this vector.
- append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending a T to this vector.
- append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a new vector by appending a vector to this vector.
- append(ArrayRealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending a vector to this vector.
- append(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a new vector by appending a double to this vector.
- append(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Construct a vector by appending a vector to this vector.
- append(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Construct a vector by appending a T to this vector.
- append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Optimized method to append a OpenMapRealVector.
- append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Construct a new vector by appending a vector to this vector.
- append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Construct a new vector by appending a double to this vector.
- append(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Construct a new vector by appending a vector to this vector.
- append(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Construct a new vector by appending a double to this vector.
- append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Construct a vector by appending a vector to this vector.
- append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Construct a vector by appending a vector to this vector.
- append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Construct a vector by appending a T to this vector.
- append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Append another model at the end of the instance.
- append(StringBuilder, double[], String, String, String) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Append a text representation of an array to a buffer.
- apply(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Compute the value of the bicubic polynomial.
- apply(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Transform a point of a space.
- apply(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Transform an hyperplane of a space.
- apply(SubHyperplane<Euclidean2D>, Hyperplane<Euclidean3D>, Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Transform a point of a space.
- apply(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Transform an hyperplane of a space.
- apply(SubHyperplane<Euclidean2D>, Hyperplane<Euclidean3D>, Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform a point of a space.
- apply(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform an hyperplane of a space.
- apply(SubHyperplane<Euclidean1D>, Hyperplane<Euclidean2D>, Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
-
Transform a point of a space.
- apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
-
Transform an hyperplane of a space.
- apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Apply the given statistic to the data associated with this set of statistics.
- apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Apply the given statistic to the data associated with this set of statistics.
- applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the inverse of the rotation to a vector.
- applyInverseTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the inverse of the rotation to a vector stored in an array.
- applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the inverse of the instance to another rotation.
- applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the rotation to a vector.
- applyTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the rotation to a vector stored in an array.
- applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the instance to another rotation.
- applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Transform a region.
- applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Apply a transform to the instance.
- argument - Variable in exception org.apache.commons.math3.exception.MathIllegalNumberException
-
Requested.
- ArgUtils - Class in org.apache.commons.math3.exception.util
-
Utility class for transforming the list of arguments passed to
constructors of exceptions.
- ArgUtils() - Constructor for class org.apache.commons.math3.exception.util.ArgUtils
-
Class contains only static methods.
- ArithmeticUtils - Class in org.apache.commons.math3.util
-
Some useful, arithmetics related, additions to the built-in functions in
Math.
- ArithmeticUtils() - Constructor for class org.apache.commons.math3.util.ArithmeticUtils
-
Private constructor.
- arity - Variable in class org.apache.commons.math3.genetics.TournamentSelection
-
number of chromosomes included in the tournament selections
- arr - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
-
Implementation of FieldMatrix
using a FieldElement[][] array to store entries.
- Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Creates a matrix with no data
- Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new FieldMatrix<T> with the supplied row and column dimensions.
- Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new FieldMatrix<T> using the input array as the underlying
data array.
- Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new FieldMatrix<T> using the input array as the underlying
data array.
- Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new FieldMatrix<T> using the input array as the underlying
data array.
- Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new FieldMatrix<T> using the input array as the underlying
data array.
- Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new (column) FieldMatrix<T> using v as the
data for the unique column of the created matrix.
- Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new (column) FieldMatrix<T> using v as the
data for the unique column of the created matrix.
- Array2DRowRealMatrix - Class in org.apache.commons.math3.linear
-
Implementation of
RealMatrix using a
double[][] array to
store entries.
- Array2DRowRealMatrix() - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Creates a matrix with no data
- Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new RealMatrix with the supplied row and column dimensions.
- Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new RealMatrix using the input array as the underlying
data array.
- Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new RealMatrix using the input array as the underlying
data array.
- Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new (column) RealMatrix using v as the
data for the unique column of the created matrix.
- ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
-
- ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Build a 0-length vector.
- ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector of zeroes.
- ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector with preset values.
- ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from an array, copying the input array.
- ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from an array, copying the input array.
- ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Create a new ArrayFieldVector using the input array as the underlying
data array.
- ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Create a new ArrayFieldVector using the input array as the underlying
data array.
- ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from part of a array.
- ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from part of a array.
- ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from another vector, using a deep copy.
- ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from another vector, using a deep copy.
- ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from another vector.
- ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector - Class in org.apache.commons.math3.linear
-
This class implements the
RealVector interface with a double array.
- ArrayRealVector() - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Build a 0-length vector.
- ArrayRealVector(int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector of zeroes.
- ArrayRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector with preset values.
- ArrayRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from an array, copying the input array.
- ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Create a new ArrayRealVector using the input array as the underlying
data array.
- ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from part of a array.
- ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from an array.
- ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from part of an array.
- ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from another vector, using a deep copy.
- ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from another vector, using a deep copy.
- ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from another vector.
- ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- asin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Arc sine operation.
- asin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute arc sine of a derivative structure.
- Asin - Class in org.apache.commons.math3.analysis.function
-
Arc-sine function.
- Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin
-
- asin() - Method in class org.apache.commons.math3.complex.Complex
-
- asin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc-sine of the argument.
- asin(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the arc sine of a number.
- asinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Inverse hyperbolic sine operation.
- asinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute inverse hyperbolic sine of a derivative structure.
- Asinh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic arc-sine function.
- Asinh() - Constructor for class org.apache.commons.math3.analysis.function.Asinh
-
- asinh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the inverse hyperbolic sine of a number.
- asList() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an ordered list of intervals representing the instance.
- assignPointsToClusters(List<Cluster<T>>, Collection<T>, int[]) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Adds the given points to the closest
Cluster.
- atan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Arc tangent operation.
- atan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute arc tangent of a derivative structure.
- Atan - Class in org.apache.commons.math3.analysis.function
-
Arc-tangent function.
- Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan
-
- atan() - Method in class org.apache.commons.math3.complex.Complex
-
- atan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc tangent of the argument
Uses the typical taylor series
but may reduce arguments using the following identity
tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y))
since tan(PI/8) = sqrt(2)-1,
atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
- atan(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Arctangent function
- atan(double, double, boolean) - Static method in class org.apache.commons.math3.util.FastMath
-
Internal helper function to compute arctangent.
- atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Two arguments arc tangent operation.
- atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute two arguments arc tangent of a derivative structure.
- Atan2 - Class in org.apache.commons.math3.analysis.function
-
Arc-tangent function.
- Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2
-
- atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Two arguments arctangent function
- atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Inverse hyperbolic tangent operation.
- atanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute inverse hyperbolic tangent of a derivative structure.
- Atanh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic arc-tangent function.
- Atanh() - Constructor for class org.apache.commons.math3.analysis.function.Atanh
-
- atanh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the inverse hyperbolic tangent of a number.
- atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc-tangent of the argument.
- attribute - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Application-defined attribute.
- AVLTree<T extends java.lang.Comparable<T>> - Class in org.apache.commons.math3.geometry.partitioning.utilities
-
This class implements AVL trees.
- AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Build an empty tree.
- AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities
-
This class implements AVL trees nodes.
- AVLTree.Node(T, AVLTree<T>.Node) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Build a node for a specified element.
- AVLTree.Skew - Enum in org.apache.commons.math3.geometry.partitioning.utilities
-
Enum for tree skew factor.
- AVLTree.Skew() - Constructor for enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
- c - Variable in class org.apache.commons.math3.analysis.function.Constant
-
Constant.
- c - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Centers of the Newton polynomial.
- c - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Mode of this distribution.
- c - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Time steps from Butcher array (without the first zero).
- c - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Time steps from Butcher array (without the first zero).
- C - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Covariance matrix.
- C - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Covariance matrix.
- c1 - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Update coefficients of the higher order derivatives wrt y'.
- c11 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- C14 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Time step for stage 14 (interpolation only).
- C15 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Time step for stage 15 (interpolation only).
- C16 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Time step for stage 16 (interpolation only).
- c1X - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- c1Y - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- C_LIMIT - Static variable in class org.apache.commons.math3.special.Gamma
-
C limit.
- CACHE - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Cache for already computed coefficients.
- cachedB - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Cached value of B.
- cachedD - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Cached value of D.
- cachedH - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Cached value of H.
- cachedH - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of H.
- cachedL - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Cached value of L.
- cachedL - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Cached value of L.
- cachedL - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Cached value of L.
- cachedLT - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Cached value of LT.
- cachedNormalDeviate - Variable in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Cached random normal value.
- cachedOriginal - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Cached original hyperplane.
- cachedOriginal - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Cached original hyperplane.
- cachedP - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Cached value of P.
- cachedP - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Cached value of P.
- cachedP - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Cached value of P.
- cachedP - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Cached value of P.
- cachedPivots - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Cached pivots.
- cachedPt - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Cached value of Pt.
- cachedPt - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Cached value of PT.
- cachedQ - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of Q.
- cachedQ - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Cached value of Q.
- cachedQT - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of QT.
- cachedQt - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Cached value of Qt.
- cachedR - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of R.
- cachedS - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of S (diagonal) matrix.
- cachedT - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Cached value of T.
- cachedT - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Cached value of T.
- cachedTransform - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Cached 2D transform valid inside the cached original hyperplane.
- cachedTransform - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Cached 2D transform valid inside the cached original hyperplane.
- cachedU - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Cached value of U.
- cachedU - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Cached value of U.
- cachedU - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Cached value of U.
- cachedU - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of U matrix.
- cachedUt - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of transposed U matrix.
- cachedV - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Cached value of V.
- cachedV - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Cached value of V.
- cachedV - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of V matrix.
- cachedVt - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Cached value of Vt.
- cachedVt - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of transposed V matrix.
- calculateAbsoluteDifferences(double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Calculates |z[i]| for all i
- calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the adjusted R-squared statistic, defined by the formula
- calculateAsymptoticPValue(double, int, int) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
- calculateAsymptoticPValue(double, int) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
- calculateBeta() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the beta of multiple linear regression in matrix notation.
- calculateBeta() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Calculates beta by GLS.
- calculateBeta() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Calculates the regression coefficients using OLS.
- calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the beta variance of multiple linear regression in matrix
notation.
- calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Calculates the variance on the beta.
- calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Calculates the variance-covariance matrix of the regression parameters.
- calculateDifferences(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Calculates y[i] - x[i] for all i
- calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the variance of the error term.
- calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Calculates the estimated variance of the error term using the formula
- calculateExactPValue(double, int) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Algorithm inspired by
http://www.fon.hum.uva.nl/Service/Statistics/Signed_Rank_Algorihms.html#C
by Rob van Son, Institute of Phonetic Sciences & IFOTT,
University of Amsterdam
- calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Compute the "hat" matrix.
- calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
- calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
- calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
-
- calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
- calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
- calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
- calculateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the residuals of multiple linear regression in matrix
notation.
- calculateResidualSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the sum of squared residuals.
- calculateRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the R-Squared statistic, defined by the formula
- calculateTotalSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the sum of squared deviations of Y from its mean.
- calculateYVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the variance of the y values.
- caller(int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- caller(int) - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- canIncrement() - Method in class org.apache.commons.math3.util.Incrementor
-
Checks whether a single increment is allowed.
- CardanEulerSingularityException - Exception in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents exceptions thrown while extractiong Cardan
or Euler angles from a rotation.
- CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
-
Simple constructor.
- CauchyDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Cauchy distribution.
- CauchyDistribution() - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution with the median equal to zero and scale
equal to one.
- CauchyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution using the given median and scale.
- CauchyDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution using the given median and scale.
- CauchyDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution.
- cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Cubic root.
- Cbrt - Class in org.apache.commons.math3.analysis.function
-
Cube root function.
- Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt
-
- cbrt(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the cubic root of a number.
- CBRT_MACH_PREC - Static variable in class org.apache.commons.math3.linear.SymmLQ.State
-
- CBRTTWO - Static variable in class org.apache.commons.math3.util.FastMath
-
Table of 2^((n+2)/3)
- cc - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Cumulation constant.
- cc - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Cumulation constant.
- ccov1 - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-one update.
- ccov1 - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Learning rate for rank-one update.
- ccov1Sep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-one update - diagonalOnly
- ccov1Sep - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Learning rate for rank-one update - diagonalOnly
- ccovmu - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-mu update'
- ccovmu - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Learning rate for rank-mu update'
- ccovmuSep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-mu update - diagonalOnly
- ccovmuSep - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Learning rate for rank-mu update - diagonalOnly
- cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Calculates P(D_n < d) using method described in [1] with quick
decisions for extreme values given in [2] (see above).
- cdf(double, boolean) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Calculates P(D_n < d) using method described in [1] with quick
decisions for extreme values given in [2] (see above).
- cdfExact(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Calculates P(D_n < d) using method described in [1] with quick
decisions for extreme values given in [2] (see above).
- cdiv(double, double, double, double) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Performs a division of two complex numbers.
- ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the smallest whole number larger than instance.
- Ceil - Class in org.apache.commons.math3.analysis.function
-
ceil function.
- Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil
-
- ceil() - Method in class org.apache.commons.math3.dfp.Dfp
-
Round to an integer using the round ceil mode.
- ceil(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the smallest whole number larger than x.
- center - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Center point of the rotation.
- center - Variable in class org.apache.commons.math3.stat.clustering.Cluster
-
Center of the cluster.
- centroidOf(Collection<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
-
Returns the centroid of the given Collection of points.
- centroidOf(Collection<EuclideanDoublePoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Returns the centroid of the given Collection of points.
- centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Returns the centroid of the given Collection of points.
- cgnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The estimate of the norm of P * rC[k].
- changeIndexSign(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Change the index sign
- changeIndexSign(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Change the index sign
- characterize(BSPTree<S>, SubHyperplane<S>, SubHyperplane<S>[]) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
-
Filter the parts of an hyperplane belonging to the boundary.
- CHEBYSHEV_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Coefficients for Chebyshev polynomials.
- check - Variable in class org.apache.commons.math3.linear.ConjugateGradient
-
true if positive-definiteness of matrix and preconditioner should
be checked.
- check - Variable in class org.apache.commons.math3.linear.SymmLQ
-
true if symmetry of matrix and conditioner must be checked.
- check - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
true if symmetry of matrix and conditioner must be checked.
- checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a matrix is addition compatible with the instance.
- checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrices are addition compatible.
- checkAllFiniteReal(double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Check that all elements of an array are finite real numbers.
- checkArray(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Checks to make sure that the input long[][] array is rectangular,
has at least 2 rows and 2 columns, and has all non-negative entries.
- checkBinomial(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Check binomial preconditions.
- checkColumnIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a column index is valid.
- checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if a column index is valid.
- checkCompatibility(DSCompiler) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Check rules set compatibility.
- checkContractExpand(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- checkContractExpand(double, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Checks the expansion factor and the contraction criterion and raises
an exception if the contraction criterion is smaller than the
expansion criterion.
- checkDimension(int, Object) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Check array dimensions.
- checkDimension(int) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Throws DimensionMismatchException if dimension != k.
- checkedCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Computes the cumulative probability function and checks for NaN
values returned.
- checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Throws MathIllegalStateException if n > 0.
- checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Throws MathIllegalStateException if the statistic is not empty.
- checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Throws IllegalStateException if n > 0.
- checker - Variable in class org.apache.commons.math3.optim.BaseOptimizer
-
Convergence checker.
- checker - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Convergence checker.
- checker - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Convergence checker.
- checker - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Convergence checker.
- checkFeasableCount - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Determines how often a new random offspring is generated in case it is
not feasible / beyond the defined limits, default is 0.
- checkFeasableCount - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Determines how often a new random offspring is generated in case it is
not feasible / beyond the defined limits, default is 0.
- checkFinite(double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Check that the argument is a real number.
- checkFinite(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
-
Check that all the elements are real numbers.
- checkIndex(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Check if an index is valid.
- checkIndex(int) - Method in class org.apache.commons.math3.linear.RealVector
-
Check if an index is valid.
- checkIndex(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Check whether an index is valid.
- checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Checks that the indices of a subvector are valid.
- checkInterpolation() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Check interpolation can be performed.
- checkLen(int, int) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Check two lengths are equal.
- checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrix indices are valid.
- checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a matrix is multiplication compatible with the instance.
- checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrices are multiplication compatible
- checkNonNegative(long[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that all entries of the input array are >= 0.
- checkNonNegative(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check all entries of the input array are >= 0.
- checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils
-
Checks that an object is not null.
- checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils
-
Checks that an object is not null.
- checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that the given array is sorted.
- checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that the given array is sorted.
- checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that the given array is sorted in strictly increasing order.
- checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Performs all dimension checks on the parameters of
solve and
solveInPlace,
and throws an exception if one of the checks fails.
- checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Performs all dimension checks on the parameters of
solve
and
solveInPlace,
and throws an exception if one of the checks fails.
- checkParameters() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Checks dimensions and values of boundaries and inputSigma if defined.
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Checks dimensions and values of boundaries and inputSigma if defined.
- checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Check a point with respect to the interval.
- checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check a point with respect to the region.
- checkPoint(BSPTree<S>, Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check a point with respect to the region starting at a given node.
- checkPoint(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check a point with respect to the region.
- checkPositive(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that all entries of the input array are strictly positive.
- checkRectangular(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Throws DimensionMismatchException if the input array is not rectangular.
- checkRowIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a row index is valid.
- checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if a row index is valid.
- checkSampleData(double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Check sample data.
- checkSampleData(StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Check sample data.
- checkSignificanceLevel(double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Check significance level.
- checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if submatrix ranges indices are valid.
- checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if submatrix ranges indices are valid.
- checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if submatrix ranges indices are valid.
- checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if submatrix ranges indices are valid.
- checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a matrix is subtraction compatible with the instance.
- checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrices are subtraction compatible
- checkSufficientData(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Throws MathIllegalArgumentException if the matrix does not have at least
two columns and two rows.
- checkSufficientData(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Throws IllegalArgumentException of the matrix does not have at least
two columns and two rows
- checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Checks whether a matrix is symmetric.
- checkSymmetry(RealLinearOperator, RealVector, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
-
Performs a symmetry check on the specified linear operator, and throws an
exception in case this check fails.
- checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Asserts that representation can represent a valid chromosome.
- checkValidity(List<Integer>) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
-
Asserts that representation can represent a valid chromosome.
- checkValidity(List<Double>) - Method in class org.apache.commons.math3.genetics.RandomKey
-
Asserts that representation can represent a valid chromosome.
- checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Check if instance and specified vectors have the same dimension.
- checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Check if instance dimension is equal to some expected value.
- checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check if instance and specified vectors have the same dimension.
- checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check if instance dimension is equal to some expected value.
- checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Check if instance and specified vectors have the same dimension.
- checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.RealVector
-
Check if instance dimension is equal to some expected value.
- checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Check if instance dimension is equal to some expected value.
- CHI_SQUARE_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
-
Singleton ChiSquareTest instance.
- chiN - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Expectation of ||N(0,I)|| == norm(randn(N,1)).
- chiN - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Expectation of ||N(0,I)|| == norm(randn(N,1)).
- chiSquare(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
- chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
- chiSquare(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- chiSquare(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
- chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- ChiSquaredDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the chi-squared distribution.
- ChiSquaredDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Create a Chi-Squared distribution with the given degrees of freedom.
- ChiSquaredDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Create a Chi-Squared distribution with the given degrees of freedom and
inverse cumulative probability accuracy.
- ChiSquaredDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Create a Chi-Squared distribution with the given degrees of freedom and
inverse cumulative probability accuracy.
- ChiSquareTest - Class in org.apache.commons.math3.stat.inference
-
Implements Chi-Square test statistics.
- ChiSquareTest() - Constructor for class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Construct a ChiSquareTest
- chiSquareTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
- chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Performs a
Chi-square goodness of fit test evaluating the null hypothesis that the
observed counts conform to the frequency distribution described by the expected
counts, with significance level
alpha.
- chiSquareTest(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
- chiSquareTest(long[][], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Performs a
chi-square test of independence evaluating the null hypothesis that the
classifications represented by the counts in the columns of the input 2-way table
are independent of the rows, with significance level
alpha.
- chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Returns the
observed significance level, or
p-value, associated with a Chi-Square two sample test comparing
bin frequency counts in
observed1 and
observed2.
- chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Performs a Chi-Square two sample test comparing two binned data
sets.
- chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- CholeskyDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the Cholesky decomposition of a matrix.
- CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
-
Calculates the Cholesky decomposition of the given matrix.
- CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
-
Calculates the Cholesky decomposition of the given matrix.
- CholeskyDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- CholeskyDecomposition.Solver(double[][]) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Build a solver from decomposed matrix.
- chooseInitialCenters(Collection<T>, int, Random) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Use K-means++ to choose the initial centers.
- chopOffMinus(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Chop off parts of the tree.
- chopOffPlus(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Chop off parts of the tree.
- Chromosome - Class in org.apache.commons.math3.genetics
-
Individual in a population.
- Chromosome() - Constructor for class org.apache.commons.math3.genetics.Chromosome
-
- ChromosomePair - Class in org.apache.commons.math3.genetics
-
- ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math3.genetics.ChromosomePair
-
Create a chromosome pair.
- chromosomes - Variable in class org.apache.commons.math3.genetics.ListPopulation
-
List of chromosomes
- classes() - Method in class org.apache.commons.math3.util.TransformerMap
-
Returns the Set of Classes used as keys in the map.
- ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the classical fourth order Runge-Kutta
integrator for Ordinary Differential Equations (it is the most
often used Runge-Kutta method).
- ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Simple constructor.
- ClassicalRungeKuttaStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the classical fourth
order Runge-Kutta integrator.
- ClassicalRungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Simple constructor.
- ClassicalRungeKuttaStepInterpolator(ClassicalRungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Copy constructor.
- classify() - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
- clear() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Method that will called in order to clear all stored optima.
- clear() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Method that will called in order to clear all stored optima.
- clear() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Method that will called in order to clear all stored optima.
- clear() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
- clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
- clear() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Clears the internal state of the Statistic
- clear() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.Frequency
-
Clears the frequency table
- clear() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
As the name suggests, clear wipes the internals and reorders everything in the
canonical order.
- clear() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Clears all data from the model.
- clear() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Clears internal buffers and resets the regression model.
- clear() - Method in interface org.apache.commons.math3.util.DoubleArray
-
Clear the double array
- clear() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Clear the array contents, resetting the number of elements to zero.
- clear() - Method in class org.apache.commons.math3.util.TransformerMap
-
Clears all the Class to Transformer mappings.
- clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Remove all the event handlers that have been added to the integrator.
- clearEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Remove all the event handlers that have been added to the integrator.
- clearIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
-
Clears the IEEE 854 status flags.
- clearObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Remove all observations.
- clearObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.
Remove all observations.
- clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Remove all the step handlers that have been added to the integrator.
- clearStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Remove all the step handlers that have been added to the integrator.
- clone() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
- clone(FastFourierTransformer.MultiDimensionalComplexMatrix) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
Copy contents of current array into mdcm.
- closeReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
-
Closes valuesFileURL after use in REPLAY_MODE.
- closestPoint(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Compute the point of the instance closest to another line.
- Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
-
- Cluster(T) - Constructor for class org.apache.commons.math3.stat.clustering.Cluster
-
Build a cluster centered at a specified point.
- cluster(Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Performs DBSCAN cluster analysis.
- cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Runs the K-means++ clustering algorithm.
- cluster(Collection<T>, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Runs the K-means++ clustering algorithm.
- Clusterable<T> - Interface in org.apache.commons.math3.stat.clustering
-
Interface for points that can be clustered together.
- CMAESOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
for non-linear, non-convex, non-smooth, global function minimization.
- CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- CMAESOptimizer - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- CMAESOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
As of version 3.1: Parameter lambda must be
passed with the call to optimize (whereas in the current code it is set to an undocumented value).
- CMAESOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
As of version 3.1: Parameter lambda must be
passed with the call to optimize (whereas in the current code it is set to an undocumented value)..
- CMAESOptimizer(int, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
As of version 3.1: Parameters lambda and inputSigma must be
passed with the call to optimize.
- CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
- CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
As of version 3.1: Parameters lambda and inputSigma must be
passed with the call to optimize.
- CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- CMAESOptimizer.DoubleIndex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Used to sort fitness values.
- CMAESOptimizer.DoubleIndex(double, int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
-
- CMAESOptimizer.DoubleIndex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Used to sort fitness values.
- CMAESOptimizer.DoubleIndex(double, int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
- CMAESOptimizer.FitnessFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Normalizes fitness values to the range [0,1].
- CMAESOptimizer.FitnessFunction() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
Simple constructor.
- CMAESOptimizer.FitnessFunction - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Normalizes fitness values to the range [0,1].
- CMAESOptimizer.FitnessFunction() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
Simple constructor.
- CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Population size.
- CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
-
- CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Population size.
- CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
-
Deprecated.
- CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Input sigma values.
- CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
-
- CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Input sigma values.
- CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
-
Deprecated.
- coeff - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
extrapolation coefficients.
- coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
The coefficients of the polynomial, ordered by degree -- i.e.,
coefficients[0] is the constant term and coefficients[n] is the
coefficient of x^n where n is the degree of the polynomial.
- coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
The coefficients of the polynomial, ordered by degree -- i.e.
- coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
The coefficients of the polynomial, ordered by degree -- i.e.
- coefficients - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Coefficients of the constraint (left hand side).
- coefficients - Variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Coefficients of the linear equation (ci).
- coefficients - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Coefficients of the constraint (left hand side).
- coefficients - Variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Coefficients of the constraint (ci).
- coefficientsComputed - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Whether the polynomial coefficients are available.
- coefficientsComputed - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Whether the polynomial coefficients are available.
- collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Returns a MultivariateFunction h(x[]) defined by
- collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Returns a MultivariateFunction h(x[]) defined by
- cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- column - Variable in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Column.
- columnLabels - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
The variables each column represents
- columnLabels - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
The variables each column represents
- columns - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Number of columns of the matrix.
- columns - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Number of columns of the matrix.
- columns - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Number of columns of the matrix.
- columns - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Column dimension.
- columnSeparator - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Column separator.
- combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Returns the univariate function
h(x) = combiner(f(x), g(x)).
- combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns a new vector representing a * this + b * y, the linear
combination of this and y.
- combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Returns a new vector representing a * this + b * y, the linear
combination of this and y.
- combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Updates this with the linear combination of this and
y.
- combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Updates this with the linear combination of this and
y.
- comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation of a permutation corresponding to the
data sorted by comparator.
- compare(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
-
Compare two instances.
- compare(Comparable<T>, Comparable<T>) - Method in class org.apache.commons.math3.stat.Frequency.NaturalComparator
-
Compare the two Comparable arguments.
- compareTo(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Compares this object to another based on size.
- compareTo(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Compares this object to another based on size.
- compareTo(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
-
Compares two chromosomes based on their fitness.
- compareTo(PolygonsSet.ComparableSegment) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
- compareTo(OrderedTuple) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Compares this ordered T-uple with the specified object.
- compareTo(CMAESOptimizer.DoubleIndex) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
- compareTo(CMAESOptimizer.DoubleIndex) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
- compareTo(NaturalRanking.IntDoublePair) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Compare this IntDoublePair to another pair.
- compareTo(BigReal) - Method in class org.apache.commons.math3.util.BigReal
- compareTo(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation returns the same value as
new Double(this.doubleValue()).compareTo(new
Double(o.doubleValue()))
- compareTo(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Compares two numbers given some amount of allowed error.
- compareTo(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Compares two numbers given some amount of allowed error.
- compileCompositionIndirection(int, int, DSCompiler, DSCompiler, int[][], int[][]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the function composition indirection array.
- compileDerivativesIndirection(int, int, DSCompiler, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the derivatives indirection array.
- compileLowerIndirection(int, int, DSCompiler, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the lower derivatives indirection array.
- compileMultiplicationIndirection(int, int, DSCompiler, DSCompiler, int[]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the multiplication indirection array.
- compiler - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compiler for the current dimensions.
- compilers - Static variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Array of all compilers created so far.
- compileSizes(int, int, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the sizes array.
- compIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Indirection arrays for function composition.
- complainIfNotSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
-
Check if a parameter is supported and throw an IllegalArgumentException if not.
- complement(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Negate the mantissa of this by computing the complement.
- Complex - Class in org.apache.commons.math3.complex
-
Representation of a Complex number, i.e.
- Complex(double) - Constructor for class org.apache.commons.math3.complex.Complex
-
Create a complex number given only the real part.
- Complex(double, double) - Constructor for class org.apache.commons.math3.complex.Complex
-
Create a complex number given the real and imaginary parts.
- ComplexField - Class in org.apache.commons.math3.complex
-
Representation of the complex numbers field.
- ComplexField() - Constructor for class org.apache.commons.math3.complex.ComplexField
-
Private constructor for the singleton.
- ComplexField.LazyHolder - Class in org.apache.commons.math3.complex
-
Holder for the instance.
- ComplexField.LazyHolder() - Constructor for class org.apache.commons.math3.complex.ComplexField.LazyHolder
-
- ComplexFormat - Class in org.apache.commons.math3.complex
-
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
- ComplexFormat() - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with the default imaginary character, 'i', and the
default number format for both real and imaginary parts.
- ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom number format for both real and
imaginary parts.
- ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom number format for the real part and a
custom number format for the imaginary part.
- ComplexFormat(String) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom imaginary character, and the default
number format for both real and imaginary parts.
- ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom imaginary character, and a custom number
format for both real and imaginary parts.
- ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom imaginary character, a custom number
format for the real part, and a custom number format for the imaginary
part.
- complexSolver - Variable in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Complex solver.
- ComplexUtils - Class in org.apache.commons.math3.complex
-
Static implementations of common
Complex utilities functions.
- ComplexUtils() - Constructor for class org.apache.commons.math3.complex.ComplexUtils
-
Default constructor.
- components - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Double components of the T-uple.
- components - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Components of the expandable ODE.
- compose(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute composition of the instance by a univariate function.
- compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute composition of a derivative structure by a function.
- compose(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Composes functions.
- compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Composes functions.
- compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
- CompositeFormat - Class in org.apache.commons.math3.util
-
Base class for formatters of composite objects (complex numbers, vectors ...).
- CompositeFormat() - Constructor for class org.apache.commons.math3.util.CompositeFormat
-
Class contains only static methods.
- compute(MathArrays.Function) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Performs an operation on the addressable elements of the array.
- computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Compute bin stats.
- computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
-
Compute bin stats.
- computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Compute bin stats.
- computeCapacity(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Compute the capacity needed for a given size.
- computeCapacity(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Compute the capacity needed for a given size.
- computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Calculate the coefficients of Lagrange polynomial from the
interpolation data.
- computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Calculate the normal polynomial coefficients given the Newton form.
- computeCoefficients(int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Compute the interpolation coefficients for dense output.
- computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Computes the correlation matrix for the columns of the
input matrix.
- computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Computes the correlation matrix for the columns of the
input rectangular array.
- computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Computes the Spearman's rank correlation matrix for the columns of the
input matrix.
- computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Computes the Spearman's rank correlation matrix for the columns of the
input rectangular array.
- computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Computes the cost.
- computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Computes the cost.
- computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Compute a covariance matrix from a matrix whose columns represent
covariates.
- computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a matrix whose columns represent
covariates.
- computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Compute a covariance matrix from a rectangular array whose columns represent
covariates.
- computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a rectangular array whose columns represent
covariates.
- computeCovariances(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Get the covariance matrix of the optimized parameters.
- computeCovariances(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Get the covariance matrix of the optimized parameters.
- computeDerivativeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.
Compute the objective function value.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Compute the derivatives and check the number of evaluations.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the current time derivative of the complete state vector.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.FirstOrderConverter
-
Get the current time derivative of the state vector.
- computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
-
Get the current time derivative of the state vector.
- computeDerivatives(double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
-
Compute the derivatives related to the secondary state parameters.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Get the current time derivative of the state vector.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
-
Get the current time derivative of the state vector.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get the current time derivative of the state vector of the underlying FODE.
- computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations
-
Compute the derivatives related to the secondary state parameters.
- computeDistribution() - Method in class org.apache.commons.math3.random.ValueServer
-
Computes the empirical distribution using values from the file
in valuesFileURL, using the default number of bins.
- computeDistribution(int) - Method in class org.apache.commons.math3.random.ValueServer
-
Computes the empirical distribution using values from the file
in valuesFileURL and binCount bins.
- computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
-
Return a copy of the divided difference array.
- computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Compute exp(a).
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Compute some geometrical properties.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
-
Computes the Jacobian matrix.
- computeKey(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Compute the key to access a matrix element
- computeKey(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Compute the key to access a matrix element.
- computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Compute ln(a).
- computeLSB(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Compute the least significant bit of a long.
- computeMainStateJacobian(double, double[], double[], double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Compute the jacobian matrix of ODE with respect to main state.
- computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math3.ode.MainStateJacobianProvider
-
Compute the jacobian matrix of ODE with respect to main state.
- computeMSB(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Compute the most significant bit of a long.
- computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
Compute the gradient vector.
- computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.
Compute the gradient vector.
- computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.
Compute the gradient vector.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Compute the objective function value.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Compute the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Computes the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Computes the objective function value.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Computes the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Compute the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Compute the objective function value.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Compute the objective function value.
- computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Compute the objective function value.
- computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math3.ode.ParameterJacobianProvider
-
Compute the Jacobian matrix of ODE with respect to one parameter.
- computeParameterJacobian(double, double[], double[], String, double[]) - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Compute the Jacobian matrix of ODE with respect to one parameter.
- computePartialDerivatives() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Compute all partial derivatives functions.
- computePartialDerivatives() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Compute all partial derivatives.
- computePi(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Compute π using Jonathan and Peter Borwein quartic formula.
- computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Computes the residuals.
- computeResiduals(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Computes the residuals.
- computeRoots(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Computes the n-th roots of unity.
- computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Computes the rule for the given order.
- computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
Computes the rule for the given order.
- computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
-
Computes the rule for the given order.
- computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
-
Get the current time derivative of the state vector.
- computeShift(int, int, int, SchurTransformer.ShiftInfo) - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Compute the shift for the current iteration.
- computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Computes an estimate of the standard deviation of the parameters.
- computeSigma(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Computes an estimate of the standard deviation of the parameters.
- computeSplineCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Compute the spline coefficients from the list of function values and
function partial derivatives values at the four corners of a grid
element.
- computeSplineCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Compute the spline coefficients from the list of function values and
function partial derivatives values at the four corners of a grid
element.
- computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Compute sample statistics.
- computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
-
Compute sample statistics.
- computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Compute sample statistics.
- computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Compute step grow/shrink factor according to normalized error.
- computeStringConstants(int) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Recompute the high precision string constants.
- computeUpToDegree(int, int, PolynomialsUtils.RecurrenceCoefficientsGenerator, List<BigFraction>) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Compute polynomial coefficients up to a given degree.
- computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Computes the weighted Jacobian matrix.
- computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Computes the Jacobian matrix.
- concatenateSamples(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Concatenate the samples into one array.
- condense() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Perform condensation on a tree.
- conjugate() - Method in class org.apache.commons.math3.complex.Complex
-
Return the conjugate of this complex number.
- ConjugateGradient - Class in org.apache.commons.math3.linear
-
- ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
-
- ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
-
- ConjugateGradientFormula - Enum in org.apache.commons.math3.optimization.general
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- ConjugateGradientFormula() - Constructor for enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.
- Constant - Class in org.apache.commons.math3.analysis.function
-
Constant function.
- Constant(double) - Constructor for class org.apache.commons.math3.analysis.function.Constant
-
- CONSTANT_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Always return mu
- constantTerm - Variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Constant term of the linear equation.
- constantTerm - Variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Constant term of the linear equation.
- constraints - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Linear constraints.
- constraints - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Linear constraints.
- contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Check if the instance contains a point.
- contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Check if the instance contains a point.
- contains(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Check if the line contains a point.
- contains(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the instance entirely contains another region.
- contains(Region<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the instance entirely contains another region.
- containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
-
Tests if a Class is present in the TransformerMap.
- containsConstant - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
boolean flag indicator of whether a constant was included
- containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Check if a value is associated with a key.
- containsKey(int, int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Check if the tables contain an element associated with specified key
at specified index.
- containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Check if a value is associated with a key.
- containsKey(int, int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Check if the tables contain an element associated with specified key
at specified index.
- containsNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Checks for presence of NaNs in ranks.
- containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
-
Tests if a NumberTransformer is present in the TransformerMap.
- context - Variable in exception org.apache.commons.math3.exception.MathArithmeticException
-
Context.
- context - Variable in exception org.apache.commons.math3.exception.MathIllegalArgumentException
-
Context.
- context - Variable in exception org.apache.commons.math3.exception.MathIllegalStateException
-
Context.
- context - Variable in exception org.apache.commons.math3.exception.MathRuntimeException
-
Context.
- context - Variable in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Context.
- context - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Arbitrary context information.
- ContinuedFraction - Class in org.apache.commons.math3.util
-
Provides a generic means to evaluate continued fractions.
- ContinuedFraction() - Constructor for class org.apache.commons.math3.util.ContinuedFraction
-
Default constructor.
- ContinuousOutputModel - Class in org.apache.commons.math3.ode
-
This class stores all information provided by an ODE integrator
during the integration process and build a continuous model of the
solution from this.
- ContinuousOutputModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputModel
-
Simple constructor.
- contract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Contracts the storage array to the (size of the element set) + 1 - to
avoid a zero length array.
- contractionCriterion - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The contraction criteria determines when the internal array will be
contracted to fit the number of elements contained in the element
array + 1.
- controlMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The control matrix, used to integrate a control input into the state estimation.
- controlMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The control matrix, equivalent to B.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optim.ConvergenceChecker
-
Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.SimplePointChecker
-
Check if the optimization algorithm has converged considering the
last two points.
- converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optim.SimpleValueChecker
-
Check if the optimization algorithm has converged considering the
last two points.
- converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
Check if the optimization algorithm has converged considering the
last two points.
- converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
Check if the optimization algorithm has converged considering the
last two points.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optimization.ConvergenceChecker
-
Deprecated.
Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.
Check if the optimization algorithm has converged considering the
last two points.
- converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.
Check if the optimization algorithm has converged considering the
last two points.
- converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.
Check if the optimization algorithm has converged considering the
last two points.
- converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.
Check if the optimization algorithm has converged considering the
last two points.
- convergence - Variable in class org.apache.commons.math3.ode.events.EventState
-
Convergence threshold for event localization.
- ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optim
-
This interface specifies how to check if an optimization algorithm has
converged.
- ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- ConvergenceException - Exception in org.apache.commons.math3.exception
-
Error thrown when a numerical computation can not be performed because the
numerical result failed to converge to a finite value.
- ConvergenceException() - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
-
Construct the exception.
- ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
-
Construct the exception with a specific context and arguments.
- convertIndex(int, int, int[][], int, int, int[][]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Convert an index from one (parameters, order) structure to another.
- convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils
-
Convert an array of primitive doubles to an array of Complex objects.
- convertToDouble(Pair<T[], T[]>) - Static method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Converts the from the actual Number type to double
- copy() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns a (deep) copy of this vector.
- copy() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Returns a (deep) copy of this vector.
- copy() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns a (deep) copy of this vector.
- copy() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Copy the instance.
- copy() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Copy the instance.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns a copy of this DescriptiveStatistics instance with the same internal state.
- copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Returns a copy of the statistic with the same internal state.
- copy(FirstMoment, FirstMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Returns a copy of the statistic with the same internal state.
- copy(FourthMoment, FourthMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns a copy of the statistic with the same internal state.
- copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns a copy of the statistic with the same internal state.
- copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns a copy of the statistic with the same internal state.
- copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Returns a copy of the statistic with the same internal state.
- copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns a copy of the statistic with the same internal state.
- copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns a copy of the statistic with the same internal state.
- copy(Skewness, Skewness) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns a copy of the statistic with the same internal state.
- copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Returns a copy of the statistic with the same internal state.
- copy(ThirdMoment, ThirdMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns a copy of the statistic with the same internal state.
- copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns a copy of the statistic with the same internal state.
- copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns a copy of the statistic with the same internal state.
- copy(Min, Min) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns a copy of the statistic with the same internal state.
- copy(Percentile, Percentile) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Copies source to dest.
- copy() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns a copy of the statistic with the same internal state.
- copy(Product, Product) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Returns a copy of the statistic with the same internal state.
- copy(Sum, Sum) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns a copy of the statistic with the same internal state.
- copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns a copy of the statistic with the same internal state.
- copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns a copy of this SummaryStatistics instance with the same internal state.
- copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns a copy of this SynchronizedDescriptiveStatistics instance with the
same internal state.
- copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Copies source to dest.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns a copy of this SynchronizedSummaryStatistics instance with the
same internal state.
- copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Copies source to dest.
- copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Copies source to dest, copying the underlying data, so dest is
a new, independent copy of source.
- copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns a copy of the ResizableDoubleArray.
- copyArray(double[], double[]) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
- copyArray(double[], double[]) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
- copyBlockPart(T[], int, int, int, int, int, T[], int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Copy a part of a block into another one
- copyBlockPart(double[], int, int, int, int, int, double[], int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Copy a part of a block into another one
- copyColumn(RealMatrix, int, RealMatrix, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Copies a column from m1 to m2.
- copyColumn(RealMatrix, int, RealMatrix, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Copies a column from m1 to m2.
- copyIn(T[][]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Replace data with a fresh copy of the input array.
- copyIn(double[][]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Replace data with a fresh copy of the input array.
- copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the source array.
- copyOf(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the source array.
- copyOf(int[], int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the source array.
- copyOf(double[], int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the source array.
- copyOut() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Get a fresh copy of the underlying data array.
- copyOut() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Get a fresh copy of the underlying data array.
- copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Copy the instance.
- copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Copy the instance.
- copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Copy the instance.
- copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Copy the instance.
- copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the instance with the sign of the argument.
- copysign(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
-
Creates an instance that is the same as x except that it has the sign of y.
- copySign(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Returns the first argument with the sign of the second argument.
- copySign(float, float) - Static method in class org.apache.commons.math3.util.FastMath
-
Returns the first argument with the sign of the second argument.
- copySign(byte, byte) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySign(short, short) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySign(int, int) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySign(long, long) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Copy a submatrix.
- copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Copy a submatrix.
- copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Copy a submatrix.
- copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Copy a submatrix.
- copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Copy a submatrix.
- copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Copy a submatrix.
- copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Copy a submatrix.
- copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Copy a submatrix.
- correct(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Correct the current state estimate with an actual measurement.
- correct(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Correct the current state estimate with an actual measurement.
- correctOrientation() - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Correct the orientation of the loops contained in the tree.
- CorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
-
- CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Builds a correlated random vector generator from its mean
vector and covariance matrix.
- CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Builds a null mean random correlated vector generator from its
covariance matrix.
- correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Computes the Pearson's product-moment correlation coefficient between the two arrays.
- correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Computes the Spearman's rank correlation coefficient between the two arrays.
- correlationMatrix - Variable in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
correlation matrix
- cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Cosine operation.
- cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute cosine of a derivative structure.
- Cos - Class in org.apache.commons.math3.analysis.function
-
Cosine function.
- Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos
-
- cos() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the
cosine
of this complex number.
- cos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the cosine of the argument.
- cos - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Cosine of the line angle.
- cos(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Cosine function.
- cosAngle(RealVector, RealVector) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Compute the cosine of the angle between 2 vectors.
- cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Hyperbolic cosine operation.
- cosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute hyperbolic cosine of a derivative structure.
- Cosh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic cosine function.
- Cosh() - Constructor for class org.apache.commons.math3.analysis.function.Cosh
-
- cosh() - Method in class org.apache.commons.math3.complex.Complex
-
- cosh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the hyperbolic cosine of a number.
- cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Computes the cosine of the angle between this vector and the
argument.
- COSINE_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
-
Cosine table (high bits).
- COSINE_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
-
Cosine table (low bits).
- cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes cos(a) Used when 0 < a < pi/4.
- cosQ(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute cosine in the first quadrant by subtracting input from PI/2 and
then calling sinQ.
- cost - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Cost value (square root of the sum of the residuals).
- cost - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- costPerStep - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
overall cost of applying step reduction up to iteration k+1, in number of calls.
- costPerTimeUnit - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
cost per unit step.
- costRelativeTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Desired relative error in the sum of squares.
- costRelativeTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Desired relative error in the sum of squares.
- count - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
Steps counter.
- count - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Count through the results in rsl[]
- count - Variable in class org.apache.commons.math3.util.Incrementor
-
Current count.
- count - Variable in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Unidimensional counter.
- count - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Modifications count.
- count - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Modifications count.
- counter - Variable in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Multidimensional counter.
- cov(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Calculates the cov matrix assuming only the first nreq variables are
included in the calculation.
- Covariance - Class in org.apache.commons.math3.stat.correlation
-
Computes covariances for pairs of arrays or columns of a matrix.
- Covariance() - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a Covariance with no data
- Covariance(double[][], boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a Covariance matrix from a rectangular array
whose columns represent covariates.
- Covariance(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a Covariance matrix from a rectangular array
whose columns represent covariates.
- Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a matrix whose columns
represent covariates.
- Covariance(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a matrix whose columns
represent covariates.
- covariance(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Computes the covariance between the two arrays.
- covariance(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Computes the covariance between the two arrays, using the bias-corrected
formula.
- covarianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Covariance statistic implementation - cannot be reset.
- covarianceMatrix - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Covariance matrix.
- covarianceMatrix - Variable in class org.apache.commons.math3.stat.correlation.Covariance
-
covariance matrix
- covarianceMatrixDeterminant - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
The determinant of the covariance matrix.
- covarianceMatrixInverse - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
The matrix inverse of the covariance matrix.
- covarianceNumerator - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
the running covariance estimate
- covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Derives a correlation matrix from a covariance matrix.
- covMatrix - Variable in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
the square covariance matrix (upper triangular part)
- create(RealLinearOperator) - Static method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Creates a new instance of this class.
- createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math3.random.RandomAdaptor
-
Factory method to create a Random using the supplied
RandomGenerator.
- createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Create a data array in blocks layout.
- createBlocksLayout(int, int) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Create a data array in blocks layout.
- createChebyshevPolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Chebyshev polynomial of the first kind.
- createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a column
FieldMatrix using the data from the input
array.
- createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a column
RealMatrix using the data from the input
array.
- createComplex(double, double) - Method in class org.apache.commons.math3.complex.Complex
-
Create a complex number given the real and imaginary parts.
- createComplexArray(double[][]) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Builds a new array of
Complex from the specified two dimensional
array of real and imaginary parts.
- createContributingStatistics() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Creates and returns a SummaryStatistics whose data will be
aggregated with those of this AggregateSummaryStatistics.
- createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a diagonal matrix with specified elements.
- createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns dimension x dimension identity matrix.
- createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- createFieldMatrix(T[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a
FieldMatrix whose entries are the the values in the
the input array.
- createFieldVector(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a
FieldVector using the data from the input array.
- createH(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Creates H of size m x m as described in [1] (see above).
- createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Hermite polynomial.
- createHypercubeSteps(int, double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Create steps for a unit hypercube.
- createHypercubeSteps(int, double) - Static method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Create steps for a unit hypercube.
- createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Jacobi polynomial.
- createLaguerrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Laguerre polynomial.
- createLegendrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Legendre polynomial.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Create a new FieldMatrix of the same type as the instance with
the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Create a new RealMatrix of the same type as the instance with the
supplied
row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new FieldMatrix of the same type as the instance with
the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new RealMatrix of the same type as the instance with the
supplied
row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Create a new FieldMatrix of the same type as the instance with
the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Create a new RealMatrix of the same type as the instance with the
supplied
row and column dimensions.
- createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Create a new FieldMatrix of the same type as the instance with
the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Create a new RealMatrix of the same type as the instance with the
supplied
row and column dimensions.
- createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Create a new RealMatrix of the same type as the instance with the
supplied
row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Create a new FieldMatrix of the same type as the instance with
the supplied row and column dimensions.
- createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a diagonal matrix with specified elements.
- createRealIdentityMatrix(int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns dimension x dimension identity matrix.
- createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Builds a new two dimensional array of
double filled with the real
and imaginary parts of the specified
Complex numbers.
- createRealMatrix(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- createRealMatrix(double[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a
RealMatrix whose entries are the the values in the
the input array.
- createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a
RealVector using the data from the input array.
- createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Create a row
FieldMatrix using the data from the input
array.
- createRowRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Create a row
RealMatrix using the data from the input
array.
- createTableau(boolean) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Create the tableau by itself.
- createTableau(boolean) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Create the tableau by itself.
- crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math3.genetics.CrossoverPolicy
-
Perform a crossover operation on the given chromosomes.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.CycleCrossover
-
Perform a crossover operation on the given chromosomes.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.NPointCrossover
-
Performs a N-point crossover.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
-
Performs one point crossover.
- crossover(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
-
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
-
Perform a crossover operation on the given chromosomes.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.UniformCrossover
-
Perform a crossover operation on the given chromosomes.
- crossoverPoints - Variable in class org.apache.commons.math3.genetics.NPointCrossover
-
The number of crossover points.
- CrossoverPolicy - Interface in org.apache.commons.math3.genetics
-
Policy used to create a pair of new chromosomes by performing a crossover
operation on a source pair of chromosomes.
- crossoverPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the crossover policy used by the algorithm.
- crossoverRate - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the rate of crossover for the algorithm.
- crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the cross-product of the instance with another vector.
- crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the cross-product of two vectors.
- cs - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Cumulation constant for step-size.
- cs - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Cumulation constant for step-size.
- cumBinP(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The combined probability of the bins up to and including binIndex.
- cumulativeProbability(int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).
- cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.FDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(int, int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
- cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Deprecated.
As of 3.1. In 4.0, this method will be renamed
probability(double x0, double x1).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- current - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
-
Deprecated.
Current entry.
- current - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Deprecated.
- current - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Index of current element.
- current - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Index of current element.
- currentBest - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Current best values for the variables to be optimized.
- currentBest - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
Current best values for the variables to be optimized.
- currentDegree - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Degree of the interpolation polynomials.
- currentPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Current point.
- currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
current state
- CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.fitting
-
Fitter for parametric univariate real functions y = f(x).
- CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter
-
Simple constructor.
- CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
-
- CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.
Simple constructor.
- CurveFitter.OldTheoreticalValuesFunction - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.
- CurveFitter.OldTheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
-
Deprecated.
Simple constructor.
- CurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting
-
Vectorial function computing function theoretical values.
- CurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
-
- CurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.
Vectorial function computing function theoretical values.
- CurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.
Simple constructor.
- cut - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Cut sub-hyperplane.
- CUTOFF_THRESHOLD - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
The cut-off threshold to zero-out entries.
- CUTOFF_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
The cut-off threshold to zero-out entries.
- cX1 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- cXX - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- cXY - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- cY1 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- CycleCrossover<T> - Class in org.apache.commons.math3.genetics
-
Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles
between two parent chromosomes.
- CycleCrossover() - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
-
- CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
-
Creates a new
CycleCrossover policy using the given
randomStart behavior.
- cYX - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- cYY - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
- D - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Interpolation weights.
- D - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Scaling.
- D - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Scaling.
- d - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
diagonals of cross products matrix
- d - Variable in class org.apache.commons.math3.util.BigReal
-
Underlying BigDecimal.
- D0 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 0.
- D2 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 2.
- D3 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 3.
- D4 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 4.
- D5 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 5.
- D6 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 6.
- damps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Damping for step-size.
- damps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Damping for step-size.
- data - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Combined array holding all values.
- data - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Partial derivatives.
- data - Variable in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Entries of the matrix
- data - Variable in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Entries of the matrix.
- data - Variable in class org.apache.commons.math3.linear.ArrayFieldVector
-
Entries of the vector.
- data - Variable in class org.apache.commons.math3.linear.ArrayRealVector
-
Entries of the vector.
- data - Variable in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Converted array.
- data - Variable in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Converted array.
- data - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Input data
- daxpbypz(double, RealVector, double, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
-
A BLAS-like function, for the operation z ← a · x + b
· y + z.
- daxpy(double, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
-
A clone of the BLAS DAXPY function, which carries out the
operation y ← a · x + y.
- dbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of dbar[k+1] = -beta[k+1] * c[k-1].
- DBSCANClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
-
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
- DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Creates a new instance of a DBSCANClusterer.
- DBSCANClusterer.PointStatus - Enum in org.apache.commons.math3.stat.clustering
-
Status of a point during the clustering process.
- DBSCANClusterer.PointStatus() - Constructor for enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
- DctNormalization - Enum in org.apache.commons.math3.transform
-
This enumeration defines the various types of normalizations that can be
applied to discrete cosine transforms (DCT).
- DctNormalization() - Constructor for enum org.apache.commons.math3.transform.DctNormalization
-
- Decimal64 - Class in org.apache.commons.math3.util
-
This class wraps a double value in an object.
- Decimal64(double) - Constructor for class org.apache.commons.math3.util.Decimal64
-
Creates a new instance of this class.
- Decimal64Field - Class in org.apache.commons.math3.util
-
The field of double precision floating-point numbers.
- Decimal64Field() - Constructor for class org.apache.commons.math3.util.Decimal64Field
-
Default constructor.
- decode(List<T>) - Method in interface org.apache.commons.math3.genetics.PermutationChromosome
-
Permutes the sequence of objects of type T according to the
permutation this chromosome represents.
- decode(List<T>) - Method in class org.apache.commons.math3.genetics.RandomKey
-
Permutes the sequence of objects of type T according to the
permutation this chromosome represents.
- decodeGeneric(List<S>, List<Double>, List<Double>) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Decodes a permutation represented by representation and
returns a (generic) list with the permuted values.
- DecompositionSolver - Interface in org.apache.commons.math3.linear
-
Interface handling decomposition algorithms that can solve A × X = B.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BisectionSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Default threshold below which diagonal elements are considered null
and matrix not positive definite.
- DEFAULT_ABSOLUTE_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
in 3.1 (to be removed in 4.0) because this value is too small
to be useful as a default (cf. MATH-798).
- DEFAULT_ACCURACY - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Default value for accuracy.
- DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Default value of the bandwidth parameter.
- DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Default bin count
- DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Default exponent used the weights calculation.
- DEFAULT_CHECKFEASABLECOUNT - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- DEFAULT_COLUMN_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default column separator: ",".
- DEFAULT_CONTRACTION_DELTA - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
- DEFAULT_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Default convergence criterion.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Default amount of error to accept for algorithm convergence.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Default amount of error to accept for algorithm convergence.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.special.Beta
-
Maximum allowed numerical error.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.special.Gamma
-
Maximum allowed numerical error.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.util.ContinuedFraction
-
Maximum allowed numerical error.
- DEFAULT_EXPANSION_FACTOR - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Default value for array size modifier.
- DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Default starting size.
- DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Default starting size.
- DEFAULT_EXTEND - Static variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Default number of extension points of the samples array.
- DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Default format.
- DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.ArrayRealVector
-
Default format.
- DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
-
- DEFAULT_FUNCTION_VALUE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Default function value accuracy.
- DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
- DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
- DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
- DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
- DEFAULT_IMAGINARY_CHARACTER - Static variable in class org.apache.commons.math3.complex.ComplexFormat
-
The default imaginary character.
- DEFAULT_INITIAL_CAPACITY - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Default value for initial capacity.
- DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Default inverse cumulative probability accuracy
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.FDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.TDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_ISACTIVECMA - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- DEFAULT_KHI - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
- DEFAULT_KHI - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
- DEFAULT_KHI - Static variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
- DEFAULT_KHI - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
- DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Default maximum number of iterations for cumulative probability calculations.
- DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Default maximal number of iterations allowed.
- DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default maximal iteration count.
- DEFAULT_MAXIMAL_ORDER - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Default maximal order.
- DEFAULT_MAXITERATIONS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Default number of surface elements that composes the microsphere.
- DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default minimal iteration count.
- DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
default NaN strategy
- DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
-
The default prefix: "{".
- DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default prefix: "{".
- DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
-
The default prefix: "{".
- DEFAULT_RANDOMGENERATOR - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default relative accuracy.
- DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Default relative accuracy.
- DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Default threshold above which off-diagonal elements are considered too different
and matrix not symmetric.
- DEFAULT_RELATIVE_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
in 3.1 (to be removed in 4.0) because this value is too small
to be useful as a default (cf. MATH-798).
- DEFAULT_RHO - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
- DEFAULT_RHO - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
- DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Default value of the number of robustness iterations.
- DEFAULT_ROW_PREFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default row prefix: "{".
- DEFAULT_ROW_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default row separator: ",".
- DEFAULT_ROW_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default row suffix: "}".
- DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat
-
The default separator: ", ".
- DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
-
The default separator: ", ".
- DEFAULT_SIGMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
- DEFAULT_SIGMA - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
- DEFAULT_SINGULARITY_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- DEFAULT_STOPFITNESS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
-
The default suffix: "}".
- DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default suffix: "}".
- DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
-
The default suffix: "}".
- DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
default ties strategy
- DEFAULT_TOO_SMALL - Static variable in class org.apache.commons.math3.linear.LUDecomposition
-
Default bound to determine effective singularity in LU decomposition.
- DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Default amount of error to accept in floating point comparisons (as ulps).
- DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Default amount of error to accept in floating point comparisons (as ulps).
- DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Default amount of error to accept in floating point comparisons (as ulps).
- DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Default amount of error to accept in floating point comparisons (as ulps).
- DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Default Tolerance for having a value considered zero.
- DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
-
- DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
Build a new instance.
- DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
-
- DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Build a new instance.
- DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
-
- DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Creates a new instance of this class.
- DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Creates a new instance of this class.
- DefaultMeasurementModel - Class in org.apache.commons.math3.filter
-
- DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
-
Create a new
MeasurementModel, taking double arrays as input parameters for the
respective measurement matrix and noise.
- DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
-
- DefaultProcessModel - Class in org.apache.commons.math3.filter
-
- DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
-
Create a new
ProcessModel, taking double arrays as input parameters.
- DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
-
Create a new
ProcessModel, taking double arrays as input parameters.
- DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
-
Create a new
ProcessModel, taking double arrays as input parameters.
- DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math3.linear
-
- DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
- DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear
-
- DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
-
- DefaultTransformer - Class in org.apache.commons.math3.util
-
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
- DefaultTransformer() - Constructor for class org.apache.commons.math3.util.DefaultTransformer
-
- defaultTransformer - Variable in class org.apache.commons.math3.util.TransformerMap
-
A default Number Transformer for Numbers and numeric Strings.
- degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns the degree of the polynomial.
- degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns the degree of the polynomial.
- degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns the degree of the polynomial.
- degree - Variable in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.
- degreesOfFreedom - Variable in class org.apache.commons.math3.distribution.TDistribution
-
The degrees of freedom.
- delegate - Variable in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
RandomDataGenerator delegate
- delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Delete an element from the tree.
- delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Delete the node from the tree.
- delta - Variable in class org.apache.commons.math3.linear.ConjugateGradient
-
The value of δ, for the default stopping criterion.
- delta - Variable in class org.apache.commons.math3.linear.SymmLQ
-
The value of the custom tolerance δ for the default stopping
criterion.
- delta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of the custom tolerance δ for the default stopping
criterion.
- delta - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Grid size
- DELTA - Static variable in class org.apache.commons.math3.special.Beta
-
The coefficients of the series expansion of the Δ function.
- deltaMinusDeltaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the value of Δ(b) - Δ(a + b), with 0 ≤ a ≤ b and b ≥ 10.
- denominator - Variable in class org.apache.commons.math3.fraction.BigFraction
-
The denominator.
- denominator - Variable in class org.apache.commons.math3.fraction.Fraction
-
The denominator.
- denominatorDegreesOfFreedom - Variable in class org.apache.commons.math3.distribution.FDistribution
-
The numerator degrees of freedom.
- denominatorFormat - Variable in class org.apache.commons.math3.fraction.AbstractFormat
-
The format used for the denominator.
- density(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.FDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double[]) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double[]) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.TDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- densityPrefactor1 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The constant value of
shape / scale * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape),
where
L(shape) is the Lanczos approximation returned by
Gamma.lanczos(double).
- densityPrefactor2 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The constant value of
shape * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape),
where
L(shape) is the Lanczos approximation returned by
Gamma.lanczos(double).
- derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateFunction
-
Deprecated.
Returns the derivative of the function
- derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction
-
Deprecated.
Returns the derivative of the function
- derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction
-
Deprecated.
Returns the derivative of the function
- derivative() - Method in class org.apache.commons.math3.analysis.function.Acos
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Acosh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Asin
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Asinh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Atanh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cbrt
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Constant
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cos
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cosh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log10
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Minus
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Power
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
-
- derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
- derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get the derivative of the polynomial spline function.
- derivativesIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Indirection array for partial derivatives.
- DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation
-
Class representing both the value and the differentials of a function.
- DerivativeStructure(DSCompiler) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance with all values and derivatives set to 0.
- DerivativeStructure(int, int) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance with all values and derivatives set to 0.
- DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance representing a constant value.
- DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance representing a variable.
- DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Linear combination constructor.
- DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Linear combination constructor.
- DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Linear combination constructor.
- DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance from all its derivatives.
- DerivativeStructure(DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Copy constructor.
- DerivativeStructure.DataTransferObject - Class in org.apache.commons.math3.analysis.differentiation
-
Internal class used only for serialization.
- DerivativeStructure.DataTransferObject(int, int, double[]) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Simple constructor.
- DescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Maintains a dataset of values of a single variable and computes descriptive
statistics based on stored data.
- DescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Construct a DescriptiveStatistics instance with an infinite window
- DescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Construct a DescriptiveStatistics instance with the specified window
- DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Construct a DescriptiveStatistics instance with an infinite window
and the initial data values in double[] initialDoubleArray.
- DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Copy constructor.
- deSerializeContext(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
- deSerializeMessages(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
- deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Solve a*x = b and d*x = 0 in the least squares sense.
- determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Solve a*x = b and d*x = 0 in the least squares sense.
- determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Determine the Levenberg-Marquardt parameter.
- determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Determine the Levenberg-Marquardt parameter.
- dev - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Deviation of most recently added value from previous first moment.
- df(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes approximate degrees of freedom for 2-sample t-test.
- dfbg - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
-
Degrees of freedom in numerator (between groups).
- Dfp - Class in org.apache.commons.math3.dfp
-
Decimal floating point library for Java
- Dfp(DfpField) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Makes an instance with a value of zero.
- Dfp(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a byte value.
- Dfp(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from an int value.
- Dfp(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a long value.
- Dfp(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a double value.
- Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Copy constructor.
- Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a String representation.
- Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Creates an instance with a non-finite value.
- dfp2sci() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert an instance to a string using scientific notation.
- dfp2string() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert an instance to a string using normal notation.
- DfpDec - Class in org.apache.commons.math3.dfp
-
Subclass of
Dfp which hides the radix-10000 artifacts of the superclass.
- DfpDec(DfpField) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Makes an instance with a value of zero.
- DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a byte value.
- DfpDec(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from an int value.
- DfpDec(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a long value.
- DfpDec(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a double value.
- DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Copy constructor.
- DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a String representation.
- DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Creates an instance with a non-finite value.
- DfpField - Class in org.apache.commons.math3.dfp
-
Field for Decimal floating point instances.
- DfpField(int) - Constructor for class org.apache.commons.math3.dfp.DfpField
-
Create a factory for the specified number of radix digits.
- DfpField(int, boolean) - Constructor for class org.apache.commons.math3.dfp.DfpField
-
Create a factory for the specified number of radix digits.
- DfpField.RoundingMode - Enum in org.apache.commons.math3.dfp
-
Enumerate for rounding modes.
- DfpField.RoundingMode() - Constructor for enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
- DfpMath - Class in org.apache.commons.math3.dfp
-
Mathematical routines for use with
Dfp.
- DfpMath() - Constructor for class org.apache.commons.math3.dfp.DfpMath
-
Private Constructor.
- DftNormalization - Enum in org.apache.commons.math3.transform
-
This enumeration defines the various types of normalizations that can be
applied to discrete Fourier transforms (DFT).
- DftNormalization() - Constructor for enum org.apache.commons.math3.transform.DftNormalization
-
- dfwg - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
-
Degrees of freedom in denominator (within groups).
- diag - Variable in class org.apache.commons.math3.linear.JacobiPreconditioner
-
The diagonal coefficients of the preconditioner.
- diag(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- diag(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- diagC - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Diagonal of C, used for diagonalOnly.
- diagC - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Diagonal of C, used for diagonalOnly.
- diagD - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Diagonal of sqrt(D), stored for efficiency.
- diagD - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Diagonal of sqrt(D), stored for efficiency.
- diagonalOnly - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Defines the number of initial iterations, where the covariance matrix
remains diagonal and the algorithm has internally linear time complexity.
- diagonalOnly - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Defines the number of initial iterations, where the covariance matrix
remains diagonal and the algorithm has internally linear time complexity.
- diagR - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Diagonal elements of the R matrix in the Q.R.
- diagR - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Diagonal elements of the R matrix in the Q.R.
- difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Compute the difference of two regions.
- DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis
-
- DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer
-
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
- DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
- DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer
-
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
- DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis
-
- DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
-
- DifferentiableUnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
-
- DifferentiableUnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
- differentiate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
- differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
- differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
- differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
-
- differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
-
- differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
-
- differentiate(double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns the coefficients of the derivative of the polynomial with the given coefficients.
- digamma(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Computes the digamma function of x.
- DIGEST_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Use empirical distribution.
- dim - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Deprecated.
Dimension of the vector.
- dimension - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Space dimension.
- dimension - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
The number of dimensions or columns in the multivariate distribution.
- dimension - Variable in exception org.apache.commons.math3.exception.DimensionMismatchException
-
Correct dimension.
- dimension - Variable in class org.apache.commons.math3.ode.EquationsMapper
-
Dimension of the secondary state parameters.
- dimension - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
-
second order problem dimension.
- dimension - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
-
Dimension of the problem.
- dimension - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Simplex dimension (must be equal to simplex.length - 1).
- dimension - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of objective variables/problem dimension
- dimension - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Simplex dimension (must be equal to simplex.length - 1).
- dimension - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Number of objective variables/problem dimension
- dimension - Variable in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
-
Space dimension.
- dimension - Variable in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
dimension of the square covariance matrix
- dimension - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
-
Number of dimensions.
- DimensionMismatchException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when two dimensions differ.
- DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- dimensionSize - Variable in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
Size in all dimensions.
- direct - Variable in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Orientation.
- direction - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Direction (positive for increasing, negative for decreasing).
- direction - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Line direction.
- direction - Variable in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
boolean value UPSIDE <-> true
- dirtyParameter - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Boolean for selected parameters consistency.
- dirtyState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
indicator for dirty state.
- discardExtremeElements(int, boolean) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Discards the i first or last elements of the array,
depending on the value of front.
- discardFrontElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Discards the i initial elements of the array.
- discardMostRecentElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Discards the i last elements of the array.
- distance(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between two vectors according to the L2 norm.
- distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Compute the distance between the instance and a point.
- distance(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Compute the shortest distance between the instance and another line.
- distance(Rotation, Rotation) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Compute the distance between two rotations.
- distance(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between two vectors according to the L2 norm.
- distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Compute the distance between the instance and a point.
- distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Calculates the shortest distance from a point to this line segment.
- distance(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between two vectors according to the L2 norm.
- distance(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L2 (Euclidean) distance between two points.
- distance(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L2 (Euclidean) distance between two points.
- distance1(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between two vectors according to the L1 norm.
- distance1(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L1 (sum of abs) distance between two points.
- distance1(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L1 (sum of abs) distance between two points.
- distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
-
Returns the distance from the given point.
- distanceFrom(EuclideanDoublePoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Returns the distance from the given point.
- distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Returns the distance from the given point.
- distanceInf(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L∞ (max of abs) distance between two points.
- distanceInf(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L∞ (max of abs) distance between two points.
- distanceSq(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the square of the distance between two vectors.
- distanceSq(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the square of the distance between two vectors.
- distanceSq(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the square of the distance between two vectors.
- distanceSq(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the square of the distance between the instance and another vector.
- distribution - Variable in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Mixture components.
- divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'÷s;' operator.
- divide(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'÷s;' operator.
- divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform division of two derivative structures.
- Divide - Class in org.apache.commons.math3.analysis.function
-
Divide the first operand by the second.
- Divide() - Constructor for class org.apache.commons.math3.analysis.function.Divide
-
- divide(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is
(this / divisor).
- divide(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is (this / divisor),
with divisor interpreted as a real number.
- divide(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Divide this by divisor.
- divide(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Divide by a single digit less than radix.
- divide(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this ÷ a.
- divide(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by the passed BigInteger,
ie this * 1 / bg, returning the result in reduced form.
- divide(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by the passed int, ie
this * 1 / i, returning the result in reduced form.
- divide(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by the passed long, ie
this * 1 / l, returning the result in reduced form.
- divide(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by another, returning the result in
reduced form.
- divide(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Divide the value of this fraction by another.
- divide(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Divide the fraction by an integer.
- divide(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- divide(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- divide(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this ÷ a.
- divide(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this ÷ a.
- DIVIDE_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by division.
- DividedDifferenceInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
- DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
-
- divideRow(int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Subtracts a multiple of one row from another.
- divideRow(int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Subtracts a multiple of one row from another.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Really copy the finalized instance.
- doFinalize() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Really finalize the step.
- doFinalize() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Really finalize the step.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Method for implementing actual integration algorithms in derived
classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Method for implementing actual integration algorithms in derived
classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.
Method for implementing actual integration algorithms in derived
classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Method for implementing actual integration algorithms in derived
classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Method for implementing actual integration algorithms in derived
classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Method for implementing actual integration algorithms in derived
classes.
- doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Runs one iteration of the Simplex method on the given model.
- doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Runs one iteration of the Simplex method on the given model.
- doNormalizedStep(boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Invokes the underlying step handler for the current normalized step.
- doOptimize() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Perform the bulk of optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Perform the bulk of optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Method for implementing actual optimization algorithms in derived
classes.
- doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.
Method for implementing actual optimization algorithms in derived
classes.
- doRemove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Remove an element at specified index.
- doRemove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Remove an element at specified index.
- DormandPrince54Integrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 5(4) Dormand-Prince integrator for Ordinary
Differential Equations.
- DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Simple constructor.
- DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Simple constructor.
- DormandPrince54StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an
ODE integration for the 5(4) Dormand-Prince integrator.
- DormandPrince54StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Simple constructor.
- DormandPrince54StepInterpolator(DormandPrince54StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Copy constructor.
- DormandPrince853Integrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary
Differential Equations.
- DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Simple constructor.
- DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Simple constructor.
- DormandPrince853StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an
ODE integration for the 8(5,3) Dormand-Prince integrator.
- DormandPrince853StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Simple constructor.
- DormandPrince853StepInterpolator(DormandPrince853StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Copy constructor.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BisectionSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Method for implementing actual optimization algorithms in derived
classes.
- dotProduct(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Computes the dot-product of two quaternions.
- dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the dot-product of the instance by a quaternion.
- dotProduct(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the dot-product of the instance and another vector.
- dotProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the dot-product of the instance and another vector.
- dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the dot-product of two vectors.
- dotProduct(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the dot-product of the instance and another vector.
- dotProduct(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the dot-product of the instance and another vector.
- dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the dot product.
- dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the dot product.
- dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Compute the dot product of this vector with v.
- dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Compute the dot product.
- dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
as of 3.1 (to be removed in 4.0). The computation is
performed by the parent class. The method must be kept to maintain
backwards compatibility.
- dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Compute the dot product of this vector with v.
- dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Compute the dot product.
- dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Raises a trap.
- DoubleArray - Interface in org.apache.commons.math3.util
-
Provides a standard interface for double arrays.
- doubleHighPart(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the high order bits from the mantissa.
- doubleValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as a double.
- doubleValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction as a double.
- doubleValue() - Method in class org.apache.commons.math3.util.BigReal
-
Get the double value corresponding to the instance.
- doubleValue() - Method in class org.apache.commons.math3.util.Decimal64
- DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
The DOWNSIDE Direction is used to specify that the observations below
the cutoff point will be used to calculate SemiVariance
- dropPhase1Objective() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Removes the phase 1 objective function, positive cost non-artificial variables,
and the non-basic artificial variables from this tableau.
- dropPhase1Objective() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Removes the phase 1 objective function, positive cost non-artificial variables,
and the non-basic artificial variables from this tableau.
- DSCompiler - Class in org.apache.commons.math3.analysis.differentiation
-
Class holding "compiled" computation rules for derivative structures.
- DSCompiler(int, int, DSCompiler, DSCompiler) - Constructor for class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
- DstNormalization - Enum in org.apache.commons.math3.transform
-
This enumeration defines the various types of normalizations that can be
applied to discrete sine transforms (DST).
- DstNormalization() - Constructor for enum org.apache.commons.math3.transform.DstNormalization
-
- DummyLocalizable - Class in org.apache.commons.math3.exception.util
-
Dummy implementation of the
Localizable interface, without localization.
- DummyLocalizable(String) - Constructor for class org.apache.commons.math3.exception.util.DummyLocalizable
-
Simple constructor.
- DummyStepHandler - Class in org.apache.commons.math3.ode.sampling
-
This class is a step handler that does nothing.
- DummyStepHandler() - Constructor for class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Private constructor.
- DummyStepHandler.LazyHolder - Class in org.apache.commons.math3.ode.sampling
-
Holder for the instance.
- DummyStepHandler.LazyHolder() - Constructor for class org.apache.commons.math3.ode.sampling.DummyStepHandler.LazyHolder
-
- e - Variable in class org.apache.commons.math3.dfp.DfpField
-
- E - Static variable in class org.apache.commons.math3.util.FastMath
-
Napier's constant e, base of the natural logarithm.
- E1 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 1.
- E1_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 1.
- E1_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 6.
- E1_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 7.
- E1_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 8.
- E1_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 9.
- E1_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 10.
- E1_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 11.
- E1_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 12.
- E2_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 1.
- E2_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 6.
- E2_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 7.
- E2_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 8.
- E2_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 9.
- E2_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 10.
- E2_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 11.
- E2_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 12.
- E3 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 3.
- E4 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 4.
- E5 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 5.
- E6 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 6.
- E7 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 7.
- ebeAdd(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element
addition of the arguments.
- ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element division.
- ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element division.
- ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Element-by-element division.
- ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Element-by-element division.
- ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Element-by-element division.
- ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Deprecated.
As of version 3.1, this method is deprecated, and will be
removed in version 4.0. This decision follows the discussion reported in
MATH-803.
Uses of this method involving sparse implementations of
RealVector might lead to wrong results. Since there is no
satisfactory correction to this bug, this method is deprecated. Users who
want to preserve this feature are advised to implement
RealVectorPreservingVisitor (possibly ignoring corner cases for
the sake of efficiency).
- ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Element-by-element division.
- ebeDivide(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element
division of the first argument by the second.
- ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element multiplication.
- ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element multiplication.
- ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Element-by-element multiplication.
- ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Element-by-element multiplication.
- ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Element-by-element multiplication.
- ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Deprecated.
As of version 3.1, this method is deprecated, and will be
removed in version 4.0. This decision follows the discussion reported in
MATH-803.
Uses of this method involving sparse implementations of
RealVector might lead to wrong results. Since there is no
satisfactory correction to this bug, this method is deprecated. Users who
want to preserve this feature are advised to implement
RealVectorPreservingVisitor (possibly ignoring corner cases for
the sake of efficiency).
- ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Element-by-element multiplication.
- ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element
multiplication of the arguments.
- ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element
subtraction of the second argument from the first.
- eDA - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Stored data values
- efode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Expandable first order differential equation.
- EigenDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the eigen decomposition of a real matrix.
- EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Calculates the eigen decomposition of the given real matrix.
- EigenDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Deprecated.
in 3.1 (to be removed in 4.0) due to unused parameter
- EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Calculates the eigen decomposition of the symmetric tridiagonal
matrix.
- EigenDecomposition(double[], double[], double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Deprecated.
in 3.1 (to be removed in 4.0) due to unused parameter
- EigenDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- EigenDecomposition.Solver(double[], double[], ArrayRealVector[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Builds a solver from decomposed matrix.
- eigenvectors - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Eigenvectors.
- eigenvectors - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Eigenvectors.
- EIGHTHS - Static variable in class org.apache.commons.math3.util.FastMath
-
Eighths.
- element - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Element contained in the current node.
- elitismRate - Variable in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
percentage of chromosomes copied to the next generation
- ElitisticListPopulation - Class in org.apache.commons.math3.genetics
-
Population of chromosomes which uses elitism (certain percentage of the best
chromosomes is directly copied to the next generation).
- ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
-
- ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
-
- EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the common part of all embedded Runge-Kutta
integrators for Ordinary Differential Equations.
- EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Build a Runge-Kutta integrator with the given Butcher array.
- EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Build a Runge-Kutta integrator with the given Butcher array.
- Embedding<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface defines mappers between a space and one of its sub-spaces.
- EmpiricalDistribution - Class in org.apache.commons.math3.random
-
Represents an
empirical probability distribution -- a probability distribution derived
from observed data without making any assumptions about the functional form
of the population distribution that the data come from.
- EmpiricalDistribution() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with the default bin count.
- EmpiricalDistribution(int) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with the specified bin count.
- EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with the specified bin count using the
provided
RandomGenerator as the source of random data.
- EmpiricalDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with default bin count using the
provided
RandomGenerator as the source of random data.
- EmpiricalDistribution(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
- EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
- EmpiricalDistribution(int, RandomDataGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
- empiricalDistribution - Variable in class org.apache.commons.math3.random.ValueServer
-
Empirical probability distribution for use with DIGEST_MODE.
- EmpiricalDistribution.ArrayDataAdapter - Class in org.apache.commons.math3.random
-
DataAdapter for data provided as array of doubles.
- EmpiricalDistribution.ArrayDataAdapter(double[]) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Construct an ArrayDataAdapter from a double[] array
- EmpiricalDistribution.DataAdapter - Class in org.apache.commons.math3.random
-
Provides methods for computing sampleStats and
beanStats abstracting the source of data.
- EmpiricalDistribution.DataAdapter() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
-
- EmpiricalDistribution.StreamDataAdapter - Class in org.apache.commons.math3.random
-
DataAdapter for data provided through some input stream
- EmpiricalDistribution.StreamDataAdapter(BufferedReader) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Create a StreamDataAdapter from a BufferedReader
- emptyStrategy - Variable in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Selected strategy for empty clusters.
- encode(int) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Encode the T-uple with a given offset.
- encoding - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Ordering encoding of the double components.
- end - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
End point of the segments.
- end - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
End vertex.
- end - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
End point of the segments.
- end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
-
End visiting a vector.
- end() - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
-
End visiting a vector.
- end() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
End visiting the Nordsieck vector.
- endTime - Variable in class org.apache.commons.math3.genetics.FixedElapsedTime
-
The predetermined termination time (stopping condition).
- ensureDataConformance(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Ensures that the provided arrays fulfills the assumptions.
- ensureDataConformance(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Ensures that the provided arrays fulfills the assumptions.
- entries - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Storage for (sparse) matrix elements.
- entries - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Entries of the vector.
- entries - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Storage for (sparse) matrix elements.
- entries - Variable in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Entries of the vector.
- entropy(long[][]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
- entropy(long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
- entrySetIterator() - Method in class org.apache.commons.math3.stat.Frequency
-
Return an Iterator over the set of keys and values that have been added.
- EPS - Static variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Relative threshold for small singular values.
- eps - Variable in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Maximum radius of the neighborhood to be considered.
- EPS_MIN - Static variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Tolerance to avoid division by zero.
- EPS_MIN - Static variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
Tolerance to avoid division by zero.
- epsilon - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Convergence criterion for cumulative probability.
- EPSILON - Static variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Internally used epsilon criteria.
- epsilon - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Tolerance for having a value considered zero.
- epsilon - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Epsilon criteria taken from JAMA code (originally was 2^-52).
- epsilon - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Amount of error to accept for algorithm convergence.
- epsilon - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Amount of error to accept when checking for optimality.
- epsilon - Variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Amount of error to accept for algorithm convergence.
- epsilon - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Amount of error to accept when checking for optimality.
- epsilon - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
zero tolerance
- EPSILON - Static variable in class org.apache.commons.math3.util.Precision
-
Largest double-precision floating-point number such that
1 + EPSILON is numerically equal to 1.
- equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
- equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
Check if the instance represent the same key as another instance.
- equals(Object) - Method in class org.apache.commons.math3.complex.Complex
-
Test for the equality of two Complex objects.
- equals(Object) - Method in class org.apache.commons.math3.complex.Quaternion
- equals(Quaternion, double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Checks whether this instance is equal to another quaternion
within a given tolerance.
- equals(Object) - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is equal to x.
- equals(Object) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Test for the equality of two fractions.
- equals(Object) - Method in class org.apache.commons.math3.fraction.Fraction
-
Test for the equality of two fractions.
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Test for the equality of two 1D vectors.
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Test for the equality of two 3D vectors.
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Test for the equality of two 2D vectors.
- equals(Object) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
- equals(Object) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns true iff object is a
FieldMatrix instance with the same dimensions as this
and all corresponding matrix entries are equal.
- equals(Object) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns true iff object is a
RealMatrix instance with the same dimensions as this
and all corresponding matrix entries are equal.
- equals(Object) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Test for the equality of two vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Test for the equality of two real vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Test for the equality of two real vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.RealVector
-
Test for the equality of two real vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
- equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
- equals(Object) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
- equals(Object) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
- equals(Object) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
- equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Returns true iff object is an
AbstractStorelessUnivariateStatistic returning the same
values as this for getResult() and getN()
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
Returns true iff object is a
SummaryStatistics instance and all statistics have the
same values as this.
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns true iff object is a MultivariateSummaryStatistics
instance and all statistics have the same values as this.
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Returns true iff object is a
StatisticalSummaryValues instance and all statistics have
the same values as this.
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns true iff object is a
SummaryStatistics instance and all statistics have the
same values as this.
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns true iff object is a MultivariateSummaryStatistics
instance and all statistics have the same values as this.
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns true iff object is a
SummaryStatistics instance and all statistics have the
same values as this.
- equals(Object) - Method in class org.apache.commons.math3.stat.Frequency
- equals(Object) - Method in class org.apache.commons.math3.util.BigReal
- equals(Object) - Method in class org.apache.commons.math3.util.Decimal64
- equals(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
- equals(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
- equals(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
- equals(Object) - Method in class org.apache.commons.math3.util.Pair
-
Compare the specified object with this entry for equality.
- equals(float, float) - Static method in class org.apache.commons.math3.util.Precision
-
- equals(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are equal or within the range of allowed
error (inclusive).
- equals(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are equal or within the range of allowed
error (inclusive).
- equals(double, double) - Static method in class org.apache.commons.math3.util.Precision
-
- equals(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if there is no double value strictly between the
arguments or the difference between them is within the range of allowed
error (inclusive).
- equals(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are equal or within the range of allowed
error (inclusive).
- equals(Object) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns true iff object is a ResizableDoubleArray with the same properties
as this and an identical internal storage array.
- equals(Object) - Method in class org.apache.commons.math3.util.TransformerMap
- equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns true iff both arguments are null or have same dimensions and all
their elements are equal as defined by
this method.
- equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns
true iff both arguments are
null or have same
dimensions and all their elements are equal as defined by
this method.
- equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are NaN or neither is NaN and they are
equal as defined by
equals(x, y, 1).
- equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are NaN or are equal or within the range
of allowed error (inclusive).
- equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
-
- equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are NaN or neither is NaN and they are
equal as defined by
equals(x, y, 1).
- equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are NaN or are equal or within the range
of allowed error (inclusive).
- equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
- equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if there is no double value strictly between the
arguments or the reltaive difference between them is smaller or equal
to the given tolerance.
- equation - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
Secondary differential equation.
- equations - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
-
Underlying second order equations set.
- EquationsMapper - Class in org.apache.commons.math3.ode
-
Class mapping the part of a complete state or derivative that pertains
to a specific differential equation.
- EquationsMapper(int, int) - Constructor for class org.apache.commons.math3.ode.EquationsMapper
-
simple constructor.
- Erf - Class in org.apache.commons.math3.special
-
This is a utility class that provides computation methods related to the
error functions.
- Erf() - Constructor for class org.apache.commons.math3.special.Erf
-
Default constructor.
- erf(double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the error function.
- erf(double, double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the difference between erf(x1) and erf(x2).
- erfc(double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the complementary error function.
- ERR_SCALE - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The amount under/overflows are scaled by before going to trap handler
- errfac - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Error coefficients for the interpolation.
- errorCovariance - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The error covariance matrix, equivalent to P.
- eSplit - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp array with value e split in two pieces.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Compute the error ratio.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Compute the error ratio.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Compute the error ratio.
- estimateError(double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Estimate interpolation error.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Compute the error ratio.
- estimateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the variance of the error.
- estimateRegressandVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Returns the variance of the regressand, ie Var(y).
- estimateRegressandVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Returns the variance of the regressand, ie Var(y).
- estimateRegressionParameters() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the regression parameters b.
- estimateRegressionParameters() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Estimates the regression parameters b.
- estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Returns the standard errors of the regression parameters.
- estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Returns the standard errors of the regression parameters.
- estimateRegressionParametersVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the variance of the regression parameters, ie Var(b).
- estimateRegressionParametersVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Estimates the variance of the regression parameters, ie Var(b).
- estimateRegressionStandardError() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the standard error of the regression.
- estimateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the residuals, ie u = y - X*b.
- estimateResiduals() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Estimates the residuals, ie u = y - X*b.
- eString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of e.
- Euclidean1D - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class implements a one-dimensional space.
- Euclidean1D() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Private constructor for the singleton.
- Euclidean1D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.oned
-
Holder for the instance.
- Euclidean1D.LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.LazyHolder
-
- Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class implements a three-dimensional space.
- Euclidean2D() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Private constructor for the singleton.
- Euclidean2D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Holder for the instance.
- Euclidean2D.LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D.LazyHolder
-
- Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class implements a three-dimensional space.
- Euclidean3D() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Private constructor for the singleton.
- Euclidean3D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Holder for the instance.
- Euclidean3D.LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D.LazyHolder
-
- EuclideanDoublePoint - Class in org.apache.commons.math3.stat.clustering
-
A simple implementation of
Clusterable for points with double coordinates.
- EuclideanDoublePoint(double[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Build an instance wrapping an integer array.
- EuclideanIntegerPoint - Class in org.apache.commons.math3.stat.clustering
-
A simple implementation of
Clusterable for points with integer coordinates.
- EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Build an instance wrapping an integer array.
- EulerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a simple Euler integrator for Ordinary
Differential Equations.
- EulerIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Simple constructor.
- EulerStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a linear interpolator for step.
- EulerStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Simple constructor.
- EulerStepInterpolator(EulerStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Copy constructor.
- eval(UnivariateFunction, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- eval(UnivariateFunction, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- evaluate(DerivativeStructure, double, double[]) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Evaluate derivatives from a sample.
- evaluate(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Uses Horner's Method to evaluate the polynomial with the given coefficients at
the argument.
- evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
- evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Evaluate the Newton polynomial using nested multiplication.
- evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Evaluate all the non-evaluated points of the simplex.
- evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Evaluate all the non-evaluated points of the simplex.
- evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
- evaluate() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns the result of evaluating the statistic over the stored data.
- evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns the result of evaluating the statistic over the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns the result of evaluating the statistic over the specified entries
in the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the geometric mean of the entries in the specified portion
of the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns the kurtosis of the entries in the specified portion of the
input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the arithmetic mean of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the weighted arithmetic mean of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the weighted arithmetic mean of the entries in the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance of the designated values against the mean, using
instance properties varianceDirection and biasCorrection.
- evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
This method calculates
SemiVariance for the entire array against the mean, using
the current value of the biasCorrection instance property.
- evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance of the designated values against the cutoff, using
instance properties variancDirection and biasCorrection.
- evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance of the designated values against the cutoff in the
given direction, using the current value of the biasCorrection instance property.
- evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance of the designated values against the cutoff
in the given direction with the provided bias correction.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns the Skewness of the entries in the specifed portion of the
input array.
- evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the input array, or
Double.NaN if the array is empty.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the specified portion of
the input array, using the precomputed mean value.
- evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the input array, using
the precomputed mean value.
- evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the input array, or
Double.NaN if the array is empty.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the entries in the the input array.
- evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the specified portion of
the input array, using the precomputed mean value.
- evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the input array, using the
precomputed mean value.
- evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the entries in the specified portion of
the input array, using the precomputed weighted mean value.
- evaluate(double[], double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the values in the input array, using
the precomputed weighted mean value.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns the maximum of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns the minimum of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns the result of evaluating the statistic over the stored data.
- evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns an estimate of the pth percentile of the values
in the values array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns an estimate of the quantileth percentile of the
designated values in the values array.
- evaluate(double[], int, int, double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns an estimate of the pth percentile of the values
in the values array, starting with the element in (0-based)
position begin in the array and including length
values.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the product of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the weighted product of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the weighted product of the entries in the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The sum of the entries in the specified portion of
the input array, or 0 if the designated subarray
is empty.
- evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The weighted sum of the entries in the specified portion of
the input array, or 0 if the designated subarray
is empty.
- evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The weighted sum of the entries in the the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns the sum of the natural logs of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns the sum of the squares of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- evaluate(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
-
Returns the result of evaluating the statistic over the input array.
- evaluate(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
-
Returns the result of evaluating the statistic over the specified entries
in the input array.
- evaluate(double[], double[]) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
-
Returns the result of evaluating the statistic over the input array,
using the supplied weights.
- evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
-
Returns the result of evaluating the statistic over the specified entries
in the input array, using corresponding entries in the supplied weights array.
- evaluate(double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(double, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(double, double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(double[]) - Method in interface org.apache.commons.math3.util.MathArrays.Function
-
Operates on an entire array.
- evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function
-
- evaluateCompleteInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Lazy evaluation of complete interpolated state.
- evaluateInternal(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
- evaluateNewSimplex(MultivariateFunction, PointValuePair[], double, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Compute and evaluate a new simplex.
- evaluateNewSimplex(MultivariateFunction, PointValuePair[], double, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Compute and evaluate a new simplex.
- evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
-
Evaluate the impact of the proposed step on the event handler.
- evaluations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
The functions evaluation count.
- evaluations - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Counter for number of evaluations.
- evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
-
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Counter for function evaluations.
- evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
Counter for function evaluations.
- even - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Parity of the permutation associated with the LU decomposition.
- even - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Parity of the permutation associated with the LU decomposition.
- EventHandler - Interface in org.apache.commons.math3.ode.events
-
This interface represents a handler for discrete events triggered
during ODE integration.
- EventHandler.Action - Enum in org.apache.commons.math3.ode.events
-
Enumerate for actions to be performed when an event occurs.
- EventHandler.Action() - Constructor for enum org.apache.commons.math3.ode.events.EventHandler.Action
-
- eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Handle an event and choose what to do next.
- eventsStates - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Events states.
- EventState - Class in org.apache.commons.math3.ode.events
-
This class handles the state for one
event handler during integration steps.
- EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math3.ode.events.EventState
-
Simple constructor.
- EventState.LocalMaxCountExceededException - Exception in org.apache.commons.math3.ode.events
-
Local wrapper to propagate exceptions.
- EventState.LocalMaxCountExceededException(MaxCountExceededException) - Constructor for exception org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
-
Simple constructor.
- evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Evolve the given population.
- EXACT_STIRLING_ERRORS - Static variable in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
exact Stirling expansion error for certain values.
- exactK(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Calculates the exact value of
P(D_n < d) using method described
in [1] and
BigFraction (see
above).
- exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Returns the base-2 logarithm of the specified int.
- ExceptionContext - Class in org.apache.commons.math3.exception.util
-
Class that contains the actual implementation of the functionality mandated
by the
ExceptionContext interface.
- ExceptionContext(Throwable) - Constructor for class org.apache.commons.math3.exception.util.ExceptionContext
-
Simple constructor.
- ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util
-
Interface for accessing the context data structure stored in Commons Math
exceptions.
- exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Exponential.
- exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute exponential of a derivative structure.
- Exp - Class in org.apache.commons.math3.analysis.function
-
Exponential function.
- Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp
-
- exp() - Method in class org.apache.commons.math3.complex.Complex
-
- exp - Variable in class org.apache.commons.math3.dfp.Dfp
-
Exponent.
- exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes e to the given power.
- exp - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Stepsize control exponent.
- exp - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Stepsize control exponent.
- exp(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Exponential function.
- exp(double, double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Internal helper method for exponential function.
- EXP_FRAC_A - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential over the range of 0 - 1 in increments of 2^-10
exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_B - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential over the range of 0 - 1 in increments of 2^-10
exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath.ExpFracTable
-
Exponential over the range of 0 - 1 in increments of 2^-10
exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath.ExpFracTable
-
Exponential over the range of 0 - 1 in increments of 2^-10
exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
-
Exponential fractions table length.
- EXP_INT_A - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential evaluated at integer values,
exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX].
- EXP_INT_B - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential evaluated at integer values,
exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX]
- EXP_INT_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath.ExpIntTable
-
Exponential evaluated at integer values,
exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX].
- EXP_INT_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath.ExpIntTable
-
Exponential evaluated at integer values,
exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX]
- EXP_INT_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
-
Length of the array of integer exponentials.
- EXP_INT_TABLE_MAX_INDEX - Static variable in class org.apache.commons.math3.util.FastMath
-
Index of exp(0) in the array of integer exponentials.
- expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Expands the internal storage array using the expansion factor.
- expandable - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Differential equations to integrate.
- ExpandableStatefulODE - Class in org.apache.commons.math3.ode
-
This class represents a combined set of first order differential equations,
with at least a primary set of equations expandable by some sets of secondary
equations.
- ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Build an expandable set from its primary ODE set.
- ExpandableStatefulODE.SecondaryComponent - Class in org.apache.commons.math3.ode
-
Components of the compound stateful ODE.
- ExpandableStatefulODE.SecondaryComponent(SecondaryEquations, int) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
Simple constructor.
- expandCluster(Cluster<T>, T, List<T>, Collection<T>, Map<Clusterable<T>, DBSCANClusterer.PointStatus>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Expands the cluster to include density-reachable items.
- expandTo(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Expands the internal storage array to the specified size.
- expansionFactor - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The expansion factor of the array.
- expansionMode - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Determines whether array expansion by expansionFactor
is additive or multiplicative.
- expected - Variable in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Correct dimensions.
- expint(int, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Compute exp(p) for a integer p in extended precision.
- expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes e to the given power.
- expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Exponential minus 1.
- expm1(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute exp(x) - 1 of a derivative structure.
- Expm1 - Class in org.apache.commons.math3.analysis.function
-
ex-1 function.
- Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1
-
- expm1(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute exp(x) - 1
- expm1(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Internal helper method for expm1
- exponent - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Exponent parameter of the distribution.
- exponent(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Extract the exponent from the bits of a double.
- EXPONENT_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Exponent bits mask.
- EXPONENT_OFFSET - Static variable in class org.apache.commons.math3.util.Precision
-
Exponent offset in IEEE754 representation.
- exponential - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
- EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Exponential random deviates with mean = μ.
- EXPONENTIAL_SA_QI - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Used when generating Exponential samples.
- ExponentialDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the exponential distribution.
- ExponentialDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
-
Create an exponential distribution with the given mean.
- ExponentialDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
-
Create an exponential distribution with the given mean.
- ExponentialDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
-
Creates an exponential distribution.
- exShift - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
-
Indicates an exceptional shift.
- extend - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Number of extension points.
- extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Extract equation data from a complete state or derivative array.
- extractField(T[][]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the elements type from an array.
- extractField(T[]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the elements type from an array.
- extrapolate(int, int, double[][], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Extrapolate a vector.
- eye(int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- eye(int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- g(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Compute the value of the switching function.
- g(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
- g(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- g0 - Variable in class org.apache.commons.math3.ode.events.EventState
-
Value of the events handler at the beginning of the step.
- g0Positive - Variable in class org.apache.commons.math3.ode.events.EventState
-
Simulated sign of g0 (we cheat when crossing events).
- G_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
-
Singleton G-Test instance.
- gamma - Variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Internal Gamma distribution.
- gamma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Contraction coefficient.
- gamma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Contraction coefficient.
- gamma - Variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Contraction coefficient.
- gamma - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Contraction coefficient.
- Gamma - Class in org.apache.commons.math3.special
-
This is a utility class that provides computation methods related to the
Γ (Gamma) family of functions.
- Gamma() - Constructor for class org.apache.commons.math3.special.Gamma
-
Default constructor.
- GAMMA - Static variable in class org.apache.commons.math3.special.Gamma
-
- gamma(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the value of Γ(x).
- GammaDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Gamma distribution.
- GammaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
-
Creates a new gamma distribution with specified values of the shape and
scale parameters.
- GammaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
-
Creates a new gamma distribution with specified values of the shape and
scale parameters.
- GammaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
-
Creates a Gamma distribution.
- gammaZeta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of gamma[k] * zeta[k].
- Gaussian - Class in org.apache.commons.math3.analysis.function
-
- Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
-
Gaussian with given normalization factor, mean and standard deviation.
- Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
-
Normalized gaussian with given mean and standard deviation.
- Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
-
Normalized gaussian with zero mean and unit standard deviation.
- Gaussian.Parametric - Class in org.apache.commons.math3.analysis.function
-
Parametric function where the input array contains the parameters of
the Gaussian, ordered as follows:
Norm
Mean
Standard deviation
- Gaussian.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric
-
- GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Gaussian random deviates with mean = μ, std dev = σ.
- GaussianFitter - Class in org.apache.commons.math3.fitting
-
- GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter
-
Constructs an instance using the specified optimizer.
- GaussianFitter - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- GaussianFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter
-
Deprecated.
Constructs an instance using the specified optimizer.
- GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
-
Guesses the parameters
norm,
mean, and
sigma
of a
Gaussian.Parametric
based on the specified observed points.
- GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Constructs instance with the specified observed points.
- GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.
Guesses the parameters
norm,
mean, and
sigma
of a
Gaussian.Parametric
based on the specified observed points.
- GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Constructs instance with the specified observed points.
- GaussianRandomGenerator - Class in org.apache.commons.math3.random
-
This class is a gaussian normalized random generator for scalars.
- GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.GaussianRandomGenerator
-
Create a new generator.
- GaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
-
Class that implements the Gaussian rule for
integrating a weighted
function.
- GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Creates an integrator from the given points and weights.
- GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Creates an integrator from the given pair of points (first element of
the pair) and weights (second element of the pair.
- GaussIntegratorFactory - Class in org.apache.commons.math3.analysis.integration.gauss
-
- GaussIntegratorFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
- GaussNewtonOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
-
Gauss-Newton least-squares solver.
- GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
Simple constructor with default settings.
- GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
- GaussNewtonOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
- GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.
Simple constructor with default settings.
- GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
- GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.
- gbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of gbar[k].
- gcd(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Computes the greatest common divisor of the absolute value of two
numbers, using a modified version of the "binary gcd" method.
- gcd(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Gets the greatest common divisor of the absolute value of two numbers,
using the "binary gcd" method which avoids division and modulo
operations.
- gcdPositive(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Computes the greatest common divisor of two positive numbers
(this precondition is not checked and the result is undefined
if not fulfilled) using the "binary gcd" method which avoids division
and modulo operations.
- gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Computes a G (Log-Likelihood Ratio) two sample test statistic for
independence comparing frequency counts in
observed1 and observed2.
- gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- generalizedHarmonic(int, double) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Calculates the Nth generalized harmonic number.
- generate(int) - Method in interface org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.RecurrenceCoefficientsGenerator
-
Generate recurrence coefficients.
- generateStatistics - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Indicates whether statistic data is collected.
- generateStatistics - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Indicates whether statistic data is collected.
- generationsEvolved - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
- generator - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Underlying generator.
- generator - Variable in class org.apache.commons.math3.random.GaussianRandomGenerator
-
Underlying generator.
- generator - Variable in class org.apache.commons.math3.random.StableRandomGenerator
-
Underlying generator.
- generator - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Underlying scalar generator.
- generator - Variable in class org.apache.commons.math3.random.UniformRandomGenerator
-
Underlying generator.
- GeneticAlgorithm - Class in org.apache.commons.math3.genetics
-
Implementation of a genetic algorithm.
- GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Create a new genetic algorithm.
- geoMean - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
geoMean of values that have been added
- geoMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Geometric mean statistic implementation - can be reset by setter.
- geoMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Geometric mean statistic implementation - can be reset by setter.
- GEOMETRIC_MEAN - Static variable in class org.apache.commons.math3.stat.StatUtils
-
geometric mean
- GeometricMean - Class in org.apache.commons.math3.stat.descriptive.moment
-
- GeometricMean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Create a GeometricMean instance
- GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Copy constructor, creates a new GeometricMean identical
to the original
- GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Create a GeometricMean instance using the given SumOfLogs instance
- geometricMean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the geometric mean of the entries in the input array, or
Double.NaN if the array is empty.
- geometricMean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the geometric mean of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- geometricMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Geometric mean statistic implementation - can be reset by setter.
- get(int...) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
Get a matrix element.
- get(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Get the stored value associated with the given key
- get(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Get the stored value associated with the given key
- getA(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Access the n-th a coefficient of the continued fraction.
- getA1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Get the axis of the first rotation.
- getA2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Get the axis of the second rotation.
- getA3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Get the axis of the second rotation.
- getAbscissa(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the abscissa of a point with respect to the line.
- getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the actual absolute accuracy.
- getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the actual absolute accuracy.
- getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the absolute accuracy of the solver.
- getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the absolute accuracy of the solver.
- getAbsoluteAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Get the absolute accuracy.
- getAbsoluteThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
- getAbsoluteThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
- getAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the adjusted R-squared statistic, defined by the formula
- getAllDerivatives() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get all partial derivatives.
- getAlpha() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the first shape parameter, alpha.
- getAlpha() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
- getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the azimuth of the vector.
- getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the angle of the rotation.
- getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the angle of the line.
- getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the Cardan or Euler angles corresponding to the instance.
- getArgument() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the argument of this complex number.
- getArgument() - Method in exception org.apache.commons.math3.exception.MathIllegalNumberException
-
- getArity() - Method in class org.apache.commons.math3.genetics.TournamentSelection
-
Gets the arity (number of chromosomes drawn to the tournament).
- getArray() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
Get the underlying storage array.
- getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Provides direct access to the internal storage array.
- getArtificialVariableOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the offset of the first artificial variable.
- getArtificialVariableOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the offset of the first artificial variable.
- getAttribute() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the attribute associated with the instance.
- getAvailableLocales() - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Get the set of locales for which complex formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Get the set of locales for which complex formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Get the set of locales for which complex formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the set of locales for which point/vector formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the set of locales for which real vectors formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the set of locales for which real vectors formats are available.
- getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the normalized axis of the rotation.
- getB() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Returns the bi-diagonal matrix B of the transform.
- getB(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Access the n-th b coefficient of the continued fraction.
- getBarycenter() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the barycenter of the interval.
- getBarycenter() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the barycenter of the instance.
- getBarycenter() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the barycenter of the instance.
- getBasicRow(int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Checks whether the given column is basic.
- getBasicRow(int) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Checks whether the given column is basic.
- getBeta() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the second shape parameter, beta.
- getBeta() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
- getBinCount() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns the number of bins.
- getBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns a List of
SummaryStatistics instances containing
statistics describing the values in each of the bins.
- getBit(int, int) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Get a bit from the mantissa of a double.
- getBoundarySize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the size of the boundary.
- getBoundarySize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the size of the boundary.
- getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
-
- getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
-
- getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
-
Gets the initial step.
- getCapacity() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Gets the currently allocated size of the internal data structure used
for storing elements.
- getCell(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the cell to which a point belongs.
- getCenter() - Method in class org.apache.commons.math3.stat.clustering.Cluster
-
Get the point chosen to be the center of this cluster.
- getCenters() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns a copy of the centers array.
- getCheck() - Method in class org.apache.commons.math3.linear.ConjugateGradient
-
Returns true if positive-definiteness should be checked for both
matrix and preconditioner.
- getCheck() - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns true if symmetry of the matrix, and symmetry as well as
positive definiteness of the preconditioner should be checked.
- getChiSquare() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Get a Chi-Square-like value assuming the N residuals follow N
distinct normal distributions centered on 0 and whose variances are
the reciprocal of the weights.
- getChiSquare() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Get a Chi-Square-like value assuming the N residuals follow N
distinct normal distributions centered on 0 and whose variances are
the reciprocal of the weights.
- getChromosomeList() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the list of chromosomes.
- getChromosomes() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Returns an unmodifiable list of the chromosomes in this population.
- getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns a copy of the coefficients array.
- getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns a copy of the coefficients array.
- getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns a copy of the coefficients array.
- getCoefficients() - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
- getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Gets the coefficients of the constraint (left hand side).
- getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Gets the coefficients of the linear equation being optimized.
- getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Get the coefficients of the constraint (left hand side).
- getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Get the coefficients of the linear equation being optimized.
- getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in column number col as an array.
- getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given column index as an array.
- getColumn(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in column number col as an array.
- getColumn(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given column index as an array.
- getColumn(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in column number col as an array.
- getColumn() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
- getColumn() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
-
- getColumn(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given column index as an array.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Returns the dimension of the domain of this operator.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Returns the number of columns of this matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
Returns the dimension of the domain of this operator.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Returns the number of columns in the matrix.
- getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in column number column
as a column matrix.
- getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given column index as a column matrix.
- getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in column number column
as a column matrix.
- getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given column index as a column matrix.
- getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in column number column
as a column matrix.
- getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given column index as a column matrix.
- getColumnSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format separator between components.
- getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the entries in column number column
as a vector.
- getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given column index as a vector.
- getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the entries in column number column
as a vector.
- getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given column index as a vector.
- getColumnVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the entries in column number column
as a vector.
- getColumnVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given column index as a vector.
- getCompiler(int, int) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the compiler for number of free parameters and order.
- getComplement(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Get the complement of the region (exchanged interior/exterior).
- getCompleteState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the complete current state.
- getComponents() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Gets the distributions that make up the mixture model.
- getComponents() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Get the components array.
- getConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Return the condition number of the matrix.
- getConjugate() - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the conjugate quaternion of the instance.
- getConstantTerm() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Gets the constant of the linear equation being optimized.
- getConstantTerm() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Get the constant of the linear equation being optimized.
- getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearConstraintSet
-
Gets the set of linear constraints.
- getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
- getConstraints() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- getConstraintTypeCounts(Relationship) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get a count of constraints corresponding to a specified relationship.
- getConstraintTypeCounts(Relationship) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get a count of constraints corresponding to a specified relationship.
- getContext() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
-
Gets a reference to the "rich context" data structure that allows to
customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
-
Gets a reference to the "rich context" data structure that allows to
customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
-
Gets a reference to the "rich context" data structure that allows to
customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
-
Gets a reference to the "rich context" data structure that allows to
customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Gets a reference to the "rich context" data structure that allows to
customize error messages and store key, value pairs in exceptions.
- getContext() - Method in interface org.apache.commons.math3.exception.util.ExceptionContextProvider
-
Gets a reference to the "rich context" data structure that allows to
customize error messages and store key, value pairs in exceptions.
- getContractionCriteria() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- getContractionCriterion() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
The contraction criterion defines when the internal array will contract
to store only the number of elements in the element array.
- getControlMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the control matrix.
- getControlMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the control matrix.
- getConvergence() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the convergence threshold for event localization.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Get the convergence checker.
- getConvergenceChecker() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
-
Deprecated.
Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Get the convergence checker.
- getConvertedMatrix() - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Get the converted matrix.
- getConvertedMatrix() - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Get the converted matrix.
- getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Returns the correlation matrix
- getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Calculate the Spearman Rank Correlation Matrix.
- getCorrelationPValues() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Returns a matrix of p-values associated with the (two-sided) null
hypothesis that the corresponding correlation coefficient is zero.
- getCorrelationStandardErrors() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Returns a matrix of standard errors associated with the estimates
in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j) is the standard
error associated with getCorrelationMatrix.getEntry(i,j)
- getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values = v.
- getCount(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values = v.
- getCount(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values = v.
- getCount(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values = v.
- getCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Gets the current count.
- getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Convert to unidimensional counter.
- getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Get the current unidimensional counter slot.
- getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Get the current count in the selected dimension.
- getCounts(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Convert to multidimensional counter.
- getCounts() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Get the current multidimensional counter slots.
- getCovariance(double) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the n × n covariance matrix.
- getCovariance(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Get the covariance for an individual element of the covariance matrix.
- getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the covariance matrix of the values that have been added.
- getCovariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns the covariance of the available values.
- getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the covariance matrix of the values that have been added.
- getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Returns the covariance matrix
- getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Returns the covariance matrix
- getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the covariance between regression parameters i and j.
- getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Gets the covariance matrix.
- getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
-
- getCrossoverPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the crossover policy.
- getCrossoverRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the crossover rate.
- getCumFreq(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumFreq(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumFreq(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumFreq(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v
(as a proportion between 0 and 1).
- getCumPct(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v
(as a proportion between 0 and 1).
- getCumPct(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v
(as a proportion between 0 and 1).
- getCumPct(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v
(as a proportion between 0 and 1).
- getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Get the current value of the Jacobian matrix with respect to state.
- getCurrentParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Get the current value of the Jacobian matrix with respect to one parameter.
- getCurrentSignedStepsize() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the current signed value of the integration stepsize.
- getCurrentSignedStepsize() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the current signed value of the integration stepsize.
- getCurrentStepStart() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the current value of the step start time ti.
- getCurrentStepStart() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Get the current value of the step start time ti.
- getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the current value of the step start time ti.
- getCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the current soft grid point time.
- getCurrentTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the current grid point time.
- getCut() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the cut sub-hyperplane.
- getD() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the block diagonal matrix D of the decomposition.
- getData() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns vector entries as a T array.
- getData() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in interface org.apache.commons.math3.linear.FieldVector
-
- getData() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
- getData() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the tableau data.
- getData() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the tableau data.
- getData() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Return the covariance matrix as two-dimensional array.
- getData() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Get a copy of the stored data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Get a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Get a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Get a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Get a reference to the stored data array.
- getDecimalDigits() - Method in class org.apache.commons.math3.dfp.DfpDec
-
Get the number of decimal digits this class is going to represent.
- getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Create a default number format.
- getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Create a default number format.
- getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Create a default number format.
- getDefaultNumberFormat() - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Create a default number format.
- getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Create a default number format.
- getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Access the number of degrees of freedom.
- getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Access the degrees of freedom.
- getDelegate() - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
To be removed in 4.0.
- getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the elevation of the vector.
- getDenominator() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the denominator as a BigInteger.
- getDenominator() - Method in class org.apache.commons.math3.fraction.Fraction
-
Access the denominator.
- getDenominatorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the denominator as a int.
- getDenominatorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the denominator as a long.
- getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the denominator degrees of freedom.
- getDenominatorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Access the denominator format.
- getDeterminant() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Return the determinant of the matrix
- getDeterminant() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Computes the determinant of the matrix.
- getDeterminant() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Return the determinant of the matrix.
- getDeterminant() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Return the determinant of the matrix
- getDeviancePart(double, double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
A part of the deviance portion of the saddle point approximation.
- getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Gets the diagonal of the Hat matrix also known as the leverage matrix.
- getDimension() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Gets the number of random variables of the distribution.
- getDimension() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Gets the number of random variables of the distribution.
- getDimension() - Method in exception org.apache.commons.math3.exception.DimensionMismatchException
-
- getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Get the dimension of the space.
- getDimension() - Method in interface org.apache.commons.math3.geometry.Space
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the size of the vector.
- getDimension() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Get the dimension of the secondary state parameters.
- getDimension() - Method in class org.apache.commons.math3.ode.FirstOrderConverter
-
Get the dimension of the problem.
- getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
-
Get the dimension of the problem.
- getDimension() - Method in class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
-
Get the dimension of the secondary state parameters.
- getDimension() - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Get the dimension of the problem.
- getDimension() - Method in class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
-
Get the dimension of the problem.
- getDimension() - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get the dimension of the underlying FODE.
- getDimension() - Method in interface org.apache.commons.math3.ode.SecondaryEquations
-
Get the dimension of the secondary state parameters.
- getDimension() - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
-
Get the dimension of the problem.
- getDimension() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get simplex dimension.
- getDimension() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Get simplex dimension.
- getDimension() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the dimension of the data
- getDimension() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns the dimension of the data
- getDimension() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the dimension of the data
- getDimension() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Get the number of dimensions of the multidimensional counter.
- getDimensionSizes() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
Get the size in all dimensions.
- getDirection() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
- getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the normalized direction vector.
- getDirection() - Method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Returns the value of this Direction.
- getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Distance between two vectors.
- getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Optimized method to compute distance.
- getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Distance between two vectors.
- getDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Distance between two vectors.
- getDomain(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Return the domain for the given hypergeometric distribution parameters.
- getE() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant e.
- getEigenvector(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a copy of the ith eigenvector of the original matrix.
- getElement() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Get the contained element.
- getElement(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Gets the element at index (i, j) from the covariance matrix
- getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the element at the specified index
- getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the element at the specified index
- getElement(int) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Returns the element at the specified index.
- getElement(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns the element at the specified index
- getElements() - Method in interface org.apache.commons.math3.util.DoubleArray
-
Returns a double[] array containing the elements of this
DoubleArray.
- getElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns a double array containing the elements of this
ResizableArray.
- getElitismRate() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Access the elitism rate.
- getEmpiricalDistribution() - Method in class org.apache.commons.math3.random.ValueServer
-
- getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Get the end point of the segment.
- getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get end vertex.
- getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Get the end point of the segment.
- getEntries() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Get the entries of this instance.
- getEntries() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Get the entries of this instance.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Get the entry in the specified row and column.
- getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns the entry in the specified index.
- getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Return the entry at the specified index.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Returns the entry in the specified index.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Get the entry in the specified row and column.
- getEntry(int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Return the entry at the specified index.
- getEntry(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entry in the specified row and column.
- getEntry(int) - Method in class org.apache.commons.math3.linear.RealVector
-
Return the entry at the specified index.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Returns the entry in the specified row and column.
- getEntry(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Returns the entry in the specified index.
- getEntry(int, int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get an entry of the tableau.
- getEntry(int, int) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get an entry of the tableau.
- getEps() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Returns the maximum radius of the neighborhood to be considered.
- getErrorCovariance() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the current error covariance matrix.
- getErrorCovarianceMatrix() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns a copy of the current error covariance matrix.
- getErrorSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
- getESplit() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant e split in two pieces.
- getEvaluations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the number of function evaluations of the last run of the integrator.
- getEvaluations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the number of function evaluations of the last run of the integrator.
- getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the number of evaluations of the objective function.
- getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the number of evaluations of the differential equations function.
- getEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the number of evaluations of the differential equations function.
- getEvaluations() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Gets the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Gets the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Get the number of evaluations of the objective function.
- getEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
-
Deprecated.
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Get the number of evaluations of the objective function.
- getEventHandler() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the underlying event handler.
- getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get all the event handlers that have been added to the integrator.
- getEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get all the event handlers that have been added to the integrator.
- getEventTime() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the occurrence time of the event triggered in the current step.
- getException() - Method in exception org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
-
Get the wrapped exception.
- getExpansionFactor() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.
As of 3.1. Return type will be changed to "double" in 4.0.
- getExpansionMode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- getExpectedColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
- getExpectedDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
- getExpectedDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
- getExpectedRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
- getExponent() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Return the exponent of the instance value, removing the bias.
- getExponent() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Get the exponent characterizing the distribution.
- getExponent(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Return the exponent of a double number, removing the bias.
- getExponent(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Return the exponent of a float number, removing the bias.
- getExponentTerm(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Computes the term used in the exponent (see definition of the distribution).
- getFarthestPoint(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Get the point farthest to its cluster center
- getFHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
-
Get the value at the higher end of the interval.
- getFHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getField() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the
Field to which the instance belongs.
- getField() - Method in class org.apache.commons.math3.complex.Complex
-
Get the
Field to which the instance belongs.
- getField() - Method in class org.apache.commons.math3.dfp.Dfp
-
- getField() - Method in interface org.apache.commons.math3.FieldElement
-
Get the
Field to which the instance belongs.
- getField() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Get the
Field to which the instance belongs.
- getField() - Method in class org.apache.commons.math3.fraction.Fraction
-
Get the
Field to which the instance belongs.
- getField() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the type of field elements of the matrix.
- getField() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Get the type of field elements of the vector.
- getField() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the type of field elements of the matrix.
- getField() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Get the type of field elements of the vector.
- getField() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Get the type of field elements of the vector.
- getField() - Method in class org.apache.commons.math3.util.BigReal
-
Get the
Field to which the instance belongs.
- getField() - Method in class org.apache.commons.math3.util.Decimal64
-
Get the
Field to which the instance belongs.
- getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the final integration time.
- getFirst() - Method in class org.apache.commons.math3.genetics.ChromosomePair
-
Access the first chromosome.
- getFirst() - Method in class org.apache.commons.math3.util.Pair
-
Get the first element of the pair.
- getFirstIndex() - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Get the index of the first equation element in complete state arrays.
- getFitness() - Method in class org.apache.commons.math3.genetics.Chromosome
-
Access the fitness of this chromosome.
- getFittestChromosome() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the fittest chromosome in this population.
- getFittestChromosome() - Method in interface org.apache.commons.math3.genetics.Population
-
Access the fittest chromosome in this population.
- getFLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
-
Get the value at the lower end of the interval.
- getFLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getFormat() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the components format.
- getFormat() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the components format.
- getFormat() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the components format.
- getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the number of free parameters.
- getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the number of free parameters.
- getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
- getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
- getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
- getFunction() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
- getFunction() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the function value accuracy of the solver.
- getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the function value accuracy of the solver.
- getFunctionValueAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Get the function accuracy.
- getGenerationsEvolved() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the number of generations evolved to reach
StoppingCondition in the last run.
- getGenerator() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Get the underlying normalized components generator.
- getGeneratorUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns a fresh copy of the array of upper bounds of the subintervals
of [0,1] used in generating data from the empirical distribution.
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the geometric mean of all the aggregated data.
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getGeometricMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
geometric mean of the ith entries of the arrays
that correspond to each multivariate sample
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the geometric mean of the values that have been added.
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the geometric mean of the values that have been added.
- getGeometricMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured geometric mean implementation.
- getGlobalCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the current global grid point time.
- getGlobalPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the previous global grid point time.
- getGoalType() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
- getGoalType() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
- getGoalType() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getGoalType() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- getGoalType() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getH() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Returns the Hessenberg matrix H of the transform.
- getH() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the Householder reflector vectors.
- getHeight() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the height of the tableau.
- getHeight() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the height of the tableau.
- getHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
-
Get the higher end of the interval.
- getHi() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
-
- getHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Get the Householder vectors of the transform.
- getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Get the Householder vectors of the transform.
- getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Get the Householder vectors of the transform.
- getHP() - Method in class org.apache.commons.math3.ode.ParameterConfiguration
-
Get parameter step.
- getHyperplane() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Get the underlying hyperplane.
- getHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Get the underlying hyperplane.
- getIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the IEEE 854 status flags.
- getImagEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the imaginary part of the ith eigenvalue of the original
matrix.
- getImagEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a copy of the imaginary parts of the eigenvalues of the original
matrix.
- getImaginary() - Method in class org.apache.commons.math3.complex.Complex
-
Access the imaginary part.
- getImaginary(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Get the imaginary part of the k-th n-th root of unity.
- getImaginaryCharacter() - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Access the imaginaryCharacter.
- getImaginaryFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Access the imaginaryFormat.
- getImproperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the current locale.
- getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the given locale.
- getImproperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the current locale.
- getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the given locale.
- getIncoming() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get incoming edge.
- getIndex() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Get the index of the wrong value.
- getIndex() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Deprecated.
Get the index of the entry.
- getIndex() - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Get the index of the entry.
- getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the lower bound of the interval.
- getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the lowest value belonging to the instance.
- getInitialErrorCovariance() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the initial error covariance matrix.
- getInitialErrorCovariance() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the initial error covariance matrix.
- getInitialGuess() - Method in class org.apache.commons.math3.optim.InitialGuess
-
Gets the initial guess.
- getInitialGuess() - Method in class org.apache.commons.math3.optimization.InitialGuess
-
Deprecated.
Gets the initial guess.
- getInitialStateEstimate() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the initial state estimation vector.
- getInitialStateEstimate() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the initial state estimation vector.
- getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the initial integration time.
- getInstance() - Static method in class org.apache.commons.math3.complex.ComplexField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Returns the default complex format for the current locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Returns the default complex format for the given locale.
- getInstance(String, Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Returns the default complex format for the given locale.
- getInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.fraction.FractionField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Returns the default 1D vector format for the current locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Returns the default 1D vector format for the given locale.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Returns the default 3D vector format for the current locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Returns the default 3D vector format for the given locale.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Returns the default 2D vector format for the current locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Returns the default 2D vector format for the given locale.
- getInstance() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Returns the default real vector format for the current locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Returns the default real vector format for the given locale.
- getInstance() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
-
Returns the default real vector format for the current locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealVectorFormat
-
Returns the default real vector format for the given locale.
- getInstance(int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Get the Nordsieck transformer for a given number of steps.
- getInstance() - Static method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Get the only instance.
- getInstance() - Static method in class org.apache.commons.math3.util.BigRealField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.util.Decimal64Field
-
Returns the unique instance of this class.
- getIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
- getIntercept(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the intercept of the estimated regression line, given the slope.
- getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
- getInternalLength() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the derivatives of the state vector of the interpolated point.
- getInterpolatedDerivatives() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the derivatives of the state vector of the interpolated point.
- getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the interpolated secondary derivatives corresponding to the secondary equations.
- getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the interpolated secondary derivatives corresponding to the secondary equations.
- getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the interpolated secondary state corresponding to the secondary equations.
- getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the interpolated secondary state corresponding to the secondary equations.
- getInterpolatedState() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the state vector of the interpolated point.
- getInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the state vector of the interpolated point.
- getInterpolatedState() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the state vector of the interpolated point.
- getInterpolatedStateVariation() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Get the state vector variation from current to interpolated state.
- getInterpolatedTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the time of the interpolated point.
- getInterpolatedTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the time of the interpolated point.
- getInterpolatedTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the time of the interpolated point.
- getInterpolatingPoints() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns a copy of the interpolating points array.
- getInterpolatingValues() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns a copy of the interpolating values array.
- getInterpolationPointsForY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Gets the two bounding interpolation points from the specified points
suitable for determining X at the specified Y.
- getInterpolationPointsForY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Gets the two bounding interpolation points from the specified points
suitable for determining X at the specified Y.
- getInverse() - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the inverse of this instance.
- getInverse() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Get the inverse of the decomposed matrix.
- getInverse() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Get the pseudo-inverse of the decomposed matrix.
- getInverseConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Computes the inverse of the condition number.
- getInvertedCoefficientSum(RealVector) - Static method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the -1 times the sum of all coefficients in the given array.
- getInvertedCoefficientSum(RealVector) - Static method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the -1 times the sum of all coefficients in the given array.
- getIterationManager() - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns the iteration manager attached to this solver.
- getIterations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the number of iterations of the last run of the integrator.
- getIterations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the number of iterations of the last run of the integrator.
- getIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the number of iterations performed by the algorithm.
- getIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Get the number of iterations realized by the algorithm.
- getIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
-
Deprecated.
Get the number of iterations realized by the algorithm.
- getIterations() - Method in class org.apache.commons.math3.util.IterationEvent
-
Returns the number of iterations performed at the time this event
is created.
- getIterations() - Method in class org.apache.commons.math3.util.IterationManager
-
Returns the number of iterations of this solver, 0 if no iterations has
been performed yet.
- getJacobianEvaluations() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
- getK() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
-
- getKernel(SummaryStatistics) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The within-bin smoothing kernel.
- getKey() - Method in class org.apache.commons.math3.util.Pair
-
Get the key.
- getKeys() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets all the keys stored in the exception
- getKnots() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get an array copy of the knot points.
- getKurtosis() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the Kurtosis of the available values.
- getKurtosisImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured kurtosis implementation.
- getL() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Returns the matrix L of the decomposition.
- getL() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the matrix L of the decomposition.
- getL() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the matrix L of the decomposition.
- getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Distance between two vectors.
- getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Distance between two vectors.
- getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Distance between two vectors.
- getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Distance between two vectors.
- getL1Norm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the L1 norm of the vector.
- getL1Norm() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the L1 norm of the vector.
- getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Get the node whose element is the largest one in the tree.
- getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Get the node whose element is the largest one in the tree
rooted at this node.
- getLength() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Returns the length of the chromosome.
- getLength() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
- getLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Get the line containing the segment.
- getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get the line supporting this edge.
- getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Get the line containing the segment.
- getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Distance between two vectors.
- getLInfDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Optimized method to compute LInfDistance.
- getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Distance between two vectors.
- getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Distance between two vectors.
- getLInfNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the L∞ norm of the vector.
- getLInfNorm() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the L∞ norm of the vector.
- getLn10() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(10).
- getLn2() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(2).
- getLn2Split() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(2) split in two pieces.
- getLn5() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(5).
- getLn5Split() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(5) split in two pieces.
- getLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
-
Get the lower end of the interval.
- getLo() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
-
- getLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
- getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
- getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
- getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
- getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
- getLocalizedMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the message in the default locale.
- getLocalizedString(Locale) - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Gets the localized string.
- getLocalizedString(Locale) - Method in interface org.apache.commons.math3.exception.util.Localizable
-
Gets the localized string.
- getLocalizedString(Locale) - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Gets the localized string.
- getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Get the hyperplane location on the real line.
- getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get Vertex location.
- getLower() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
- getLower() - Method in class org.apache.commons.math3.optim.SimpleBounds
-
Gets the lower bounds.
- getLower() - Method in class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.
Gets the lower bounds.
- getLowerBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
- getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
-
Deprecated.
- getLowerDomain(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Return the lowest domain value for the given hypergeometric distribution
parameters.
- getLT() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Returns the transpose of the matrix L of the decomposition.
- getMainDiagonalRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Get the main diagonal elements of the matrix B of the transform.
- getMainDiagonalRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Get the main diagonal elements of the matrix T of the transform.
- getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the 3X3 matrix corresponding to the instance
- getMax() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
- getMax() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
- getMax() - Method in exception org.apache.commons.math3.exception.MaxCountExceededException
-
- getMax() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
-
- getMax() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Gets the upper bound.
- getMax() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
- getMax() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the maximum of the available values
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the maximum of the available values
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
maximum of the ith entries of the arrays
that correspond to each multivariate sample
- getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the maximum of the available values
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the maximum of the values that have been added.
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the maximum of the values that have been added.
- getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the maximal time interval between events handler checks.
- getMaxEval() - Method in class org.apache.commons.math3.optim.MaxEval
-
Gets the maximum number of evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the maximum number of function evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the maximum number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the maximal number of functions evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the maximal number of functions evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
-
Deprecated.
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Get the maximal number of function evaluations.
- getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the maximal growth factor for stepsize control.
- getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the maximal growth factor for stepsize control.
- getMaximalCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Gets the upper limit of the counter.
- getMaximalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the upper limit for the number of iterations.
- getMaximalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the upper limit for the number of iterations.
- getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Get the maximal order.
- getMaximalOrder() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Get the maximal order.
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured maximum implementation.
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxIndex() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the index of the maximum entry.
- getMaxIter() - Method in class org.apache.commons.math3.optim.MaxIter
-
Gets the maximum number of evaluations.
- getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the upper limit in the iteration count for event localization.
- getMaxIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the maximal number of iterations.
- getMaxIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Get the maximal number of iterations of the algorithm.
- getMaxIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
-
Deprecated.
Get the maximal number of iterations of the algorithm.
- getMaxIterations() - Method in class org.apache.commons.math3.util.IterationManager
-
Returns the maximum number of iterations.
- getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Get the maximal step.
- getMaxValue() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the value of the maximum entry.
- getMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Access the mean.
- getMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the mean.
- getMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Get the mean for the distribution.
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
mean of the ith entries of the arrays
that correspond to each multivariate sample
- getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the mean of the values that have been added.
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the mean of the values that have been added.
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured mean implementation.
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured mean implementation
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured mean implementation
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured mean implementation
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured mean implementation
- getMeans() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Gets the mean vector.
- getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the sum of squared errors divided by the degrees of freedom,
usually abbreviated MSE.
- getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared errors divided by the degrees of freedom,
usually abbreviated MSE.
- getMeasurementDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the dimension of the measurement vector.
- getMeasurementMatrix() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
Returns the measurement matrix.
- getMeasurementMatrix() - Method in interface org.apache.commons.math3.filter.MeasurementModel
-
Returns the measurement matrix.
- getMeasurementNoise() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
Returns the measurement noise matrix.
- getMeasurementNoise() - Method in interface org.apache.commons.math3.filter.MeasurementModel
-
Returns the measurement noise matrix.
- getMedian() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the median.
- getMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
- getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
- getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
- getMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
- getMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
- getMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the default message.
- getMessage(Locale) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the message in a specified locale.
- getMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the message in a specified locale.
- getMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getMidPoint() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
- getMin() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
- getMin() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
- getMin() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
-
- getMin() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Gets the lower bound.
- getMin() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
- getMin() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the minimum of the available values
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the minimum of the available values
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
minimum of the ith entries of the arrays
that correspond to each multivariate sample
- getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the minimum of the available values
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the minimum of the values that have been added.
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the minimum of the values that have been added.
- getMinimalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the min limit for the number of iterations.
- getMinimalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the min limit for the number of iterations.
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured minimum implementation.
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured minimum implementation
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured minimum implementation
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured minimum implementation
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured minimum implementation
- getMinIndex() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the index of the minimum entry.
- getMinPts() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Returns the minimum number of points needed for a cluster.
- getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the minimal reduction factor for stepsize control.
- getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the minimal reduction factor for stepsize control.
- getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Get the minimal step.
- getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the tree on the minus side of the cut hyperplane.
- getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Get the part of the sub-hyperplane on the minus side of the splitting hyperplane.
- getMinValue() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the value of the minimum entry.
- getMode() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Returns the mode c of this distribution.
- getMode() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the data generation mode.
- getModelFunction() - Method in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
-
- getModelFunction() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
-
Gets the model function to be optimized.
- getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
-
- getModelFunctionJacobian() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
-
Gets the Jacobian of the model function to be optimized.
- getMu() - Method in class org.apache.commons.math3.random.ValueServer
-
- getMutationPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the mutation policy.
- getMutationRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the mutation rate.
- getN() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get the number of spline segments.
- getN() - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Returns the number of observations (length of covariate vectors)
- getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Returns the number of observations.
- getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
- getN() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Get the number of vectors in the sample.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Get the number of vectors in the sample.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns the number of values that have been added.
- getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns the number of available values
- getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
- getN() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Gets the number of observations added to the regression model.
- getN() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the number of observations added to the regression model.
- getN() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the number of observations that have been added to the model.
- getN() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Returns the number of observations added to the regression model.
- getName() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the name of the method.
- getName() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the name of the method.
- getName() - Method in exception org.apache.commons.math3.ode.UnknownParameterException
-
- getNanPositions(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Returns a list of indexes where ranks is NaN.
- getNanStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Return the NaNStrategy
- getNatural(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns an array representing n.
- getNbPoints() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Get the number of points to use.
- getNearestCluster(Collection<Cluster<T>>, T) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Returns the nearest
Cluster to the given point
- getNeighbors(T, Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Returns a list of density-reachable neighbors of a point.
- getNewtonCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns a copy of coefficients in Newton form formula.
- getNext() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Get the node containing the next larger or equal element.
- getNext() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the next generated value, generated according
to the mode value (see MODE constants).
- getNextDigest() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets a random value in DIGEST_MODE.
- getNextExponential() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets an exponentially distributed random value with mean = mu.
- getNextGaussian() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets a Gaussian distributed random value with mean = mu
and standard deviation = sigma.
- getNextReplay() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets next sequential value from the valuesFileURL.
- getNextUniform() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets a uniformly distributed random value with mean = mu.
- getNextValue() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Generates a random value from this distribution.
- getNode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get the node whose cut hyperplane contains this edge.
- getNorm() - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the norm of the quaternion.
- getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the L2 norm for the vector.
- getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the L2 norm for the vector.
- getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the L2 norm for the vector.
- getNorm() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the L2 norm for the vector.
- getNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
- getNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the L2 norm of the vector.
- getNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
- getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
- getNorm() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the L2 norm of the vector.
- getNorm() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Computes the L1 norm of the (quasi-)triangular matrix T.
- getNorm() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the L2 norm of the matrix.
- getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the L1 norm for the vector.
- getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the L1 norm for the vector.
- getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the L1 norm for the vector.
- getNorm1() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the L1 norm for the vector.
- getNormal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the normalized normal vector.
- getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the L∞ norm for the vector.
- getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the L∞ norm for the vector.
- getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the L∞ norm for the vector.
- getNormInf() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the L∞ norm for the vector.
- getNormOfResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the norm of the residual.
- getNormOfResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the norm of the residual.
- getNormOfResidual() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Returns the norm of the updated, preconditioned residual.
- getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the square of the norm for the vector.
- getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the square of the norm for the vector.
- getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the square of the norm for the vector.
- getNormSq() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the square of the norm for the vector.
- getNotLarger(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Get the node whose element is not larger than the reference object.
- getNotSmaller(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Get the node whose element is not smaller than the reference object.
- getNSteps() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Get the number of steps of the method
(excluding the one being computed).
- getNumArtificialVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of artificial variables.
- getNumArtificialVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the number of artificial variables.
- getNumberOfElements() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Get the number of elements (e.g.
- getNumberOfParameters() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the number of parameters estimated in the model.
- getNumberOfPoints() - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
- getNumberOfRoots() - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Returns the number of roots of unity currently stored.
- getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the number of successes.
- getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the number of successes for this distribution.
- getNumberOfTrials() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the number of trials for this distribution.
- getNumDecisionVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of decision variables.
- getNumDecisionVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the number of decision variables.
- getNumElements() - Method in interface org.apache.commons.math3.util.DoubleArray
-
Returns the number of elements currently in the array.
- getNumElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns the number of elements currently in the array.
- getNumerator() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the numerator as a BigInteger.
- getNumerator() - Method in class org.apache.commons.math3.fraction.Fraction
-
Access the numerator.
- getNumeratorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the numerator as a int.
- getNumeratorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the numerator as a long.
- getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the numerator degrees of freedom.
- getNumeratorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Access the numerator format.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumGenerations() - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Returns the number of generations that have already passed.
- getNumObjectiveFunctions() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of objective functions in this tableau.
- getNumObjectiveFunctions() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the number of objective functions in this tableau.
- getNumSlackVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of slack variables.
- getNumSlackVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the number of slack variables.
- getObjectiveFunction() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
-
Gets the function to be optimized.
- getObjectiveFunction() - Method in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
-
Gets the function to be optimized.
- getObjectiveFunction() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Gets the objective vector function.
- getObjectiveFunctionGradient() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
-
Gets the gradient of the function to be optimized.
- getObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Get the observed points.
- getObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.
Get the observed points.
- getOffset(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Get the offset (oriented distance) of a point.
- getOffset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the offset (oriented distance) of a parallel plane.
- getOffset(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the offset (oriented distance) of a point.
- getOffset(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the offset (oriented distance) of a parallel line.
- getOffset(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the offset (oriented distance) of a point.
- getOffset(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Get the offset (oriented distance) of a point.
- getOmegaInverse() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Get the inverse of the covariance.
- getOne() - Method in class org.apache.commons.math3.complex.ComplexField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the constant 1.
- getOne() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant 1.
- getOne() - Method in interface org.apache.commons.math3.Field
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.fraction.FractionField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.util.BigRealField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.util.Decimal64Field
-
Get the multiplicative identity of the field.
- getOptima() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Gets all the optima found during the last call to optimize.
- getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Gets all the optima found during the last call to optimize.
- getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Gets all the optima found during the last call to optimize.
- getOptima() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Gets all the optima found during the last call to optimize.
- getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Get all the optima found during the last call to
optimize.
- getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Get all the optima found during the last call to
optimize.
- getOptima() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Get all the optima found during the last call to
optimize.
- getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the derivation order.
- getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the derivation order.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Get the order of the method.
- getOrderOfRegressors() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Gets the order of the regressors, useful if some type of reordering
has been called.
- getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the line point closest to the origin.
- getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the origin point of the plane frame.
- getOriginalNumDecisionVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the original number of decision variables.
- getOriginalNumDecisionVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the original number of decision variables.
- getOriginOffset() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the offset of the origin.
- getOutgoing() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get outgoing edge.
- getOutline(PolyhedronsSet) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Extract the outline of a polyhedrons set.
- getP() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the P rows permutation matrix.
- getP() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Returns the matrix P of the transform.
- getP() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the P rows permutation matrix.
- getP() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Returns the matrix P of the transform.
- getPairComparator() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
- getPairComparator() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
- getParameter(String) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
-
Get parameter value from its name.
- getParameter(String) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get parameter value from its name.
- getParameterEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the parameter estimate for the regressor at the given index.
- getParameterEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns a copy of the regression parameters estimates.
- getParameterName() - Method in class org.apache.commons.math3.ode.ParameterConfiguration
-
Get parameter name.
- getParametersNames() - Method in class org.apache.commons.math3.ode.AbstractParameterizable
-
Get the names of the supported parameters.
- getParametersNames() - Method in interface org.apache.commons.math3.ode.Parameterizable
-
Get the names of the supported parameters.
- getParametersNames() - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get the names of the supported parameters.
- getParametersNames() - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Get the names of the supported parameters.
- getParent() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the parent node.
- getPartialCorrelations(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
In the original algorithm only the partial correlations of the regressors
is returned to the user.
- getPartialDerivative(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get a partial derivative.
- getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the index of a partial derivative in the array.
- getPartialDerivativeIndex(int, int, int[][], int...) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the index of a partial derivative in an array.
- getPartialDerivativeOrders(int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the derivation orders for a specific index in the array.
- getPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v
(as a proportion between 0 and 1).
- getPct(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v
(as a proportion between 0 and 1).
- getPct(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v
(as a proportion between 0 and 1).
- getPct(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v
(as a proportion between 0 and 1).
- getPercentile(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns an estimate for the pth percentile of the stored values.
- getPercentileImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured percentile implementation.
- getPi() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant π.
- getPiSplit() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant π split in two pieces.
- getPivot() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the pivot permutation vector.
- getPivot() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the pivot permutation vector.
- getPivotColumn(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Returns the column with the most negative coefficient in the objective function row.
- getPivotColumn(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Returns the column with the most negative coefficient in the objective function row.
- getPivotRow(SimplexTableau, int) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
- getPivotRow(SimplexTableau, int) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
- getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the tree on the plus side of the cut hyperplane.
- getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Get the part of the sub-hyperplane on the plus side of the splitting hyperplane.
- getPlusInside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Get the part of the node cut sub-hyperplane that belongs to the
boundary and has the inside of the region on the plus side of
its underlying hyperplane.
- getPlusOutside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Get the part of the node cut sub-hyperplane that belongs to the
boundary and has the outside of the region on the plus side of
its underlying hyperplane.
- getPoint(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get the simplex point stored at the requested index.
- getPoint() - Method in class org.apache.commons.math3.optim.PointValuePair
-
Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Get the point.
- getPoint(int) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Get the simplex point stored at the requested index.
- getPoint() - Method in class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.
Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.
Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.
Get the point.
- getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Get the n-dimensional point in integer space.
- getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Get the n-dimensional point in integer space.
- getPointAt(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get one point from the 3D-space.
- getPointAt(Vector1D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get one point from the plane.
- getPointFromLargestNumberCluster(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Get a random point from the
Cluster with the largest number of points
- getPointFromLargestVarianceCluster(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Get a random point from the
Cluster with the largest distance variance.
- getPointRef() - Method in class org.apache.commons.math3.optim.PointValuePair
-
Gets a reference to the point.
- getPointRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets a reference to the point.
- getPointRef() - Method in class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.
Gets a reference to the point.
- getPointRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.
Gets a reference to the point.
- getPoints() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get the points of the simplex.
- getPoints() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Get the points of the simplex.
- getPoints() - Method in class org.apache.commons.math3.stat.clustering.Cluster
-
Get the points contained in the cluster.
- getPolynomials() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Compute the interpolation polynomials.
- getPolynomials() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get a copy of the interpolating polynomials array.
- getPopulationLimit() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the maximum population size.
- getPopulationLimit() - Method in interface org.apache.commons.math3.genetics.Population
-
Access the maximum population size.
- getPopulationSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the population size.
- getPopulationSize() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the current population size.
- getPopulationSize() - Method in interface org.apache.commons.math3.genetics.Population
-
Access the current population size.
- getPopulationSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
-
- getPopulationSize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
-
Deprecated.
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
- getPosition() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Returns the original position of the pair.
- getPositivePolarForm() - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the polar form of the quaternion.
- getPrefix() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the format prefix.
- getPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format prefix.
- getPrefix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the format prefix.
- getPrevious() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
- getPrevious() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Get the node containing the next smaller or equal element.
- getPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the previous soft grid point time.
- getPreviousTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the previous grid point time.
- getPrimary() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the primary set of differential equations.
- getPrimaryMapper() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get an equations mapper for the primary equations set.
- getPrimaryState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get primary part of the current state.
- getPrimaryStateDot() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get primary part of the current state derivative.
- getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the probability of success for this distribution.
- getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the probability of success for this distribution.
- getProcessNoise() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the process noise matrix.
- getProcessNoise() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the process noise matrix.
- getProjected() - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Get the projection of the polyhedrons set on the plane.
- getProperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the current locale.
- getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the given locale.
- getProperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the current locale.
- getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the given locale.
- getPT() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Returns the transpose of the matrix P of the transform.
- getPT() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Returns the transpose of the matrix P of the transform.
- getQ() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the matrix Q of the decomposition.
- getQ() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Returns the matrix Q of the transform.
- getQ0() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the first component of the quaternion (scalar part).
- getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the scalar coordinate of the quaternion.
- getQ1() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the second component of the quaternion (first component
of the vector part).
- getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the first coordinate of the vectorial part of the quaternion.
- getQ2() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the third component of the quaternion (second component
of the vector part).
- getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the second coordinate of the vectorial part of the quaternion.
- getQ3() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the fourth component of the quaternion (third component
of the vector part).
- getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the third coordinate of the vectorial part of the quaternion.
- getQT() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the transpose of the matrix Q of the decomposition.
- getQT() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Returns the transpose of the matrix Q of the transform.
- getQuantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns the value of the quantile field (determines what percentile is
computed when evaluate() is called with no quantile argument).
- getR() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the matrix R of the decomposition.
- getR() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
- getRadixDigits() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the number of radix digits of the instance.
- getRadixDigits() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the number of radix digits of the
Dfp instances built by this factory.
- getRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns the RandomGenerator used to generate non-secure random data.
- getRandomGenerator() - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the (static) random generator.
- getRank() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Get the rank of the symmetric positive semidefinite matrix.
- getRank() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Return the effective numerical matrix rank.
- getRank() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Get the rank of the covariance matrix.
- getRankCorrelation() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
- getRatio() - Method in class org.apache.commons.math3.genetics.UniformCrossover
-
- getReal() - Method in class org.apache.commons.math3.complex.Complex
-
Access the real part.
- getReal(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Get the real part of the k-th n-th root of unity.
- getRealEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Returns the real part of the ith eigenvalue of the original
matrix.
- getRealEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a copy of the real parts of the eigenvalues of the original matrix.
- getRealFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Access the realFormat.
- getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.BigFraction
-
Creates a BigFraction instance with the 2 parts of a fraction
Y/Z.
- getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.Fraction
-
Creates a Fraction instance with the 2 parts
of a fraction Y/Z.
- getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the sum of squared deviations of the predicted y values about
their mean (which equals the mean of y).
- getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared deviations of the predicted y values about
their mean (which equals the mean of y).
- getRegressionSumSquares(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Computes SSR from b1.
- getRelationship() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Gets the relationship between left and right hand sides.
- getRelationship() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Get the relationship between left and right hand sides.
- getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the actual relative accuracy.
- getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the actual relative accuracy.
- getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the relative accuracy of the solver.
- getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the relative accuracy of the solver.
- getRelativeAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Get the relative accuracy.
- getRelativeThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
- getRelativeThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
- getRemA() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
-
- getRemainingRegion() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Get the remaining region of the hyperplane.
- getRemB() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
-
- getRepresentation() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Returns the (immutable) inner representation of the chromosome.
- getResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the residual.
- getResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the residual.
- getResult() - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Return the current covariance estimate.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns the value of the statistic based on the values that have been added.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Get the covariance matrix.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Get the mean vector.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns the current value of the Statistic.
- getResult() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns the current value of the Statistic.
- getResults(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array of the results of a statistic.
- getReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the reverse of the instance.
- getRhsOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the offset of the right hand side.
- getRhsOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the offset of the right hand side.
- getRightHandSideVector() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the current right-hand side of the linear system to be solved.
- getRightHandSideVector() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the current right-hand side of the linear system to be solved.
- getRMS() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Gets the root-mean-square (RMS) value.
- getRMS() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Get the Root Mean Square value.
- getRootMatrix() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Get the root of the covariance matrix.
- getRootMatrix() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Get the root of the covariance matrix.
- getRoundingMode() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the current rounding mode.
- getRoundingMode() - Method in class org.apache.commons.math3.util.BigReal
-
Gets the rounding mode for division operations
The default is RoundingMode.HALF_UP
- getRow(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in row number row as an array.
- getRow(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given row index.
- getRow(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in row number row as an array.
- getRow(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given row index.
- getRow(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in row number row as an array.
- getRow() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
- getRow() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
-
- getRow(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given row index.
- getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Returns the dimension of the codomain of this operator.
- getRowDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Returns the number of rows of this matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
Returns the dimension of the codomain of this operator.
- getRowDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Returns the number of rows in the matrix.
- getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in row number row
as a row matrix.
- getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given row index as a row matrix.
- getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in row number row
as a row matrix.
- getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given row index as a row matrix.
- getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in row number row
as a row matrix.
- getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given row index as a row matrix.
- getRowPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format prefix.
- getRowSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format separator between rows of the matrix.
- getRowSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format suffix.
- getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in row number row
as a vector.
- getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the entries in row number row as a vector.
- getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in row number row
as a vector.
- getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the entries in row number row as a vector.
- getRowVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in row number row
as a vector.
- getRowVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the entries in row number row as a vector.
- getRSquare() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
- getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
- getRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Gets a copy of the quadrature rule with the given number of integration
points.
- getRule(BaseRuleFactory<? extends Number>, int) - Static method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
- getRuleInternal(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Gets a rule.
- getRuntimeClass() - Method in class org.apache.commons.math3.complex.ComplexField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.dfp.DfpField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in interface org.apache.commons.math3.Field
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.fraction.FractionField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.util.BigRealField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.util.Decimal64Field
-
Returns the runtime class of the FieldElement.
- getS() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the diagonal matrix Σ of the decomposition.
- getSafety() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the safety factor for stepsize control.
- getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the safety factor for stepsize control.
- getSampleSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the sample size.
- getSampleStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
- getScalarPart() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the scalar part of the quaternion.
- getScale() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the scale parameter.
- getScale() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the scale parameter, beta.
- getScale() - Method in class org.apache.commons.math3.util.BigReal
-
Sets the scale for division operations.
- getSecond() - Method in class org.apache.commons.math3.genetics.ChromosomePair
-
Access the second chromosome.
- getSecond() - Method in class org.apache.commons.math3.util.Pair
-
Get the second element of the pair.
- getSecondaryDiagonalRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Get the secondary diagonal elements of the matrix B of the transform.
- getSecondaryDiagonalRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Get the secondary diagonal elements of the matrix T of the transform.
- getSecondaryMappers() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the equations mappers for the secondary equations sets.
- getSecondaryState(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get secondary part of the current state.
- getSecondaryStateDot(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get secondary part of the current state derivative.
- getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns a statistic related to the Second Central Moment.
- getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns a statistic related to the Second Central Moment.
- getSecRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns the SecureRandom used to generate secure random data.
- getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Get the endpoints of the sub-line.
- getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Get the endpoints of the sub-line.
- getSelectionPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the selection policy.
- getSeparator() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the format separator between components.
- getSeparator() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the format separator between components.
- getShape() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the shape parameter of this distribution.
- getShape() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the shape parameter of this distribution.
- getShape() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the shape parameter, alpha.
- getSigma() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
-
- getSigma() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
-
Deprecated.
- getSigma() - Method in class org.apache.commons.math3.random.ValueServer
-
- getSignificance() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the significance level of the slope (equiv) correlation.
- getSingularValues() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the diagonal elements of the matrix Σ of the decomposition.
- getSize() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the array size required for holding partial derivatives data.
- getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the size of the interval.
- getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Get the size of the boundary.
- getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the size of the instance.
- getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get simplex size.
- getSize() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Get simplex size.
- getSize() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Get the total number of elements.
- getSizes() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Get the number of multidimensional counter slots in each dimension.
- getSkewness() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the skewness of the available values.
- getSkewnessImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured skewness implementation.
- getSlackVariableOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the offset of the first slack variable.
- getSlackVariableOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the offset of the first slack variable.
- getSlope() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the slope of the estimated regression line.
- getSlopeConfidenceInterval() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the half-width of a 95% confidence interval for the slope
estimate.
- getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the half-width of a (100-100*alpha)% confidence interval for
the slope estimate.
- getSlopeStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
- getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Get the node whose element is the smallest one in the tree.
- getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Get the node whose element is the smallest one in the tree
rooted at this node.
- getSolution() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the current estimate of the solution to the linear system to be
solved.
- getSolution() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the current estimate of the solution to the linear system to be
solved.
- getSolution() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the current solution.
- getSolution() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the current solution.
- getSolver() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Get a solver for finding the A × X = B solution in least square sense.
- getSolver() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a solver for finding the A × X = B solution in exact
linear sense.
- getSolver() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Get a solver for finding the A × X = B solution in exact linear sense.
- getSolver() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Get a solver for finding the A × X = B solution in exact linear
sense.
- getSolver() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Get a solver for finding the A × X = B solution in least square sense.
- getSolver() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Get a solver for finding the A × X = B solution in least square sense.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Return the absolute accuracy setting of the solver used to estimate
inverse cumulative probabilities.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Return the absolute accuracy setting of the solver used to estimate
inverse cumulative probabilities.
- getSorted() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Get the sorted segments.
- getSortedValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the current set of values in an array of double primitives,
sorted in ascending order.
- getSourceString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Gets the source (non-localized) string.
- getSourceString() - Method in interface org.apache.commons.math3.exception.util.Localizable
-
Gets the source (non-localized) string.
- getSourceString() - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Gets the source (non-localized) string.
- getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the space to which the vector belongs.
- getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the space to which the vector belongs.
- getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the space to which the vector belongs.
- getSpace() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the space to which the vector belongs.
- getSparsity() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
- getSqr2() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √2.
- getSqr2Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √2 / 2.
- getSqr2Split() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √2 split in two pieces.
- getSqr3() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √3.
- getSqr3Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √3 / 3.
- getSquareRoot() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Computes the square-root of the matrix.
- getStandardDeviation() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
standard deviation of the ith entries of the arrays
that correspond to each multivariate sample
- getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the standard deviation of the values that have been added.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the standard deviation of the values that have been added.
- getStandardDeviations() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Gets the square root of each element on the diagonal of the covariance
matrix.
- getStart() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Get the start point of the segment.
- getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get start vertex.
- getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Get the start point of the segment.
- getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the starter integrator.
- getStartIndex() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns the "start index" of the internal array.
- getStartPoint() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Gets the initial guess.
- getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Gets the initial values of the optimized parameters.
- getStartValue() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
- getStartValue() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Gets the start value.
- getStartValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
- getStartValue() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getStateDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the dimension of the state estimation vector.
- getStateEstimation() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the current state estimation vector.
- getStateEstimationVector() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns a copy of the current state estimation vector.
- getStateTransitionMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the state transition matrix.
- getStateTransitionMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the state transition matrix.
- getStatisticsDHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- getStatisticsDHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStdErrorOfEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
- getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
- getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get all the step handlers that have been added to the integrator.
- getStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get all the step handlers that have been added to the integrator.
- getStepSize() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Get the step size.
- getStirlingError(double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
Compute the error of Stirling's series at the given value.
- getStrict() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get a submatrix.
- getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get a submatrix.
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Gets a submatrix.
- getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Gets a submatrix.
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get a submatrix.
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Gets a submatrix.
- getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get a submatrix.
- getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get a submatrix.
- getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Gets a submatrix.
- getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Gets a submatrix.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in interface org.apache.commons.math3.geometry.Space
-
Get the n-1 dimension subspace of this space.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Get a subvector from consecutive elements.
- getSuffix() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the format suffix.
- getSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format suffix.
- getSuffix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the format suffix.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the sum of the values that have been added to Univariate.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the sum of the values that have been added to Univariate.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
sum of the ith entries of the arrays
that correspond to each multivariate sample
- getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the sum of the values that have been added to Univariate.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the sum of the values that have been added
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the sum of the values that have been added
- getSumFreq() - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the sum of all frequencies.
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured sum implementation.
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured Sum implementation
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured Sum implementation
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured Sum implementation
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured Sum implementation
- getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getSumLog() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
sum of logs of the ith entries of the arrays
that correspond to each multivariate sample
- getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSummary() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
- getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
- getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
- getSumOfCrossProducts() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of crossproducts, xi*yi.
- getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the sum of the logs of all the aggregated data.
- getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the sum of the logs of the values that have been added.
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the sum of the squares of all the aggregated data.
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the sum of the squares of the available values.
- getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- getSumSq() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the
sum of squares of the ith entries of the arrays
that correspond to each multivariate sample
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the sum of the squares of the values that have been added.
- getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the sum of the squares of the values that have been added.
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured sum of squares implementation.
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumSquaredErrors() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
- getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the upper bound of the interval.
- getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the highest value belonging to the instance.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Access the lower bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Access the upper bound of the support.
- getT() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Returns the quasi-triangular Schur matrix T of the transform.
- getT() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Returns the tridiagonal matrix T of the transform.
- getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Gets the observed values to be matched by the objective vector
function.
- getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Target
-
Gets the initial guess.
- getTarget() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Gets the observed values to be matched by the objective vector
function.
- getTarget() - Method in class org.apache.commons.math3.optimization.Target
-
Deprecated.
Gets the initial guess.
- getTargetRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
- getTargetSize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Gets the number of observed values.
- getThreshold() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
- getThreshold() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
-
- getThrowable() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Get a reference to the exception to which the context relates.
- getTiesStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Return the TiesStrategy
- getTime() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get current time.
- getTotalDimension() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Return the dimension of the complete set of equations.
- getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the sum of squared deviations of the y values about their mean.
- getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared deviations of the y values about their mean.
- getTrace() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the
trace of the matrix (the sum of the elements on the main diagonal).
- getTrace() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the
trace of the matrix (the sum of the elements on the main diagonal).
- getTrace() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the
trace of the matrix (the sum of the elements on the main diagonal).
- getTrace() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the
trace of the matrix (the sum of the elements on the main diagonal).
- getTransform(AffineTransform) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get a
Transform embedding an affine transform.
- getTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
-
Returns the Transformer that is mapped to a class
if mapping is not present, this returns null.
- getTree(boolean) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the underlying BSP tree.
- getTree(boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the underlying BSP tree.
- getTwo() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the constant 2.
- getTwo() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant 2.
- getU() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the plane first canonical vector.
- getU() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Returns the matrix U of the transform.
- getU() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the matrix U of the decomposition.
- getU() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the matrix U of the decomposition.
- getU() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the matrix U of the decomposition.
- getUniqueCount() - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values in the frequency table.
- getUpper() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
- getUpper() - Method in class org.apache.commons.math3.optim.SimpleBounds
-
Gets the upper bounds.
- getUpper() - Method in class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.
Gets the lower bounds.
- getUpperBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
- getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
-
Deprecated.
- getUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns a fresh copy of the array of upper bounds for the bins.
- getUpperDomain(int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Return the highest domain value for the given hypergeometric distribution
parameters.
- getUT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the transpose of the matrix U of the decomposition.
- getV() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the plane second canonical vector.
- getV() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Returns the matrix V of the transform.
- getV() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the matrix V of the decomposition.
- getV() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the matrix V of the decomposition.
- getValue() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the value part of the derivative structure.
- getValue(String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the value associated to the given context key.
- getValue() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Deprecated.
Get the value of the entry.
- getValue() - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Get the value of the entry.
- getValue() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Gets the value of the constraint (right hand side).
- getValue() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Get the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Get the value of the constraint (right hand side).
- getValue(double[]) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Compute the value of the linear equation at the current point
- getValue(RealVector) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Compute the value of the linear equation at the current point
- getValue() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.
Gets the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.
Get the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Returns the value of the pair.
- getValue() - Method in class org.apache.commons.math3.util.Pair
-
Get the value.
- getValueRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets a reference to the value of the objective function.
- getValueRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.
Gets a reference to the value of the objective function.
- getValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the current set of values in an array of double primitives.
- getValues() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the current set of values in an array of double primitives.
- getValuesFileURL() - Method in class org.apache.commons.math3.random.ValueServer
-
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the variance of the available values.
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the (sample) variance of the available values.
- getVariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the variance of the available values.
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the (sample) variance of the available values.
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the (sample) variance of the available values.
- getVarianceDirection() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the varianceDirection property.
- getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured variance implementation.
- getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured variance implementation
- getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured variance implementation
- getVcvElement(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Gets the i-jth element of the variance-covariance matrix.
- getVectorPart() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the three components of the vector part of the quaternion.
- getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Get the vertices of the polygon.
- getVT() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the transpose of the matrix V of the decomposition.
- getVT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the transpose of the matrix V of the decomposition.
- getWeight() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Gets the weight of the measurement in the fitting process.
- getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Gets the weight matrix of the observations.
- getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Weight
-
Gets the initial guess.
- getWeight() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Gets the weight matrix of the observations.
- getWeight() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.
Get the weight of the measurement in the fitting process.
- getWeight() - Method in class org.apache.commons.math3.optimization.Weight
-
Deprecated.
Gets the initial guess.
- getWeightRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
- getWeightSquareRoot() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Gets the square-root of the weight matrix.
- getWeightSquareRoot() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Gets the square-root of the weight matrix.
- getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Access the whole format.
- getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Access the whole format.
- getWidth() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the width of the tableau.
- getWidth() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get the width of the tableau.
- getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the maximum number of values that can be stored in the
dataset, or INFINITE_WINDOW (-1) if there is no limit.
- getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the maximum number of values that can be stored in the
dataset, or INFINITE_WINDOW (-1) if there is no limit.
- getWrongColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
- getWrongDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
- getWrongDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
- getWrongRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
- getX() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Gets the abscissa of the point.
- getX() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the abscissa of the vector.
- getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the abscissa of the vector.
- getX() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the abscissa of the vector.
- getX() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.
Get the abscissa of the point.
- getX() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
- getXSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared deviations of the x values about their mean.
- getY() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Gets the observed value of the function at x.
- getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the ordinate of the vector.
- getY() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the ordinate of the vector.
- getY() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.
Get the observed value of the function at x.
- getY() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
- getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the height of the vector.
- getZero() - Method in class org.apache.commons.math3.complex.ComplexField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the constant 0.
- getZero() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant 0.
- getZero() - Method in interface org.apache.commons.math3.Field
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.fraction.FractionField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in class org.apache.commons.math3.util.BigRealField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.util.Decimal64Field
-
Get the additive identity of the field.
- GillIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the Gill fourth order Runge-Kutta
integrator for Ordinary Differential Equations .
- GillIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Simple constructor.
- GillStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the Gill fourth
order Runge-Kutta integrator.
- GillStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Simple constructor.
- GillStepInterpolator(GillStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Copy constructor.
- GLD_RATIO - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
The golden ratio
- globalCurrentTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
global current time
- globalFitInfo - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
array storing global results, SSE, MSE, RSQ, adjRSQ
- globalPreviousTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
global previous time
- GLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
-
The GLS implementation of the multiple linear regression.
- GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
- gmax - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of max(|alpha[1]|, gamma[1], ..., gamma[k-1]).
- gmin - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of min(|alpha[1]|, gamma[1], ..., gamma[k-1]).
- goal - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Type of optimization.
- goal - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Type of optimization.
- goal - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Type of optimization.
- goal - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- goal - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Optimization type
- GoalType - Enum in org.apache.commons.math3.optim.nonlinear.scalar
-
Goal type for an optimization problem (minimization or maximization of
a scalar function.
- GoalType() - Constructor for enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
-
- GoalType - Enum in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- GoalType() - Constructor for enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.
- GOLD - Static variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Golden section.
- GOLD - Static variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
Golden section.
- GOLDEN_SECTION - Static variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Golden section.
- GOLDEN_SECTION - Static variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.
Golden section.
- goodb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Copy of the goodb parameter.
- gradient() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
-
Deprecated.
Returns the gradient function.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
-
Computes the value of the gradient at x.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
-
Computes the value of the gradient at x.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
-
Computes the value of the gradient at x.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
-
Computes the value of the gradient at x.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
-
Computes the value of the gradient at x.
- gradient(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
-
Compute the gradient of the function with respect to its parameters.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
-
Compute the gradient of the function with respect to its parameters.
- gradient - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
Gradient of the objective function.
- gradient - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
-
Function to be optimized.
- gradient - Variable in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.
Objective function gradient.
- gradient - Variable in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.
Objective function gradient.
- gradientAtTrustRegionCenter - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- gradientAtTrustRegionCenter - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- GradientFunction - Class in org.apache.commons.math3.analysis.differentiation
-
Class representing the gradient of a multivariate function.
- GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.GradientFunction
-
Simple constructor.
- GradientMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Base class for implementing optimizers for multivariate scalar
differentiable functions.
- GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
- GraggBulirschStoerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a Gragg-Bulirsch-Stoer integrator for
Ordinary Differential Equations.
- GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Simple constructor.
- GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Simple constructor.
- GraggBulirschStoerStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements an interpolator for the Gragg-Bulirsch-Stoer
integrator.
- GraggBulirschStoerStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Simple constructor.
- GraggBulirschStoerStepInterpolator(double[], double[], double[], double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Simple constructor.
- GraggBulirschStoerStepInterpolator(GraggBulirschStoerStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Copy constructor.
- GREATER_THAN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by greaterThan.
- greaterThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is greater than x.
- growLimit - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Factor for expanding the interval.
- growLimit - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
Factor for expanding the interval.
- growTable() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Grow the tables.
- growTable() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Grow the tables.
- GTest - Class in org.apache.commons.math3.stat.inference
-
- GTest() - Constructor for class org.apache.commons.math3.stat.inference.GTest
-
- gTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Returns the
observed significance level, or
p-value,
associated with a G-Test for goodness of fit comparing the
observed frequency counts to those in the
expected array.
- gTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit
evaluating the null hypothesis that the observed counts conform to the
frequency distribution described by the expected counts, with
significance level alpha.
- gTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- gTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Returns the
observed significance level, or
p-value, associated with a G-Value (Log-Likelihood Ratio) for two
sample test comparing bin frequency counts in
observed1 and
observed2.
- gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned
data sets.
- gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described
in p64-69 of McDonald, J.H.
- gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- guess() - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.
Gets an estimation of the parameters.
- guessAOmega(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Estimate a first guess of the amplitude and angular frequency.
- guessAOmega(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.
Estimate a first guess of the amplitude and angular frequency.
- guessParametersErrors() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- guessPhi(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Estimate a first guess of the phase.
- guessPhi(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.
Estimate a first guess of the phase.
- guessX(double, double[], double[], int, int) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Guess an x value by nth order inverse polynomial interpolation.
- guessX(Dfp, Dfp[], Dfp[], int, int) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Guess an x value by nth order inverse polynomial interpolation.
- I - Static variable in class org.apache.commons.math3.complex.Complex
-
The square root of -1.
- I - Static variable in class org.apache.commons.math3.complex.Quaternion
-
i
- i1 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index the value index + m1 taking table size into account.
- i2 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index the value index + m2 taking table size into account.
- i2s2 - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Inverse of twice the square of the standard deviation.
- i3 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index the value index + m3 taking table size into account.
- Identity - Class in org.apache.commons.math3.analysis.function
-
Identity function.
- Identity() - Constructor for class org.apache.commons.math3.analysis.function.Identity
-
- IDENTITY - Static variable in class org.apache.commons.math3.complex.Quaternion
-
Identity quaternion.
- IDENTITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Identity rotation.
- identityPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation corresponding to an identity permutation of
length l which can be passed to the RandomKey constructor.
- ieeeFlags - Variable in class org.apache.commons.math3.dfp.DfpField
-
IEEE 854-1987 signals.
- IEEEremainder(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes the remainder as prescribed by the IEEE 754 standard.
- IllConditionedOperatorException - Exception in org.apache.commons.math3.linear
-
- IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math3.linear.IllConditionedOperatorException
-
Creates a new instance of this class.
- IllinoisSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Illinois method for root-finding (approximating
a zero of a univariate real function).
- IllinoisSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver with default accuracy (1e-6).
- IllinoisSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver.
- IllinoisSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver.
- IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver.
- illumination() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Get the illumination of the element.
- imagEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Imaginary part of the realEigenvalues.
- imagEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Imaginary part of the realEigenvalues.
- imaginary - Variable in class org.apache.commons.math3.complex.Complex
-
The imaginary part.
- imaginaryCharacter - Variable in class org.apache.commons.math3.complex.ComplexFormat
-
The notation used to signify the imaginary part of the complex number.
- imaginaryFormat - Variable in class org.apache.commons.math3.complex.ComplexFormat
-
The format used for the imaginary part.
- IMPLICIT_ONE - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Implicit MSB for normalized numbers.
- include(double[], double, double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
The include method is where the QR decomposition occurs.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Determines whether or not this statistic can be incremented or cleared.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Determines whether or not this statistic can be incremented or cleared.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Determines whether or not this statistic can be incremented or cleared.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
- incoming - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Incoming edge.
- increasing - Variable in class org.apache.commons.math3.ode.events.EventState
-
Variation direction around pending event.
- increment(double, double) - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Update the covariance estimation with a pair of variables (x, y).
- increment(double[]) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Increment the covariance matrix with one row of data.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Add a new vector to the sample.
- increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Add a new vector to the sample.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Updates the internal state of the statistic to reflect the addition of the new value.
- incrementAll(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
- incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
- incrementAll(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect addition of
all values in the values array.
- incrementAll(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect addition of
the values in the designated portion of the values array.
- incrementCount(int) - Method in class org.apache.commons.math3.util.Incrementor
-
Performs multiple increments.
- incrementCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Adds one to the current iteration count.
- incrementEvaluationCount() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Increment the evaluation count by one.
- incrementEvaluationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Increment the evaluation count.
- incrementIterationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Increment the iteration count.
- incrementIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
-
Increments the iteration count by one, and throws an exception if the
maximum number of iterations is reached.
- incrementIterationsCounter() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Increment the iterations counter by 1.
- Incrementor - Class in org.apache.commons.math3.util
-
Utility that increments a counter until a maximum is reached, at
which point, the instance will by default throw a
MaxCountExceededException.
- Incrementor() - Constructor for class org.apache.commons.math3.util.Incrementor
-
Default constructor.
- Incrementor(int) - Constructor for class org.apache.commons.math3.util.Incrementor
-
Defines a maximal count.
- Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.Incrementor
-
Defines a maximal count and a callback method to be triggered at
counter exhaustion.
- Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
-
Defines a method to be called at counter exhaustion.
- incrementValue(Comparable<?>, long) - Method in class org.apache.commons.math3.stat.Frequency
-
Increments the frequency count for v.
- index - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Index of the wrong value.
- index - Variable in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
Index (diagonal element).
- index - Variable in class org.apache.commons.math3.linear.RealVector.Entry
-
Index of this entry.
- index - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Current interpolator index.
- index - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Index of the instance in the expandable set.
- index - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
-
Index into sorted array.
- index - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
Index into sorted array.
- index - Variable in class org.apache.commons.math3.random.AbstractWell
-
Current index in the bytes pool.
- indexOf(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Returns the index (i, j) translated into the one-dimensional
array used to store the upper triangular part of the symmetric
covariance matrix.
- inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation of a permutation corresponding to a
permutation which yields permutedData when applied to
originalData.
- INF - Static variable in class org.apache.commons.math3.complex.Complex
-
A complex number representing "+INF + INFi"
- INFINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator value for Infinity.
- INFINITE_WINDOW - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Represents an infinite window size.
- init() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Performs the initial phase of the SYMMLQ algorithm.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Initialize event handler at the start of an ODE integration.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Initialize step handler at the start of an ODE integration.
- init - Variable in class org.apache.commons.math3.optim.InitialGuess
-
Initial guess.
- init - Variable in class org.apache.commons.math3.optimization.InitialGuess
-
Deprecated.
Initial guess.
- initialErrorCovMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The initial error covariance matrix of the observed process.
- InitialGuess - Class in org.apache.commons.math3.optim
-
Starting point (first guess) of the optimization procedure.
- InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optim.InitialGuess
-
- InitialGuess - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optimization.InitialGuess
-
Deprecated.
- initialGuessIndex - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
- initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
-
Invoked after completion of the initial phase of the iterative algorithm
(prior to the main iteration loop).
- initializeArrays() - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Initialize the integrator internal arrays.
- initializeCMA(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Initialization of the dynamic search parameters
- initializeCMA(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Initialization of the dynamic search parameters
- initializeColumnLabels() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Initialize the labels for the columns.
- initializeColumnLabels() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Initialize the labels for the columns.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math3.ode.MultistepIntegrator.NordsieckTransformer
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Initialize the high order scaled derivatives at step start.
- initializeMatrix(boolean) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
- initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Initialize the integration step.
- initialStateEstimateVector - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The initial state estimation of the observed process.
- initialStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
User supplied initial step.
- initialStep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
-
Initial step.
- initialStep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Initial step used to bracket the optimum in line search.
- initialStep - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
Initial step used to bracket the optimum in line search.
- initialStepBoundFactor - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Positive input variable used in determining the initial step bound.
- initialStepBoundFactor - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Positive input variable used in determining the initial step bound.
- initialTime - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Initial integration time.
- initialTrustRegionRadius - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
initialTrustRegionRadius XXX
- initialTrustRegionRadius - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
initialTrustRegionRadius XXX
- initIntegration(double, double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Prepare the start of an integration.
- initQRStep(int, int, SchurTransformer.ShiftInfo, double[]) - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Initialize the householder vectors for the QR step.
- initRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Sets the default generator to a
Well19937c generator seeded with
System.currentTimeMillis() + System.identityHashCode(this)).
- initState() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Initialize, or reinitialize, this instance of rand.
- innerCumulativeProbability(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For this distribution, X, this method returns
P(x0 <= X <= x1).
- inputArray - Variable in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Array of input data values
- inputSigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- inputSigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- inputStream - Variable in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Input stream providing access to the data
- insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Insert an element in the tree.
- insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Insert an element in a sub-tree.
- insertCut(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Insert a cut sub-hyperplane in a node.
- insertCuts(BSPTree<S>, Collection<SubHyperplane<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Recursively build a tree by inserting cut sub-hyperplanes.
- insertEdges(double, BSPTree<Euclidean2D>, List<PolygonsSet.Edge>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Recursively build a tree by inserting cut sub-hyperplanes.
- insertEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Insert equation data into a complete state or derivative array.
- insertInTree(BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Insert the instance into another tree.
- insertionSort(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Sort in place a (small) array slice using insertion sort
- INSTANCE - Static variable in class org.apache.commons.math3.complex.ComplexField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.fraction.BigFractionField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.fraction.FractionField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.ode.sampling.DummyStepHandler.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.util.BigRealField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.util.Decimal64Field
-
The unique instance of this class.
- IntegerDistribution - Interface in org.apache.commons.math3.distribution
-
Interface for distributions on the integers.
- integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Integrate the function in the given interval.
- integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Returns an estimate of the integral of f(x) * w(x),
where w is a weight function that depends on the actual
flavor of the Gauss integration scheme.
- integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Integrate the function in the given interval.
- integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Integrate the differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderIntegrator
-
Integrate the differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderIntegrator
-
Integrate the differential equations up to the given time
- integrator - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Reference to the integrator.
- internalArray - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The internal storage array.
- interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
-
Computes a linear interpolating function for the data set.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Compute an interpolating function by performing a loess fit
on the data at the original abscissae and then building a cubic spline
with a
SplineInterpolator
on the resulting fit.
- interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[][], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.MultivariateInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math3.analysis.interpolation.TrivariateGridInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Compute an interpolating function for the dataset.
- interpolatedDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated derivatives
- interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated primary derivatives
- interpolatedPrimaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated primary state
- interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated secondary derivatives
- interpolatedSecondaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated secondary state
- interpolatedState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated state
- interpolatedTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated time
- interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Interpolates using the specified points to determine X at the
specified Y.
- interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Interpolates using the specified points to determine X at the
specified Y.
- interpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- interpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- interpolator - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Interpolator.
- intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the intersection point of the instance and another line.
- intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the intersection of a line with the instance.
- intersection(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build the line shared by the instance and another plane.
- intersection(Plane, Plane, Plane) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the intersection point of three planes.
- intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Get the intersection of the instance and another sub-line.
- intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the intersection point of the instance and another line.
- intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Get the intersection of the instance and another sub-line.
- intersection(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the parts of a sub-hyperplane that are contained in the region.
- intersection(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the parts of a sub-hyperplane that are contained in the region.
- intersection(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Compute the intersection of two regions.
- Interval - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents a 1D interval.
- Interval(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Simple constructor.
- IntervalsSet - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents a 1D region: a set of intervals.
- IntervalsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set representing the whole real line.
- IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set corresponding to a single interval.
- IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set from an inside/outside BSP tree.
- IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set from a Boundary REPresentation (B-rep).
- intValue() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert this to an integer.
- intValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as an int.
- intValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction as an int.
- intValue() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation performs casting to a int.
- INV_GAMMA1P_M1_A0 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant A0 defined in DGAM1.
- INV_GAMMA1P_M1_A1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant A1 defined in DGAM1.
- INV_GAMMA1P_M1_B1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B1 defined in DGAM1.
- INV_GAMMA1P_M1_B2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B2 defined in DGAM1.
- INV_GAMMA1P_M1_B3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B3 defined in DGAM1.
- INV_GAMMA1P_M1_B4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B4 defined in DGAM1.
- INV_GAMMA1P_M1_B5 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B5 defined in DGAM1.
- INV_GAMMA1P_M1_B6 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B6 defined in DGAM1.
- INV_GAMMA1P_M1_B7 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B7 defined in DGAM1.
- INV_GAMMA1P_M1_B8 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant B8 defined in DGAM1.
- INV_GAMMA1P_M1_C - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C defined in DGAM1.
- INV_GAMMA1P_M1_C0 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C0 defined in DGAM1.
- INV_GAMMA1P_M1_C1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C1 defined in DGAM1.
- INV_GAMMA1P_M1_C10 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C10 defined in DGAM1.
- INV_GAMMA1P_M1_C11 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C11 defined in DGAM1.
- INV_GAMMA1P_M1_C12 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C12 defined in DGAM1.
- INV_GAMMA1P_M1_C13 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C13 defined in DGAM1.
- INV_GAMMA1P_M1_C2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C2 defined in DGAM1.
- INV_GAMMA1P_M1_C3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C3 defined in DGAM1.
- INV_GAMMA1P_M1_C4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C4 defined in DGAM1.
- INV_GAMMA1P_M1_C5 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C5 defined in DGAM1.
- INV_GAMMA1P_M1_C6 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C6 defined in DGAM1.
- INV_GAMMA1P_M1_C7 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C7 defined in DGAM1.
- INV_GAMMA1P_M1_C8 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C8 defined in DGAM1.
- INV_GAMMA1P_M1_C9 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant C9 defined in DGAM1.
- INV_GAMMA1P_M1_P0 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant P0 defined in DGAM1.
- INV_GAMMA1P_M1_P1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant P1 defined in DGAM1.
- INV_GAMMA1P_M1_P2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant P2 defined in DGAM1.
- INV_GAMMA1P_M1_P3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant P3 defined in DGAM1.
- INV_GAMMA1P_M1_P4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant P4 defined in DGAM1.
- INV_GAMMA1P_M1_P5 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant P5 defined in DGAM1.
- INV_GAMMA1P_M1_P6 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant P6 defined in DGAM1.
- INV_GAMMA1P_M1_Q1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant Q1 defined in DGAM1.
- INV_GAMMA1P_M1_Q2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant Q2 defined in DGAM1.
- INV_GAMMA1P_M1_Q3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant Q3 defined in DGAM1.
- INV_GAMMA1P_M1_Q4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant Q4 defined in DGAM1.
- InvalidRepresentationException - Exception in org.apache.commons.math3.genetics
-
Exception indicating that the representation of a chromosome is not valid.
- InvalidRepresentationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.genetics.InvalidRepresentationException
-
Construct an InvalidRepresentationException with a specialized message.
- Inverse - Class in org.apache.commons.math3.analysis.function
-
Inverse function.
- Inverse() - Constructor for class org.apache.commons.math3.analysis.function.Inverse
-
- inverse(int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- inverse(int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- inverse(double[], int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
This internal method calculates the inverse of the upper-triangular portion
of the R matrix.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Computes the quantile function of this distribution.
- invGamma1pm1(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the value of 1 / Γ(1 + x) - 1 for -0.5 ≤ x ≤
1.5.
- iRm1 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index its predecessor taking table size into account.
- iRm2 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index its second predecessor taking table size into account.
- is - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Inverse of the standard deviation.
- isaac() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Generate 256 results
- isaac2() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Intermediate internal loop.
- isaac3() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Lowest level internal loop.
- isaacA - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Accumulator
- isaacB - Variable in class org.apache.commons.math3.random.ISAACRandom
-
The last result
- isaacC - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Counter, guarantees cycle is at least 2^40
- isaacI - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- isaacJ - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- ISAACRandom - Class in org.apache.commons.math3.random
-
- ISAACRandom() - Constructor for class org.apache.commons.math3.random.ISAACRandom
-
Creates a new ISAAC random number generator.
- ISAACRandom(long) - Constructor for class org.apache.commons.math3.random.ISAACRandom
-
Creates a new ISAAC random number generator using a single long seed.
- ISAACRandom(int[]) - Constructor for class org.apache.commons.math3.random.ISAACRandom
-
Creates a new ISAAC random number generator using an int array seed.
- isaacX - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- isActiveCMA - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Covariance update mechanism, default is active CMA.
- isActiveCMA - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Covariance update mechanism, default is active CMA.
- isBetween(double, double, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Determines whether a value is between two other values.
- isBetween(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Determines whether a value is between two other values.
- isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns true iff biasCorrected property is set to true.
- isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
- isBiasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Whether or not bias correction is applied when computing the
value of the statistic.
- isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
- isBiasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Indicator for bias correction.
- isBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check whether the function takes opposite signs at the endpoints.
- isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check whether the interval bounds bracket a root.
- isCounterClockWise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
-
- isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
- isDefaultValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Determine if this value is within epsilon of zero.
- isDirect() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Check if the hyperplane orientation is direct.
- isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the instance is empty.
- isEmpty(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the sub-tree starting at a given node is empty.
- isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Check if the instance is empty.
- isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the instance is empty.
- isEmpty(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the sub-tree starting at a given node is empty.
- isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Check if the instance is empty.
- isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Check if the tree is empty.
- isFeasible(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
- isFeasible(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Check if the natural integration direction is forward.
- isForward() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Check if the natural integration direction is forward.
- isInfinite - Variable in class org.apache.commons.math3.complex.Complex
-
Record whether this complex number is infinite.
- isInfinite() - Method in class org.apache.commons.math3.complex.Complex
-
Checks whether either the real or imaginary part of this complex number
takes an infinite value (either Double.POSITIVE_INFINITY or
Double.NEGATIVE_INFINITY) and neither part
is NaN.
- isInfinite() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is infinite.
- isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Returns true if any coordinate of this vector is infinite and none are NaN;
false otherwise
- isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Returns true if any coordinate of this vector is infinite and none are NaN;
false otherwise
- isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Returns true if any coordinate of this vector is infinite and none are NaN;
false otherwise
- isInfinite() - Method in interface org.apache.commons.math3.geometry.Vector
-
Returns true if any coordinate of this vector is infinite and none are NaN;
false otherwise
- isInfinite() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check whether any coordinate of this vector is infinite and none
are NaN.
- isInfinite() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Check whether any coordinate of this vector is infinite and none are NaN.
- isInfinite() - Method in class org.apache.commons.math3.linear.RealVector
-
Check whether any coordinate of this vector is infinite and none are NaN.
- isInfinite() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns true if this double precision number is infinite
(Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY).
- isLastStep - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Indicator for last step.
- isLoaded() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Property indicating whether or not the distribution has been loaded.
- isMinimize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Goal type (minimize or maximize).
- isMinimize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of objective variables/problem dimension
- isMinimize - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
Goal type (minimize or maximize).
- isMinimize - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Number of objective variables/problem dimension
- isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that an array is monotonically increasing or decreasing.
- isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that an array is monotonically increasing or decreasing.
- isNaN - Variable in class org.apache.commons.math3.complex.Complex
-
Record whether this complex number is equal to NaN.
- isNaN() - Method in class org.apache.commons.math3.complex.Complex
-
Checks whether either or both parts of this complex number is
NaN.
- isNaN() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is not a number.
- isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Returns true if any coordinate of this vector is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Returns true if any coordinate of this vector is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Returns true if any coordinate of this vector is NaN; false otherwise
- isNaN() - Method in interface org.apache.commons.math3.geometry.Vector
-
Returns true if any coordinate of this vector is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check if any coordinate of this vector is NaN.
- isNaN() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Check whether any coordinate of this vector is NaN.
- isNaN() - Method in class org.apache.commons.math3.linear.RealVector
-
Check whether any coordinate of this vector is NaN.
- isNaN() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns true if this double precision number is
Not-a-Number (NaN), false otherwise.
- isNextInStep(double, StepInterpolator) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Returns a value indicating whether the next normalized time is in the
current step.
- isNoIntercept() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
- isNonSingular() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Checks whether the decomposed matrix is non-singular.
- isNonSingular() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isOptimal() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Returns whether the problem is at an optimal state.
- isOptimal() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Returns whether the problem is at an optimal state.
- isParallelTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Check the instance is parallel to another line.
- isPowerOfTwo(long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Returns true if the argument is a power of two.
- isPureQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Checks whether the instance is a pure quaternion within a given
tolerance.
- isRandomStart() - Method in class org.apache.commons.math3.genetics.CycleCrossover
-
Returns whether the starting index is chosen randomly or set to zero.
- isRepairMode - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
Flag indicating whether the objective variables are forced into their
bounds if defined
- isRepairMode - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
Flag indicating whether the objective variables are forced into their
bounds if defined
- isRestricted - Variable in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
-
Whether the variables are all positive.
- isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
- isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
-
Indicates whether all the variables must be restricted to non-negative
values.
- isRoot(double, double, Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
-
Check whether the given complex root is actually a real zero
in the given interval, within the solver tolerance level.
- isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
-
- isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
-
Returns true iff another has the same representation and therefore the same fitness.
- isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey
-
Returns true iff another is a RandomKey and
encodes the same permutation.
- isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedElapsedTime
-
Determine whether or not the maximum allowed time has passed.
- isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Determine whether or not the given number of generations have passed.
- isSatisfied(Population) - Method in interface org.apache.commons.math3.genetics.StoppingCondition
-
Determine whether or not the given population satisfies the stopping condition.
- isSequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check whether the arguments form a (strictly) increasing sequence.
- isSequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check whether the arguments form a (strictly) increasing sequence.
- isSimilarTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Check if the instance is similar to another line.
- isSimilarTo(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Check if the instance is similar to another plane.
- isSquare() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Is this a square matrix?
- isSquare() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Is this a square matrix?
- isSquare() - Method in interface org.apache.commons.math3.linear.AnyMatrix
-
Is this a square matrix?
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Use this method to get information about whether the support is
connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Use this method to get information about whether the support is
connected, i.e.
- isSupportConnected() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Use this method to get information about whether the support is
connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Use this method to get information about whether the support is
connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Use this method to get information about whether the support is
connected, i.e.
- isSupportConnected() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Use this method to get information about whether the support is
connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Use this method to get information about whether the support is
connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
-
Check if a parameter is supported.
- isSupported(String) - Method in interface org.apache.commons.math3.ode.Parameterizable
-
Check if a parameter is supported.
- isSupported(String) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Check if a parameter is supported.
- isSupported(String) - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Check if a parameter is supported.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Deprecated.
to be removed in 4.0
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Deprecated.
to be removed in 4.0
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSymmetric - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Whether the matrix is symmetric.
- isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Checks whether a matrix is symmetric.
- isSymmetricInternal(RealMatrix, double, boolean) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Checks whether a matrix is symmetric, within a given relative tolerance.
- isSymmetricVCD - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
boolean flag for variance covariance matrix in symm compressed storage
- isTransposable() - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
- isUnitQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Checks whether the instance is a unit quaternion within a given
tolerance.
- isUpperBiDiagonal() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Check if the matrix is transformed to upper bi-diagonal.
- isZero() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is equal to zero.
- iter - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Deprecated.
Iterator pointing to the entry.
- iter - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
-
Deprecated.
Underlying iterator.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Compute the next simplex of the algorithm.
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimplePointChecker
-
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimpleValueChecker
-
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.
- IterationEvent - Class in org.apache.commons.math3.util
-
The root class from which all events occurring while running an
IterationManager should be derived.
- IterationEvent(Object, int) - Constructor for class org.apache.commons.math3.util.IterationEvent
-
Creates a new instance of this class.
- IterationListener - Interface in org.apache.commons.math3.util
-
The listener interface for receiving events occurring in an iterative
algorithm.
- IterationManager - Class in org.apache.commons.math3.util
-
This abstract class provides a general framework for managing iterative
algorithms.
- IterationManager(int) - Constructor for class org.apache.commons.math3.util.IterationManager
-
Creates a new instance of this class.
- IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
-
Creates a new instance of this class.
- iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
-
Invoked each time an iteration is completed (in the main iteration loop).
- iterations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
The iteration count.
- iterations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
-
Iterations counter.
- iterations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of iterations already performed.
- iterations - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Number of iterations already performed.
- iterations - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Number of iterations already performed.
- iterations - Variable in class org.apache.commons.math3.util.IterationEvent
-
The number of iterations performed so far.
- iterations - Variable in class org.apache.commons.math3.util.IterationManager
-
Keeps a count of the number of iterations.
- iterationStarted(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
-
Invoked each time a new iteration is completed (in the main iteration
loop).
- IterativeLegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
-
This algorithm divides the integration interval into equally-sized
sub-interval and on each of them performs a
Legendre-Gauss quadrature.
- IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Builds an integrator with given accuracies and iterations counts.
- IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Builds an integrator with given accuracies.
- IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Builds an integrator with given iteration counts.
- IterativeLinearSolver - Class in org.apache.commons.math3.linear
-
This abstract class defines an iterative solver for the linear system A
· x = b.
- IterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
-
Creates a new instance of this class, with default iteration manager.
- IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
-
Creates a new instance of this class, with custom iteration manager.
- IterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
-
- IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Creates a new instance of this class.
- iterator() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Returns an iterator over the unmodifiable list of chromosomes.
- iterator() - Method in class org.apache.commons.math3.linear.RealVector
-
Generic dense iterator.
- iterator() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Create an iterator over this counter.
- iterator() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Get an iterator over map elements.
- iterator() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Get an iterator over map elements.
- m - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Abscissa of maximum growth.
- m - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
max(row dimension, column dimension).
- m - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Reference to the preconditioner, M.
- M - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
Period second parameter.
- M1 - Static variable in class org.apache.commons.math3.random.Well1024a
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well19937a
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well19937c
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well44497a
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well44497b
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well512a
-
First parameter of the algorithm.
- m1 - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
First moment of values that have been added
- M2 - Static variable in class org.apache.commons.math3.random.Well1024a
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well19937a
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well19937c
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well44497a
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well44497b
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well512a
-
Second parameter of the algorithm.
- m2 - Variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
second moment of values that have been added
- M3 - Static variable in class org.apache.commons.math3.random.Well1024a
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well19937a
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well19937c
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well44497a
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well44497b
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well512a
-
Third parameter of the algorithm.
- m3 - Variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
third moment of values that have been added
- m4 - Variable in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
fourth moment of values that have been added
- MACH_PREC - Static variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The machine precision.
- MAG01 - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
X * MATRIX_A for X = {0, 1}.
- main - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Main diagonal.
- main - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Main diagonal of the tridiagonal matrix.
- main - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Main diagonal.
- main(String[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Print out contents of arrays, and check the length.
- mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Main set dimension.
- MainStateJacobianProvider - Interface in org.apache.commons.math3.ode
-
- manager - Variable in class org.apache.commons.math3.linear.IterativeLinearSolver
-
The object in charge of managing the iterations.
- mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
- MannWhitneyUTest - Class in org.apache.commons.math3.stat.inference
-
An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
- MannWhitneyUTest() - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Create a test instance using where NaN's are left in place and ties get
the average of applicable ranks.
- MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Create a test instance using the given strategies for NaN's and ties.
- mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
- mant - Variable in class org.apache.commons.math3.dfp.Dfp
-
Mantissa.
- mantissa(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Extract the mantissa from the bits of a double.
- MANTISSA_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Mantissa bits mask.
- map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Acts as if implemented as:
- map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
-
Acts as if implemented as:
- map - Variable in class org.apache.commons.math3.util.TransformerMap
-
The internal Map.
- mapAdd(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map an addition operation to each entry.
- mapAdd(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map an addition operation to each entry.
- mapAdd(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Add a value to each entry.
- mapAdd(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Add a value to each entry.
- mapAdd(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map an addition operation to each entry.
- mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map an addition operation to each entry.
- mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Add a value to each entry.
- mapAddToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map an addition operation to each entry.
- mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Add a value to each entry.
- mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Add a value to each entry.
- mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map an addition operation to each entry.
- mapDivide(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a division operation to each entry.
- mapDivide(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a division operation to each entry.
- mapDivide(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Divide each entry by the argument.
- mapDivide(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map a division operation to each entry.
- mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a division operation to each entry.
- mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Divide each entry by the argument.
- mapDivideToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a division operation to each entry.
- mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Divide each entry by the argument.
- mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map a division operation to each entry.
- mapInv() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map the 1/x function to each entry.
- mapInv() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map the 1/x function to each entry.
- mapInv() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map the 1/x function to each entry.
- mapInvToSelf() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map the 1/x function to each entry.
- mapInvToSelf() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map the 1/x function to each entry.
- mapInvToSelf() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map the 1/x function to each entry.
- mapMultiply(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a multiplication operation to each entry.
- mapMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a multiplication operation to each entry.
- mapMultiply(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Multiply each entry by the argument.
- mapMultiply(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map a multiplication operation to each entry.
- mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a multiplication operation to each entry.
- mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Multiply each entry.
- mapMultiplyToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a multiplication operation to each entry.
- mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Multiply each entry.
- mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map a multiplication operation to each entry.
- mapper - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
Mapper between local and complete arrays.
- mappers - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Mapping functions.
- mappers - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.
Mapping functions.
- mapSubtract(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a subtraction operation to each entry.
- mapSubtract(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a subtraction operation to each entry.
- mapSubtract(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Subtract a value from each entry.
- mapSubtract(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map a subtraction operation to each entry.
- mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a subtraction operation to each entry.
- mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Subtract a value from each entry.
- mapSubtractToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a subtraction operation to each entry.
- mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Subtract a value from each entry.
- mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Map a subtraction operation to each entry.
- mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Acts as if it is implemented as:
- mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
-
Acts as if it is implemented as:
- MASK - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
For pseudo-random lookup
- mask - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Bit mask for hash values.
- mask - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Bit mask for hash values.
- MASK_30BITS - Static variable in class org.apache.commons.math3.util.FastMath
-
Mask used to clear low order 30 bits
- mat2quat(double[][]) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Convert an orthogonal rotation matrix to a quaternion.
- mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.CycleCrossover
-
- mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.NPointCrossover
-
- mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
-
- mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.UniformCrossover
-
- MathArithmeticException - Exception in org.apache.commons.math3.exception
-
Base class for arithmetic exceptions.
- MathArithmeticException() - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
-
Default constructor.
- MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
-
Constructor with a specific message.
- MathArrays - Class in org.apache.commons.math3.util
-
Arrays utilities.
- MathArrays() - Constructor for class org.apache.commons.math3.util.MathArrays
-
Private constructor.
- MathArrays.Function - Interface in org.apache.commons.math3.util
-
Real-valued function that operate on an array or a part of it.
- MathArrays.OrderDirection - Enum in org.apache.commons.math3.util
-
Specification of ordering direction.
- MathArrays.OrderDirection() - Constructor for enum org.apache.commons.math3.util.MathArrays.OrderDirection
-
- MathIllegalArgumentException - Exception in org.apache.commons.math3.exception
-
Base class for all preconditions violation exceptions.
- MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalArgumentException
-
- MathIllegalNumberException - Exception in org.apache.commons.math3.exception
-
Base class for exceptions raised by a wrong number.
- MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalNumberException
-
Construct an exception.
- MathIllegalStateException - Exception in org.apache.commons.math3.exception
-
Base class for all exceptions that signal a mismatch between the
current state and the user's expectations.
- MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
-
Simple constructor.
- MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
-
Simple constructor.
- MathIllegalStateException() - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
-
Default constructor.
- MathInternalError - Exception in org.apache.commons.math3.exception
-
Exception triggered when something that shouldn't happen does happen.
- MathInternalError() - Constructor for exception org.apache.commons.math3.exception.MathInternalError
-
Simple constructor.
- MathInternalError(Throwable) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
-
Simple constructor.
- MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
-
Constructor accepting a localized message.
- MathParseException - Exception in org.apache.commons.math3.exception
-
Class to signal parse failures.
- MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math3.exception.MathParseException
-
- MathParseException(String, int) - Constructor for exception org.apache.commons.math3.exception.MathParseException
-
- MathRuntimeException - Exception in org.apache.commons.math3.exception
-
As of release 4.0, all exceptions thrown by the Commons Math code (except
NullArgumentException) inherit from this class.
- MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathRuntimeException
-
- MathUnsupportedOperationException - Exception in org.apache.commons.math3.exception
-
Base class for all unsupported features.
- MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Default constructor.
- MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
-
- MathUtils - Class in org.apache.commons.math3.util
-
Miscellaneous utility functions.
- MathUtils() - Constructor for class org.apache.commons.math3.util.MathUtils
-
Class contains only static methods.
- matricesData - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
State and parameters Jacobian matrices in a row.
- MatrixDimensionMismatchException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when either the number of rows or the number of
columns of a matrix do not match the expected values.
- MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- matrixP - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
P matrix.
- matrixT - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
T matrix.
- MatrixUtils - Class in org.apache.commons.math3.linear
-
A collection of static methods that operate on or return matrices.
- MatrixUtils() - Constructor for class org.apache.commons.math3.linear.MatrixUtils
-
Private constructor.
- MatrixUtils.BigFractionMatrixConverter - Class in org.apache.commons.math3.linear
-
- MatrixUtils.BigFractionMatrixConverter() - Constructor for class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Simple constructor.
- MatrixUtils.FractionMatrixConverter - Class in org.apache.commons.math3.linear
-
- MatrixUtils.FractionMatrixConverter() - Constructor for class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Simple constructor.
- Max - Class in org.apache.commons.math3.analysis.function
-
Maximum function.
- Max() - Constructor for class org.apache.commons.math3.analysis.function.Max
-
- max - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Upper bound for the interval.
- max - Variable in exception org.apache.commons.math3.exception.MaxCountExceededException
-
Maximum number of evaluations.
- max - Variable in exception org.apache.commons.math3.exception.NumberIsTooLargeException
-
Higher bound.
- max(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- max(double[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- max - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Upper bound.
- max(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- max(double[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- max - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Max loaded value
- Max - Class in org.apache.commons.math3.stat.descriptive.rank
-
Returns the maximum of the available values.
- Max() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
-
Create a Max instance
- Max(Max) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
-
Copy constructor, creates a new Max identical
to the original
- max - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The maximum value
- max - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
max of values that have been added
- MAX - Static variable in class org.apache.commons.math3.stat.StatUtils
-
max
- max(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the maximum of the entries in the input array, or
Double.NaN if the array is empty.
- max(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the maximum of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- max(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- max(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- max(float, float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- max(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- MAX_CACHED_LEVELS - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Maximum number of partitioning pivots cached (each level double the number of pivots).
- MAX_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The maximum exponent before overflow is signaled and results flushed
to infinity
- MAX_ITERATIONS - Static variable in class org.apache.commons.math3.linear.SchurTransformer
-
Maximum allowed iterations for convergence of the transformation.
- maxCheckInterval - Variable in class org.apache.commons.math3.ode.events.EventState
-
Maximal time interval between events handler checks.
- maxChecks - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
maximal number of checks for each iteration.
- maxCountCallback - Variable in class org.apache.commons.math3.util.Incrementor
-
Function called at counter exhaustion.
- MaxCountExceededException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when some counter maximum value is exceeded.
- MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
-
Construct the exception.
- MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
-
Construct the exception with a specific context.
- MaxEval - Class in org.apache.commons.math3.optim
-
Maximum number of evaluations of the function to be optimized.
- MaxEval(int) - Constructor for class org.apache.commons.math3.optim.MaxEval
-
- maxEval - Variable in class org.apache.commons.math3.optim.MaxEval
-
Allowed number of evalutations.
- maxEvalIndex - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
- maxEvalIndex - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
- maxEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Maximal number of evaluations allowed.
- maxEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Maximal number of evaluations allowed.
- maxEvaluations - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Maximal number of evaluations allowed.
- maxGenerations - Variable in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Maximum number of generations (stopping criteria)
- maxGrowth - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Maximal growth factor for stepsize control.
- maxGrowth - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Maximal growth factor for stepsize control.
- MAXIMAL_AGING - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Maximal aging triggering an attempt to balance the bracketing interval.
- MAXIMAL_AGING - Static variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Maximal aging triggering an attempt to balance the bracketing interval.
- maximalCount - Variable in class org.apache.commons.math3.util.Incrementor
-
Upper limit for the counter.
- maximalOrder - Variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Maximal order.
- maximalOrder - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Maximal order.
- maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Maximum statistic implementation - can be reset by setter.
- maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Maximum statistic implementation - can be reset by setter.
- maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Maximum statistic implementation - can be reset by setter.
- maxIter - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Maximum number of iterations accepted in the implicit QL transformation
- maxIter - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
maximal number of iterations for which checks are performed.
- MaxIter - Class in org.apache.commons.math3.optim
-
Maximum number of iterations performed by an (iterative) algorithm.
- MaxIter(int) - Constructor for class org.apache.commons.math3.optim.MaxIter
-
- maxIter - Variable in class org.apache.commons.math3.optim.MaxIter
-
Allowed number of evalutations.
- maxIterationCount - Variable in class org.apache.commons.math3.ode.events.EventState
-
Upper limit in the iteration count for event localization.
- maxIterationCount - Variable in class org.apache.commons.math3.optim.SimplePointChecker
-
- maxIterationCount - Variable in class org.apache.commons.math3.optim.SimpleValueChecker
-
- maxIterationCount - Variable in class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
- maxIterationCount - Variable in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
- maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.
- maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.
- maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.
- maxIterationCount - Variable in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.
- maxIterations - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Maximum number of iterations for cumulative probability.
- maxIterations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Maximal number of iterations allowed.
- maxIterations - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Maximal number of iterations allowed.
- maxIterations - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Maximal number of iterations allowed.
- maxLogY - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
- maxOrder - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
maximal order.
- maxStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Maximal step.
- maxTimePeriod - Variable in class org.apache.commons.math3.genetics.FixedElapsedTime
-
Maximum allowed time period (in nanoseconds).
- maxUlps - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Amount of error to accept in floating point comparisons (as ulps).
- maxUlps - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Amount of error to accept in floating point comparisons.
- maxUlps - Variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Amount of error to accept in floating point comparisons (as ulps).
- maxUlps - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Amount of error to accept in floating point comparisons.
- mb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of M * b.
- mContext - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
Settings for enhanced precision computations.
- mdfft(Object, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
-
- mdfft(FastFourierTransformer.MultiDimensionalComplexMatrix, TransformType, int, int[]) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
-
- mean - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Mean.
- mean - Variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
The mean of this distribution.
- mean - Variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Mean of this distribution.
- mean - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Mean of the distribution.
- mean - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Mean.
- mean - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Mean.
- mean - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Mean vector.
- mean - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Mean vector.
- Mean - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the arithmetic mean of a set of values.
- Mean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Constructs a Mean.
- Mean(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Constructs a Mean with an External Moment.
- Mean(Mean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Copy constructor, creates a new Mean identical
to the original
- mean - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The sample mean
- mean - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
mean of values that have been added
- MEAN - Static variable in class org.apache.commons.math3.stat.StatUtils
-
mean
- mean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the arithmetic mean of the entries in the input array, or
Double.NaN if the array is empty.
- mean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the arithmetic mean of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- meanDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the mean of the (signed) differences between corresponding elements of the
input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
- meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Mean statistic implementation - can be reset by setter.
- meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Mean statistic implementation - can be reset by setter.
- meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Mean statistic implementation - can be reset by setter.
- means - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Vector of means.
- means - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Means for each component.
- meanX - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
the mean of variable x
- meanY - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
the mean of variable y
- measurementMatrix - Variable in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
The measurement matrix, used to associate the measurement vector to the
internal state estimation vector.
- measurementMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The measurement matrix, equivalent to H.
- measurementMatrixT - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The transposed measurement matrix.
- measurementModel - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The measurement model used by this filter instance.
- MeasurementModel - Interface in org.apache.commons.math3.filter
-
Defines the measurement model for the use with a
KalmanFilter.
- measurementNoise - Variable in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
The measurement noise covariance matrix.
- median - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
The median of this distribution.
- Median - Class in org.apache.commons.math3.stat.descriptive.rank
-
Returns the median of the available values.
- Median() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
-
Default constructor.
- Median(Median) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
-
Copy constructor, creates a new Median identical
to the original
- medianOf3(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Select a pivot index as the median of three
- mem - Variable in class org.apache.commons.math3.random.ISAACRandom
-
The internal state
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.LeafMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree.LeafMerger<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Merge a BSP tree with the instance.
- merge(BSPTree<S>, BSPTree.LeafMerger<S>, BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Merge a BSP tree with the instance.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.IntersectionMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.UnionMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.XorMerger
-
Merge a leaf node and a tree node.
- merge(List<T>, List<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Merges two lists together.
- merge(Frequency) - Method in class org.apache.commons.math3.stat.Frequency
-
Merge another Frequency object's counts into this instance.
- merge(Collection<Frequency>) - Method in class org.apache.commons.math3.stat.Frequency
-
Merge a
Collection of
Frequency objects into this instance.
- MersenneTwister - Class in org.apache.commons.math3.random
-
This class implements a powerful pseudo-random number generator
developed by Makoto Matsumoto and Takuji Nishimura during
1996-1997.
- MersenneTwister() - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator.
- MersenneTwister(int) - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator using a single int seed.
- MersenneTwister(int[]) - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator using an int array seed.
- MersenneTwister(long) - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator using a single long seed.
- method - Variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
The Secant-based root-finding method to use.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Integrator method name.
- microsphere - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Internal accounting data for the interpolation algorithm.
- microsphereElements - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Number of surface elements of the microsphere.
- MicrosphereInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
-
- MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
- MicrosphereInterpolatingFunction.MicrosphereSurfaceElement - Class in org.apache.commons.math3.analysis.interpolation
-
Class for storing the accounting data needed to perform the
microsphere projection.
- MicrosphereInterpolatingFunction.MicrosphereSurfaceElement(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
- MicrosphereInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Interpolator that implements the algorithm described in
William Dudziak's
MS thesis.
- MicrosphereInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Create a microsphere interpolator with default settings.
- MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Create a microsphere interpolator.
- mid - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Point inside the bracket.
- mid - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
Point inside the bracket.
- midpoint(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Compute the midpoint of two values.
- MidpointIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a second order Runge-Kutta integrator for
Ordinary Differential Equations.
- MidpointIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Simple constructor.
- MidpointStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for second order
Runge-Kutta integrator.
- MidpointStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Simple constructor.
- MidpointStepInterpolator(MidpointStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Copy constructor.
- MillerUpdatingRegression - Class in org.apache.commons.math3.stat.regression
-
- MillerUpdatingRegression() - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Set the default constructor to private access
to prevent inadvertent instantiation
- MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
This is the augmented constructor for the MillerUpdatingRegression class.
- MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Primary constructor for the MillerUpdatingRegression.
- Min - Class in org.apache.commons.math3.analysis.function
-
Minimum function.
- Min() - Constructor for class org.apache.commons.math3.analysis.function.Min
-
- min - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Lower bound for the interval.
- min - Variable in exception org.apache.commons.math3.exception.NumberIsTooSmallException
-
Higher bound.
- min(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- min(double[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- min - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Lower bound.
- min(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- min(double[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- min - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Min loaded value
- Min - Class in org.apache.commons.math3.stat.descriptive.rank
-
Returns the minimum of the available values.
- Min() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
-
Create a Min instance
- Min(Min) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
-
Copy constructor, creates a new Min identical
to the original
- min - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The minimum value
- min - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
min of values that have been added
- MIN - Static variable in class org.apache.commons.math3.stat.StatUtils
-
min
- min(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the minimum of the entries in the input array, or
Double.NaN if the array is empty.
- min(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the minimum of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- min(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- min(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- min(float, float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- min(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- MIN_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The minimum exponent before underflow is signaled.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Minimum relative tolerance.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Minimum relative tolerance.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
Minimum relative tolerance.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.
Minimum relative tolerance.
- MIN_SELECT_SIZE - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Minimum size under which we use a simple insertion sort rather than Hoare's select.
- minimalIterationCount - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
minimum number of iterations
- minImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Minimum statistic implementation - can be reset by setter.
- minImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Minimum statistic implementation - can be reset by setter.
- minImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Minimum statistic implementation - can be reset by setter.
- MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Minimum dimension of the problem: 2
- MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
Minimum dimension of the problem: 2
- minPts - Variable in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Minimum number of points needed for a cluster.
- minReduction - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Minimal reduction factor for stepsize control.
- minReduction - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Minimal reduction factor for stepsize control.
- minStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Minimal step.
- Minus - Class in org.apache.commons.math3.analysis.function
-
Minus function.
- Minus() - Constructor for class org.apache.commons.math3.analysis.function.Minus
-
- minus - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Tree at the minus side of the cut hyperplane.
- minus - Variable in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Part of the sub-hyperplane on the minus side of the splitting hyperplane.
- MINUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Opposite of the first canonical vector (coordinates: -1, 0, 0).
- MINUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Opposite of the second canonical vector (coordinates: 0, -1, 0).
- MINUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Opposite of the third canonical vector (coordinates: 0, 0, -1).
- MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "-1 / 1".
- MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "-1 / 1".
- MINUS_ONE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- MINUS_ONE - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- minusEpsZeta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of (-eps[k+1] * zeta[k-1]).
- minusFound - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
-
Indicator of inside leaf nodes found on the plus side.
- minusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
-
Check if inside leaf nodes have been found on the minus side.
- minusOne - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
The number -1.
- minY - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
- missingEntries - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Return value for missing entries.
- missingEntries - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Return value for missing entries.
- MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math3.distribution
-
- MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Creates a mixture model from a list of distributions and their
associated weights.
- MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Creates a mixture model from a list of distributions and their
associated weights.
- mode - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
The step normalizer mode to use.
- mode - Variable in class org.apache.commons.math3.random.ValueServer
-
mode determines how values are generated.
- model - Variable in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
-
Function to be optimized.
- model - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Model function.
- ModelFunction - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Model (vector) function to be optimized.
- ModelFunction(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
-
- ModelFunctionJacobian - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Jacobian of the model (vector) function to be optimized.
- ModelFunctionJacobian(MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
-
- modelSecondDerivativesParameters - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Parameters of the implicit second derivatives of the quadratic model.
- modelSecondDerivativesParameters - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
Parameters of the implicit second derivatives of the quadratic model.
- modelSecondDerivativesValues - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Explicit second derivatives of the quadratic model.
- modelSecondDerivativesValues - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
Explicit second derivatives of the quadratic model.
- ModelSpecificationException - Exception in org.apache.commons.math3.stat.regression
-
Exception thrown when a regression model is not correctly specified.
- ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.stat.regression.ModelSpecificationException
-
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Fourth Moment on which this statistic is based
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
First moment on which this statistic is based.
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Third moment on which this statistic is based
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
SecondMoment is used in incremental calculation of Variance
- MSE_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Mean Squared Error
- msgArguments - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Various informations that enrich the informative message.
- msgPatterns - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Various informations that enrich the informative message.
- mt - Variable in class org.apache.commons.math3.random.MersenneTwister
-
Bytes pool.
- mti - Variable in class org.apache.commons.math3.random.MersenneTwister
-
Current index in the bytes pool.
- mu - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of parents/points for recombination.
- mu - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Number of parents/points for recombination.
- mu - Variable in class org.apache.commons.math3.random.ValueServer
-
Mean for use with non-data-driven modes.
- mudif - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
interpolation order control parameter.
- mueff - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Variance-effectiveness of sum w_i x_i.
- mueff - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Variance-effectiveness of sum w_i x_i.
- mulAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Multiply two integers, checking for overflow.
- mulAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Multiply two long integers, checking for overflow.
- MullerSolver - Class in org.apache.commons.math3.analysis.solvers
-
This class implements the
Muller's Method for root finding of real univariate functions.
- MullerSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Construct a solver with default accuracy (1e-6).
- MullerSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Construct a solver.
- MullerSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Construct a solver.
- MullerSolver2 - Class in org.apache.commons.math3.analysis.solvers
-
This class implements the
Muller's Method for root finding of real univariate functions.
- MullerSolver2() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Construct a solver with default accuracy (1e-6).
- MullerSolver2(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Construct a solver.
- MullerSolver2(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Construct a solver.
- multiDimensionalComplexArray - Variable in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
Storage array.
- MultidimensionalCounter - Class in org.apache.commons.math3.util
-
Converter between unidimensional storage structure and multidimensional
conceptual structure.
- MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter
-
Create a counter.
- MultidimensionalCounter.Iterator - Class in org.apache.commons.math3.util
-
Perform iteration over the multidimensional counter.
- MultidimensionalCounter.Iterator() - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Create an iterator
- MultiDimensionMismatchException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when two sets of dimensions differ.
- MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- MultiDirectionalSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements the multi-directional direct search method.
- MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.
Build a multi-directional simplex with specified coefficients.
- multIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Indirection arrays for multiplication.
- MultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
-
The multiple linear regression can be represented in matrix-notation.
- MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
- multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute n × this.
- multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'×' operator.
- multiply(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'×' operator.
- multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform multiplication of two derivative structures.
- Multiply - Class in org.apache.commons.math3.analysis.function
-
Multiply the two operands.
- Multiply() - Constructor for class org.apache.commons.math3.analysis.function.Multiply
-
- multiply(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Multiplies functions.
- multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Multiplies functions.
- multiply(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
- multiply(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Multiply the instance by a polynomial.
- multiply(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is this * factor.
- multiply(int) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is this * factor, with factor
interpreted as a integer number.
- multiply(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is this * factor, with factor
interpreted as a real number.
- multiply(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Returns the Hamilton product of two quaternions.
- multiply(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the Hamilton product of the instance by a quaternion.
- multiply(double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Multiplies the instance by a scalar.
- multiply(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Multiply this by x.
- multiply(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Multiply this by a single digit x.
- multiply(int) - Method in interface org.apache.commons.math3.FieldElement
-
Compute n × this.
- multiply(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this × a.
- multiply(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiplies the value of this fraction by the passed
BigInteger, returning the result in reduced form.
- multiply(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiply the value of this fraction by the passed int, returning
the result in reduced form.
- multiply(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiply the value of this fraction by the passed long,
returning the result in reduced form.
- multiply(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiplies the value of this fraction by another, returning the result in
reduced form.
- multiply(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Multiplies the value of this fraction by another, returning the
result in reduced form.
- multiply(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Multiply the fraction by an integer.
- multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Postmultiply this matrix by m.
- multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of postmultiplying this by m.
- multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Postmultiplying this matrix by m.
- multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the result of postmultiplying this by m.
- multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Postmultiply this matrix by m.
- multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the result of postmultiplying this by m.
- multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of postmultiplying this by m.
- multiply(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of postmultiplying this by m.
- multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Postmultiply this matrix by m.
- multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Returns the result of postmultiplying this by m.
- multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Postmultiply this matrix by m.
- multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of postmultiplying this by m.
- multiply(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this × a.
- multiply(int) - Method in class org.apache.commons.math3.util.BigReal
-
Compute n × this.
- multiply(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this × a.
- multiply(int) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute n × this.
- MULTIPLY_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by multiplication.
- multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Multiplies (in place) the specified entry of this matrix by the
specified value.
- multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Multiplies (in place) the specified entry of this matrix by the
specified value.
- multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Multiplies (in place) the specified entry of this matrix by the
specified value.
- multiplyEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Multiplies (in place) the specified entry of this matrix by the
specified value.
- multiplyEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Multiplies (in place) the specified entry of this matrix by the
specified value.
- multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Change an entry in the specified row and column.
- multiplyFast(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Multiply this by a single digit 0<=x<radix.
- MultiStartMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Multi-start optimizer.
- MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Create a multi-start optimizer from a single-start optimizer.
- MultiStartMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Multi-start optimizer for a (vector) model function.
- MultiStartMultivariateVectorOptimizer(MultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Create a multi-start optimizer from a single-start optimizer.
- MultiStartUnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
-
Special implementation of the
UnivariateOptimizer interface
adding multi-start features to an existing optimizer.
- MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Create a multi-start optimizer from a single-start optimizer.
- MultistepIntegrator - Class in org.apache.commons.math3.ode
-
This class is the base class for multistep integrators for Ordinary
Differential Equations.
- MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
-
Build a multistep integrator with the given stepsize bounds.
- MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
-
Build a multistep integrator with the given stepsize bounds.
- MultistepIntegrator.CountingDifferentialEquations - Class in org.apache.commons.math3.ode
-
Wrapper for differential equations, ensuring start evaluations are counted.
- MultistepIntegrator.CountingDifferentialEquations(int) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
-
Simple constructor.
- MultistepIntegrator.InitializationCompletedMarkerException - Exception in org.apache.commons.math3.ode
-
Marker exception used ONLY to stop the starter integrator after first step.
- MultistepIntegrator.InitializationCompletedMarkerException() - Constructor for exception org.apache.commons.math3.ode.MultistepIntegrator.InitializationCompletedMarkerException
-
Simple constructor.
- MultistepIntegrator.NordsieckInitializer - Class in org.apache.commons.math3.ode
-
Specialized step handler storing the first step.
- MultistepIntegrator.NordsieckInitializer(int, int) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
Simple constructor.
- MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math3.ode
-
Transformer used to convert the first step to Nordsieck representation.
- MultivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
-
- MultivariateDifferentiableMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableMultiStartOptimizer
-
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
- MultivariateDifferentiableOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
-
- MultivariateDifferentiableVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateDifferentiableVectorMultiStartOptimizer(MultivariateDifferentiableVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableVectorMultiStartOptimizer
-
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
- MultivariateDifferentiableVectorOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a multivariate real function.
- MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
- MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Simple constructor.
- MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.
Simple constructor.
- MultivariateFunctionMappingAdapter.LowerBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for lower bounds mapping.
- MultivariateFunctionMappingAdapter.LowerBoundMapper(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Simple constructor.
- MultivariateFunctionMappingAdapter.LowerBoundMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Local class for lower bounds mapping.
- MultivariateFunctionMappingAdapter.LowerBoundMapper(double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Deprecated.
Simple constructor.
- MultivariateFunctionMappingAdapter.LowerUpperBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for lower and bounds mapping.
- MultivariateFunctionMappingAdapter.LowerUpperBoundMapper(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Simple constructor.
- MultivariateFunctionMappingAdapter.LowerUpperBoundMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Local class for lower and bounds mapping.
- MultivariateFunctionMappingAdapter.LowerUpperBoundMapper(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Deprecated.
Simple constructor.
- MultivariateFunctionMappingAdapter.Mapper - Interface in org.apache.commons.math3.optim.nonlinear.scalar
-
Mapping interface.
- MultivariateFunctionMappingAdapter.Mapper - Interface in org.apache.commons.math3.optimization.direct
-
Deprecated.
Mapping interface.
- MultivariateFunctionMappingAdapter.NoBoundsMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for no bounds mapping.
- MultivariateFunctionMappingAdapter.NoBoundsMapper() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.NoBoundsMapper
-
- MultivariateFunctionMappingAdapter.NoBoundsMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Local class for no bounds mapping.
- MultivariateFunctionMappingAdapter.NoBoundsMapper() - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.NoBoundsMapper
-
Deprecated.
Simple constructor.
- MultivariateFunctionMappingAdapter.UpperBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for upper bounds mapping.
- MultivariateFunctionMappingAdapter.UpperBoundMapper(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Simple constructor.
- MultivariateFunctionMappingAdapter.UpperBoundMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Local class for upper bounds mapping.
- MultivariateFunctionMappingAdapter.UpperBoundMapper(double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Deprecated.
Simple constructor.
- MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
- MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Simple constructor.
- MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.
Simple constructor.
- MultivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
-
Interface representing a univariate real interpolating function.
- MultivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a multivariate matrix function.
- MultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateMultiStartOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateMultiStartOptimizer
-
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
- MultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the multivariate normal (Gaussian) distribution.
- MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Creates a multivariate normal distribution with the given mean vector and
covariance matrix.
- MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Creates a multivariate normal distribution with the given mean vector and
covariance matrix.
- MultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Base class for a multivariate scalar function optimizer.
- MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
- MultivariateOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- MultivariateRealDistribution - Interface in org.apache.commons.math3.distribution
-
Base interface for multivariate distributions on the reals.
- MultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Computes summary statistics for a stream of n-tuples added using the
addValue method.
- MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Construct a MultivariateSummaryStatistics instance
- MultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a multivariate vectorial function.
- MultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Base class for a multivariate vector function optimizer.
- MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
- mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryMutation
-
Mutate the given chromosome.
- mutate(Chromosome) - Method in interface org.apache.commons.math3.genetics.MutationPolicy
-
Mutate the given chromosome.
- mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKeyMutation
-
Mutate the given chromosome.
- mutationPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the mutation policy used by the algorithm.
- MutationPolicy - Interface in org.apache.commons.math3.genetics
-
Algorithm used to mutate a chromosome.
- mutationRate - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the rate of mutation for the algorithm.
- N - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Number of points.
- N - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
-
Number of points.
- n - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Number of spline segments.
- n - Variable in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Number of observations.
- n - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
min(row dimension, column dimension).
- N - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
Size of the bytes pool.
- n - Variable in class org.apache.commons.math3.stat.correlation.Covariance
-
Number of observations (length of covariate vectors)
- n - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
number of observations
- n - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Count of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Number of vectors in the sample.
- n - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Count of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The number of observations in the sample
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.Product
-
The number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
- n - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
count of values that have been added
- n - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
number of observations
- name - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Name of the rotations order.
- name - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Name of the method.
- name - Variable in exception org.apache.commons.math3.ode.UnknownParameterException
-
Parameter name.
- NaN - Static variable in class org.apache.commons.math3.complex.Complex
-
A complex number representing "NaN + NaNi"
- NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
A vector with all coordinates set to NaN.
- NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
A vector with all coordinates set to NaN.
- NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
A vector with all coordinates set to NaN.
- nan - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Not A Number marker.
- NAN - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of Double.NaN as a Decimal64.
- NAN_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
-
String for NaN representation.
- nans - Variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator for non-finite / non-number values.
- NaNStrategy - Enum in org.apache.commons.math3.stat.ranking
-
Strategies for handling NaN values in rank transformations.
- NaNStrategy() - Constructor for enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
- nanStrategy - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
NaN strategy - defaults to NaNs maximal
- naturalRanking - Variable in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Ranking algorithm.
- naturalRanking - Variable in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Ranking algorithm.
- NaturalRanking - Class in org.apache.commons.math3.stat.ranking
-
Ranking based on the natural ordering on doubles.
- NaturalRanking() - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with default strategies for handling ties and NaNs.
- NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given TiesStrategy.
- NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given NaNStrategy.
- NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
- NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with TiesStrategy.RANDOM and the given
RandomGenerator as the source of random data.
- NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM
and the given source of random data.
- NaturalRanking.IntDoublePair - Class in org.apache.commons.math3.stat.ranking
-
Represents the position of a double value in an ordering.
- NaturalRanking.IntDoublePair(double, int) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Construct an IntDoublePair with the given value and position.
- nbPoints - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Number of points to use.
- nDev - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Deviation of most recently added value from previous first moment,
normalized by previous sample size.
- nDevSq - Variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Square of deviation of most recently added value from previous first
moment, normalized by previous sample size.
- NEG_INFINITY_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
-
String for negative infinity representation.
- negate() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
unary '-' operator.
- negate() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Negate the instance.
- negate() - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is (-this).
- negate() - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns a number that is this number with the sign bit reversed.
- negate() - Method in interface org.apache.commons.math3.FieldElement
-
Returns the additive inverse of this element.
- negate() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Return the additive inverse of this fraction, returning the result in
reduced form.
- negate() - Method in class org.apache.commons.math3.fraction.Fraction
-
Return the additive inverse of this fraction.
- negate() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the opposite of the instance.
- negate() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.util.BigReal
-
Returns the additive inverse of this element.
- negate() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns the additive inverse of this element.
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
A vector with all coordinates set to negative infinity.
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
A vector with all coordinates set to negative infinity.
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
A vector with all coordinates set to negative infinity.
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of Double.NEGATIVE_INFINITY as a
Decimal64.
- NEGATIVE_VAR_COLUMN_LABEL - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Column label for negative vars.
- NEGATIVE_VAR_COLUMN_LABEL - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Column label for negative vars.
- negativeOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is less than or equal to 0.
- negInf - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Negative infinity marker.
- NelderMeadSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements the Nelder-Mead simplex algorithm.
- NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
- NestedLoops - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represent a tree of nested 2D boundary loops.
- NestedLoops() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Simple Constructor.
- NestedLoops(Vector2D[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Constructor.
- NevilleInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
- NevilleInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
-
- NEW_INSTANCE_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by newInstance.
- newCovarianceData(double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Add the covariance data.
- newDfp() - Method in class org.apache.commons.math3.dfp.DfpField
-
Makes a
Dfp with a value of 0.
- newDfp(byte) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from a byte value.
- newDfp(int) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from an int value.
- newDfp(long) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from a long value.
- newDfp(double) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from a double value.
- newDfp(Dfp) - Method in class org.apache.commons.math3.dfp.DfpField
-
Copy constructor.
- newDfp(String) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create a
Dfp given a String representation.
- newDfp(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpField
-
Creates a
Dfp with a non-finite value.
- newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Creates a new instance of the same class as this is, with a given arrayRepresentation.
- newInstance() - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance with a value of 0.
- newInstance(byte) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a byte value.
- newInstance(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from an int value.
- newInstance(long) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a long value.
- newInstance(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a double value.
- newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance by copying an existing one.
- newInstance(String) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a String representation.
- newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.Dfp
-
Creates an instance with a non-finite value.
- newInstance() - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance with a value of 0.
- newInstance(byte) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a byte value.
- newInstance(int) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from an int value.
- newInstance(long) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a long value.
- newInstance(double) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a double value.
- newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance by copying an existing one.
- newInstance(String) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a String representation.
- newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Creates an instance with a non-finite value.
- newPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- newPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- newPointAndDirection(double[], double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Compute a new point (in the original space) and a new direction
vector, resulting from the line search.
- newPointAndDirection(double[], double[], double) - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
Compute a new point (in the original space) and a new direction
vector, resulting from the line search.
- newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Loads model x and y sample data from a flat input array, overriding any previous sample.
- newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Replace sample data, overriding any previous sample.
- newSampleData(double[], double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Loads model x and y sample data, overriding any previous sample.
- newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Loads model x and y sample data from a flat input array, overriding any previous sample.
- NewtonRaphsonSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements
Newton's Method for finding zeros of real univariate differentiable
functions.
- NewtonRaphsonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Construct a solver.
- NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Construct a solver.
- NewtonSolver - Class in org.apache.commons.math3.analysis.solvers
-
- NewtonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.
Construct a solver.
- NewtonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.
Construct a solver.
- newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Loads new x sample data, overriding any previous data.
- newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Loads new x sample data, overriding any previous data.
- newYSampleData(double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Loads new y sample data, overriding any previous data.
- next() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
-
Deprecated.
- next - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Deprecated.
- next() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Deprecated.
- next(int) - Method in class org.apache.commons.math3.random.AbstractWell
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well1024a
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well19937a
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well19937c
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well44497a
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well44497b
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well512a
-
Generate next pseudorandom number.
- next() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
- next - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Index of next element.
- next - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Index of next element.
- NEXT_AFTER_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by nextAfter.
- nextAction - Variable in class org.apache.commons.math3.ode.events.EventState
-
Next action indicator.
- nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the next number greater than this one in the direction of x.
- nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Returns the next number greater than this one in the direction of x.
- nextAfter(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the next machine representable number after a number, moving
in the direction of another number.
- nextAfter(float, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the next machine representable number after a number, moving
in the direction of another number.
- nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextBoolean() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence.
- nextBoolean() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence.
- nextBoolean() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence.
- nextBoolean() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence.
- nextBoolean() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence.
- nextBytes(byte[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Generates random bytes and places them into a user-supplied
byte array.
- nextBytes(byte[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Generates random bytes and places them into a user-supplied
byte array.
- nextBytes(byte[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Generates random bytes and places them into a user-supplied
byte array.
- nextBytes(byte[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Generates random bytes and places them into a user-supplied
byte array.
- nextBytes(byte[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Generates random bytes and places them into a user-supplied
byte array.
- nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextDouble() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence.
- nextDouble() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence.
- nextDouble() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence.
- nextDouble() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence.
- nextDouble() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence.
- nextExponential(double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a random value from the exponential distribution
with specified mean.
- nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the exponential distribution
with specified mean.
- nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a random value from the exponential distribution
with specified mean.
- nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextFloat() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this random
number generator's sequence.
- nextFloat() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this random
number generator's sequence.
- nextFloat() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this random
number generator's sequence.
- nextFloat() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this random
number generator's sequence.
- nextFloat() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this random
number generator's sequence.
- nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextGaussian() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double value with mean 0.0 and standard
deviation 1.0 from this random number generator's sequence.
- nextGaussian - Variable in class org.apache.commons.math3.random.BitsStreamGenerator
-
Next gaussian.
- nextGaussian() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double value with mean 0.0 and standard
deviation 1.0 from this random number generator's sequence.
- nextGaussian() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double value with mean 0.0 and standard
deviation 1.0 from this random number generator's sequence.
- nextGaussian(double, double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a random value from the Normal (or Gaussian) distribution with
specified mean and standard deviation.
- nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the Normal (or Gaussian) distribution with
specified mean and standard deviation.
- nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a random value from the Normal (or Gaussian) distribution with
specified mean and standard deviation.
- nextGaussian() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double value with mean 0.0 and standard
deviation 1.0 from this random number generator's sequence.
- nextGaussian() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double value with mean 0.0 and standard
deviation 1.0 from this random number generator's sequence.
- nextGeneration() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Start the population for the next generation.
- nextGeneration(Population) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Evolve the given population into the next generation.
- nextGeneration() - Method in interface org.apache.commons.math3.genetics.Population
-
Start the population for the next generation.
- nextHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a random string of hex characters of length len.
- nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random string of hex characters of length len.
- nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a random string of hex characters of length len.
- nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextIndex(int, int) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Computes the next index of an array, clipping if necessary.
- nextIndex(int, int) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
-
Compute the next index of an array, clipping if necessary.
- nextInt() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed int
value from this random number generator's sequence.
- nextInt(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value (exclusive), drawn from
this random number generator's sequence.
- nextInt() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed int
value from this random number generator's sequence.
- nextInt(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value (exclusive), drawn from
this random number generator's sequence.
- nextInt() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed int
value from this random number generator's sequence.
- nextInt(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value (exclusive), drawn from
this random number generator's sequence.
- nextInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a uniformly distributed random integer between lower
and upper (endpoints included).
- nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random integer between lower
and upper (endpoints included).
- nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a uniformly distributed random integer between lower
and upper (endpoints included).
- nextInt() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed int
value from this random number generator's sequence.
- nextInt(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value (exclusive), drawn from
this random number generator's sequence.
- nextInt() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed int
value from this random number generator's sequence.
- nextInt(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value (exclusive), drawn from
this random number generator's sequence.
- nextInversionDeviate(RealDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
use the distribution's sample() method
- nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
use the distribution's sample() method
- nextLong() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed long
value from this random number generator's sequence.
- nextLong() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed long
value from this random number generator's sequence.
- nextLong() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed long
value from this random number generator's sequence.
- nextLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a uniformly distributed random long integer between
lower and upper (endpoints included).
- nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random long integer between
lower and upper (endpoints included).
- nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a uniformly distributed random long integer between
lower and upper (endpoints included).
- nextLong() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed long
value from this random number generator's sequence.
- nextLong() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed long
value from this random number generator's sequence.
- nextNonzero(double[], int) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Return the smallest index j such that
j > i && (j == weights.length || weights[j] != 0).
- nextNormalizedDouble() - Method in class org.apache.commons.math3.random.GaussianRandomGenerator
-
Generate a random scalar with null mean and unit standard deviation.
- nextNormalizedDouble() - Method in interface org.apache.commons.math3.random.NormalizedRandomGenerator
-
Generate a random scalar with null mean and unit standard deviation.
- nextNormalizedDouble() - Method in class org.apache.commons.math3.random.StableRandomGenerator
-
Generate a random scalar with zero location and unit scale.
- nextNormalizedDouble() - Method in class org.apache.commons.math3.random.UniformRandomGenerator
-
Generate a random scalar with null mean and unit standard deviation.
- nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextPermutation(int, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates an integer array of length k whose entries are selected
randomly, without repetition, from the integers 0, ..., n - 1
(inclusive).
- nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates an integer array of length k whose entries are selected
randomly, without repetition, from the integers 0, ..., n - 1
(inclusive).
- nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates an integer array of length k whose entries are selected
randomly, without repetition, from the integers 0, ..., n - 1
(inclusive).
- nextPoisson(double) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
- nextPoisson(double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a random value from the Poisson distribution with the given
mean.
- nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the Poisson distribution with the given
mean.
- nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a random value from the Poisson distribution with the given
mean.
- nextPowerOfTwo(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Find the smallest power of two greater than the input value
- nextPowerOfTwo(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Find the smallest power of two greater than the input value
- nextSample(Collection<?>, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Returns an array of k objects selected randomly from the
Collection c.
- nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns an array of k objects selected randomly from the
Collection c.
- nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Returns an array of k objects selected randomly from the
Collection c.
- nextSecureHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a random string of hex characters from a secure random
sequence.
- nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random string of hex characters from a secure random
sequence.
- nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a random string of hex characters from a secure random
sequence.
- nextSecureInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a uniformly distributed random integer between lower
and upper (endpoints included) from a secure random sequence.
- nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random integer between lower
and upper (endpoints included) from a secure random sequence.
- nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a uniformly distributed random integer between lower
and upper (endpoints included) from a secure random sequence.
- nextSecureLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a uniformly distributed random long integer between
lower and upper (endpoints included) from a secure random
sequence.
- nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random long integer between
lower and upper (endpoints included) from a secure random
sequence.
- nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a uniformly distributed random long integer between
lower and upper (endpoints included) from a secure random
sequence.
- nextT(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextUniform(double, double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a uniformly distributed random value from the open interval
(lower, upper) (i.e., endpoints excluded).
- nextUniform(double, double, boolean) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.
Generates a uniformly distributed random value from the interval
(lower, upper) or the interval [lower, upper).
- nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random value from the open interval
(lower, upper) (i.e., endpoints excluded).
- nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random value from the interval
(lower, upper) or the interval [lower, upper).
- nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a uniformly distributed random value from the open interval
(lower, upper) (i.e., endpoints excluded).
- nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Generates a uniformly distributed random value from the interval
(lower, upper) or the interval [lower, upper).
- nextUp(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute next number towards positive infinity.
- nextUp(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute next number towards positive infinity.
- nextVector() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Generate a correlated random vector.
- nextVector() - Method in interface org.apache.commons.math3.random.RandomVectorGenerator
-
Generate a random vector.
- nextVector() - Method in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Generate an uncorrelated random vector.
- nextVector() - Method in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
-
Generate a random vector.
- nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- NO_FITNESS - Static variable in class org.apache.commons.math3.genetics.Chromosome
-
Value assigned when no fitness has been computed yet.
- NoBracketingException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when function values have the same sign at both
ends of an interval.
- NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
-
Construct the exception.
- NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
-
Construct the exception with a specific context.
- nObs - Variable in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
number of observations
- nobs - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
number of observations entered
- nobs - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
number of observations on which results are based
- NoDataException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when the required data is missing.
- NoDataException() - Constructor for exception org.apache.commons.math3.exception.NoDataException
-
Construct the exception.
- NoDataException(Localizable) - Constructor for exception org.apache.commons.math3.exception.NoDataException
-
Construct the exception with a specific context.
- node - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Node whose cut hyperplane contains this edge.
- nodeCleaner - Variable in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Visitor removing internal nodes attributes.
- NoFeasibleSolutionException - Exception in org.apache.commons.math3.optim.linear
-
This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
- NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
-
Simple constructor using a default message.
- NoFeasibleSolutionException - Exception in org.apache.commons.math3.optimization.linear
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
-
Deprecated.
Simple constructor using a default message.
- noIntercept - Variable in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Whether or not the regression model includes an intercept.
- NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Non-linear conjugate gradient optimizer.
- NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
- NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
- NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
- NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
- NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
- NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
- NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
- NonLinearConjugateGradientOptimizer.BracketingStep - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
The initial step is a factor with respect to the search direction
(which itself is roughly related to the gradient of the function).
- NonLinearConjugateGradientOptimizer.BracketingStep(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
-
- NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Available choices of update formulas for the updating the parameter
that is used to compute the successive conjugate search directions.
- NonLinearConjugateGradientOptimizer.Formula() - Constructor for enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
-
- NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Default identity preconditioner.
- NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
-
- NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optimization.general
-
Deprecated.
Default identity preconditioner.
- NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
-
Deprecated.
- NonLinearConjugateGradientOptimizer.LineSearchFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Internal class for line search.
- NonLinearConjugateGradientOptimizer.LineSearchFunction(double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
- NonLinearConjugateGradientOptimizer.LineSearchFunction - Class in org.apache.commons.math3.optimization.general
-
Deprecated.
Internal class for line search.
- NonLinearConjugateGradientOptimizer.LineSearchFunction(double[]) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Deprecated.
Simple constructor.
- NonMonotonicSequenceException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when the a sequence of values is not monotonically
increasing or decreasing.
- NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Construct the exception.
- NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Construct the exception.
- nonNegative - Variable in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Whether to restrict the variables to non-negative values.
- nonNegative - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Whether to restrict the variables to non-negative values.
- NonNegativeConstraint - Class in org.apache.commons.math3.optim.linear
-
A constraint for a linear optimization problem indicating whether all
variables must be restricted to non-negative values.
- NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math3.optim.linear.NonNegativeConstraint
-
- NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when a positive definite matrix is expected.
- NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
Construct an exception.
- NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when a symmetric, definite positive
RealLinearOperator is expected.
- NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
-
Creates a new instance of this class.
- NonSelfAdjointOperatorException - Exception in org.apache.commons.math3.linear
-
- NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException
-
Creates a new instance of this class.
- nonSerializableReplacement(Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Replaces a non-serializable object with an error message string.
- nonSingular - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Singularity indicator.
- NonSquareMatrixException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when a square matrix is expected.
- NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareMatrixException
-
Construct an exception from the mismatched dimensions.
- NonSquareOperatorException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when a square linear operator is expected.
- NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareOperatorException
-
Construct an exception from the mismatched dimensions.
- NonSymmetricMatrixException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when a symmetric matrix is expected.
- NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Construct an exception.
- nordsieck - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Nordsieck matrix of the higher scaled derivatives.
- nordsieck - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Nordsieck vector.
- NordsieckStepInterpolator - Class in org.apache.commons.math3.ode.sampling
-
This class implements an interpolator for integrators using Nordsieck representation.
- NordsieckStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Simple constructor.
- NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Copy constructor.
- norm - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Normalization factor.
- norm - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Normalization factor.
- norm - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Normalization factor.
- normal - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Normal vector characterizing a surface element.
- normal() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Return the normal vector.
- normal - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Distribution used to compute normal approximation.
- normalApproximateProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Calculates the Poisson distribution function using a normal
approximation.
- NormalDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the normal (gaussian) distribution.
- NormalDistribution() - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Create a normal distribution with mean equal to zero and standard
deviation equal to one.
- NormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Create a normal distribution using the given mean and standard deviation.
- NormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Create a normal distribution using the given mean, standard deviation and
inverse cumulative distribution accuracy.
- NormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Creates a normal distribution.
- normalization - Variable in class org.apache.commons.math3.transform.FastCosineTransformer
-
The type of DCT to be performed.
- normalization - Variable in class org.apache.commons.math3.transform.FastFourierTransformer
-
The type of DFT to be performed.
- normalization - Variable in class org.apache.commons.math3.transform.FastSineTransformer
-
The type of DST to be performed.
- normalize() - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the normalized quaternion (the versor of the instance).
- normalize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get a normalized vector aligned with the instance.
- normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get a normalized vector aligned with the instance.
- normalize() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get a normalized vector aligned with the instance.
- normalize() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get a normalized vector aligned with the instance.
- normalize(LinearConstraint) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get a new equation equivalent to this one with a positive right hand side.
- normalize(LinearConstraint) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get a new equation equivalent to this one with a positive right hand side.
- normalize(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.
- normalizeAngle(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Normalize an angle in a 2&pi wide interval around a center value.
- normalizeArray(double[], double) - Static method in class org.apache.commons.math3.util.MathArrays
-
Normalizes an array to make it sum to a specified value.
- normalizeConstraints(Collection<LinearConstraint>) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get new versions of the constraints which have positive right hand sides.
- normalizeConstraints(Collection<LinearConstraint>) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Get new versions of the constraints which have positive right hand sides.
- normalized - Variable in class org.apache.commons.math3.analysis.function.Sinc
-
For normalized sinc function.
- normalized - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Storage for the normalized vector.
- NormalizedRandomGenerator - Interface in org.apache.commons.math3.random
-
This interface represent a normalized random generator for
scalars.
- normalizeTransformedData(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Applies the proper normalization to the specified transformed data.
- normps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Norm of ps, stored for efficiency.
- normps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Norm of ps, stored for efficiency.
- NotANumberException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when a number is not a number.
- NotANumberException() - Constructor for exception org.apache.commons.math3.exception.NotANumberException
-
Construct the exception.
- NotARotationMatrixException - Exception in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents exceptions thrown while building rotations
from matrices.
- NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
-
Simple constructor.
- NotFiniteNumberException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when a number is not finite.
- NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
-
Construct the exception.
- NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
-
Construct the exception with a specific context.
- NotPositiveException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when the argument is negative.
- NotPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
-
Construct the exception.
- NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
-
Construct the exception with a specific context.
- NotStrictlyPositiveException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when the argument is negative.
- NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
-
Construct the exception.
- NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
-
Construct the exception with a specific context.
- NPointCrossover<T> - Class in org.apache.commons.math3.genetics
-
N-point crossover policy.
- NPointCrossover(int) - Constructor for class org.apache.commons.math3.genetics.NPointCrossover
-
- nSteps - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Number of steps of the multistep method (excluding the one being computed).
- nthRoot(int) - Method in class org.apache.commons.math3.complex.Complex
-
Computes the n-th roots of this complex number.
- NullArgumentException - Exception in org.apache.commons.math3.exception
-
All conditions checks that fail due to a null argument must throw
this exception.
- NullArgumentException() - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
-
Default constructor.
- NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
-
- numArtificialVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Number of artificial variables.
- numArtificialVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Number of artificial variables.
- NumberIsTooLargeException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when a number is too large.
- NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
-
Construct the exception.
- NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
-
Construct the exception with a specific context.
- NumberIsTooSmallException - Exception in org.apache.commons.math3.exception
-
Exception to be thrown when a number is too small.
- NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
-
Construct the exception.
- NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
-
Construct the exception with a specific context.
- numberOfElements - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Number of elements.
- numberOfInterpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
numberOfInterpolationPoints XXX
- numberOfInterpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
numberOfInterpolationPoints XXX
- numberOfPoints - Variable in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Number of integration points (per interval).
- numberOfSuccesses - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
The number of successes in the population.
- numberOfSuccesses - Variable in class org.apache.commons.math3.distribution.PascalDistribution
-
The number of successes.
- numberOfTrials - Variable in class org.apache.commons.math3.distribution.BinomialDistribution
-
The number of trials.
- NumberTransformer - Interface in org.apache.commons.math3.util
-
Subclasses implementing this interface can transform Objects to doubles.
- numDecisionVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Number of decision variables.
- numDecisionVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Number of decision variables.
- numElements - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The number of addressable elements in the array.
- numerator - Variable in class org.apache.commons.math3.fraction.BigFraction
-
The numerator.
- numerator - Variable in class org.apache.commons.math3.fraction.Fraction
-
The numerator.
- numeratorDegreesOfFreedom - Variable in class org.apache.commons.math3.distribution.FDistribution
-
The numerator degrees of freedom.
- numeratorFormat - Variable in class org.apache.commons.math3.fraction.AbstractFormat
-
The format used for the numerator.
- numericalMean - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Cached numerical mean
- numericalMean - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Cached numerical mean
- numericalMeanIsCalculated - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the numerical mean has been calculated
- numericalMeanIsCalculated - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Whether or not the numerical mean has been calculated
- numericalVariance - Variable in class org.apache.commons.math3.distribution.FDistribution
-
Cached numerical variance
- numericalVariance - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Cached numerical variance
- numericalVariance - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Cached numerical variance
- numericalVariance - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Cached numerical variance
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.FDistribution
-
Whether or not the numerical variance has been calculated
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Whether or not the numerical variance has been calculated
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the numerical variance has been calculated
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Whether or not the numerical variance has been calculated
- numGenerations - Variable in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Number of generations that have passed
- numSlackVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Number of slack variables.
- numSlackVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Number of slack variables.
- nvars - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
number of variables in regression
- p - Variable in class org.apache.commons.math3.analysis.function.Power
-
Power.
- Pair<K,V> - Class in org.apache.commons.math3.util
-
Generic pair.
- Pair(K, V) - Constructor for class org.apache.commons.math3.util.Pair
-
Create an entry representing a mapping from the specified key to the
specified value.
- Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math3.util.Pair
-
Create an entry representing the same mapping as the specified entry.
- pairedT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- pairedT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes a paired, 2-sample t-statistic based on the data in the input
arrays.
- pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- pairedTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- pairedTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or
p-value, associated with a paired, two-sample, two-tailed t-test
based on the data in the input arrays.
- pairedTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Performs a paired t-test evaluating the null hypothesis that the
mean of the paired differences between sample1 and
sample2 is 0 in favor of the two-sided alternative that the
mean paired difference is not equal to 0, with significance level
alpha.
- paramDim - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Parameters dimension.
- ParameterConfiguration - Class in org.apache.commons.math3.ode
-
Simple container pairing a parameter name with a step in order to compute
the associated Jacobian matrix by finite difference.
- ParameterConfiguration(String, double) - Constructor for class org.apache.commons.math3.ode.ParameterConfiguration
-
Parameter name and step pair constructor.
- Parameterizable - Interface in org.apache.commons.math3.ode
-
This interface enables to process any parameterizable object.
- ParameterizedODE - Interface in org.apache.commons.math3.ode
-
- ParameterizedWrapper - Class in org.apache.commons.math3.ode
-
- ParameterizedWrapper(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ParameterizedWrapper
-
Simple constructor.
- ParameterJacobianProvider - Interface in org.apache.commons.math3.ode
-
- ParameterJacobianWrapper - Class in org.apache.commons.math3.ode
-
Wrapper class to compute Jacobian matrices by finite differences for ODE
which do not compute them by themselves.
- ParameterJacobianWrapper(FirstOrderDifferentialEquations, ParameterizedODE, ParameterConfiguration[]) - Constructor for class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
- parameterName - Variable in class org.apache.commons.math3.ode.ParameterConfiguration
-
Parameter name.
- parameters - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Number of free parameters.
- parameters - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
regression slope parameters
- parametersNames - Variable in class org.apache.commons.math3.ode.AbstractParameterizable
-
List of the parameters names.
- ParametricUnivariateFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a real function that depends on one independent
variable plus some extra parameters.
- parent - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Parent tree.
- parent - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Parent tree.
- parRelativeTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Desired relative error in the approximate solution parameters.
- parRelativeTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Desired relative error in the approximate solution parameters.
- parse(String) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Parses a string to produce a
Complex object.
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Parses a string to produce a
Complex object.
- parse(String) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
- parse(String) - Method in class org.apache.commons.math3.fraction.FractionFormat
-
Parses a string to produce a
Fraction object.
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
-
Parses a string to produce a
Fraction object.
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Parses a string to produce a
Fraction object.
- parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Parses a string to produce a
Vector object.
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Parses a string to produce a
Vector object.
- parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Parses a string to produce a
Vector3D object.
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Parses a string to produce a
Vector3D object.
- parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Parses a string to produce a
Vector object.
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Parses a string to produce a
Vector object.
- parse(String) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Parses a string to produce a
Vector object.
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Parses a string to produce a
Vector object.
- parse(String) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
- parse(String) - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
- parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
- parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Parses source until a non-whitespace character is found.
- parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses source until a non-whitespace character is found.
- parseCoordinates(int, String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Parses a string to produce an array of coordinates.
- parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parse source for an expected fixed string.
- parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Parses a string to produce a BigInteger.
- parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Parses source until a non-whitespace character is found.
- parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses source until a non-whitespace character is found.
- parseNumber(String, double, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses source for special double values.
- parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses source for a number.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Scans the list of (required and optional) optimization data that
characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
Scans the list of (required and optional) optimization data that
characterize the problem.
- partialDerivative(int) - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
-
Deprecated.
Returns the partial derivative of the function with respect to a point coordinate.
- partialDerivative(int, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
- partialDerivatives - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Partial derivatives
The value of the first index determines the kind of derivatives:
0 = first partial derivatives wrt x
1 = first partial derivatives wrt y
2 = second partial derivatives wrt x
3 = second partial derivatives wrt y
4 = cross partial derivatives
- partialDerivativeX - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
First partial derivative along x.
- partialDerivativeX() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
- partialDerivativeX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
- partialDerivativeXX - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Second partial derivative along x.
- partialDerivativeXX() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
- partialDerivativeXX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
- partialDerivativeXY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Second crossed partial derivative.
- partialDerivativeXY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
- partialDerivativeXY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
- partialDerivativeY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
First partial derivative along y.
- partialDerivativeY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
- partialDerivativeY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
- partialDerivativeYY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Second partial derivative along y.
- partialDerivativeYY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
- partialDerivativeYY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
- partition(double[], int, int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Partition an array slice around a pivot
- PascalDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Pascal distribution.
- PascalDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
-
Create a Pascal distribution with the given number of successes and
probability of success.
- PascalDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
-
Create a Pascal distribution with the given number of successes and
probability of success.
- PATH_IS_EXPLORED - Static variable in exception org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
-
- PATH_IS_EXPLORED - Static variable in exception org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
-
Deprecated.
- pB(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The probability of bin i.
- pBminus(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The combined probability of the bins up to but not including bin i.
- pc - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Evolution path.
- pc - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Evolution path.
- PearsonsCorrelation - Class in org.apache.commons.math3.stat.correlation
-
Computes Pearson's product-moment correlation coefficients for pairs of arrays
or columns of a matrix.
- PearsonsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation instance without data
- PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation from a rectangular array
whose columns represent values of variables to be correlated.
- PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation from a RealMatrix whose columns
represent variables to be correlated.
- PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
- PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation from a covariance matrix.
- PegasusSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Pegasus method for root-finding (approximating
a zero of a univariate real function).
- PegasusSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver with default accuracy (1e-6).
- PegasusSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver.
- PegasusSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver.
- PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver.
- penalty(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
- penalty(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- pendingEvent - Variable in class org.apache.commons.math3.ode.events.EventState
-
Indicator of event expected during the step.
- pendingEventTime - Variable in class org.apache.commons.math3.ode.events.EventState
-
Occurrence time of the pending event.
- percentageValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction percentage as a double.
- percentageValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction percentage as a double.
- Percentile - Class in org.apache.commons.math3.stat.descriptive.rank
-
Provides percentile computation.
- Percentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Constructs a Percentile with a default quantile
value of 50.0.
- Percentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Constructs a Percentile with the specific quantile value.
- Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Copy constructor, creates a new Percentile identical
to the original
- PERCENTILE - Static variable in class org.apache.commons.math3.stat.StatUtils
-
percentile
- percentile(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns an estimate of the pth percentile of the values
in the values array.
- percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns an estimate of the pth percentile of the values
in the values array, starting with the element in (0-based)
position begin in the array and including length
values.
- percentileImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Percentile statistic implementation - can be reset by setter.
- performDoubleQRStep(int, int, int, SchurTransformer.ShiftInfo, double[]) - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Perform a double QR step involving rows l:idx and columns m:n
- performTest - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
stability check enabling parameter.
- period - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Period.
- permutation - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Columns permutation array.
- permutation - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Columns permutation array.
- PermutationChromosome<T> - Interface in org.apache.commons.math3.genetics
-
Interface indicating that the chromosome represents a permutation of objects.
- perturb(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Perturb the hash for starting probing.
- perturb(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Perturb the hash for starting probing.
- PERTURB_SHIFT - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Number of bits to perturb the index when probing for collision resolution.
- PERTURB_SHIFT - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Number of bits to perturb the index when probing for collision resolution.
- phase - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Phase.
- phi - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Phase.
- phi - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.
Phase.
- pi - Variable in class org.apache.commons.math3.dfp.DfpField
-
- PI - Static variable in class org.apache.commons.math3.util.FastMath
-
Archimede's constant PI, ratio of circle circumference to diameter.
- PI_O_4_BITS - Static variable in class org.apache.commons.math3.util.FastMath
-
Bits of pi/4, need for reducePayneHanek().
- piSplit - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp array with value π split in two pieces.
- piString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of π.
- pivot - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Pivot permutation associated with LU decomposition.
- pivot - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Pivot permutation associated with LU decomposition.
- pivot - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Pivot permutation associated with LU decomposition.
- pivot - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Pivot permutation associated with LU decomposition.
- Plane - Class in org.apache.commons.math3.geometry.euclidean.threed
-
The class represent planes in a three dimensional space.
- Plane(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a plane normal to a given direction and containing the origin.
- Plane(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a plane from a point and a normal.
- Plane(Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a plane from three points.
- Plane(Plane) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Copy constructor.
- plus - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Tree at the plus side of the cut hyperplane.
- plus - Variable in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Part of the sub-hyperplane on the plus side of the splitting hyperplane.
- PLUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
First canonical vector (coordinates: 1, 0, 0).
- PLUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Second canonical vector (coordinates: 0, 1, 0).
- PLUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Third canonical vector (coordinates: 0, 0, 1).
- plusFound - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
-
Indicator of inside leaf nodes found on the plus side.
- plusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
-
Check if inside leaf nodes have been found on the plus side.
- plusInside - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Part of the node cut sub-hyperplane that belongs to the
boundary and has the inside of the region on the plus side of
its underlying hyperplane (may be null).
- plusOutside - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Part of the node cut sub-hyperplane that belongs to the
boundary and has the outside of the region on the plus side of
its underlying hyperplane (may be null).
- pode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
FODE without exact parameter Jacobian computation skill.
- pode - Variable in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Raw ODE without Jacobian computation skill to be wrapped into a ParameterJacobianProvider.
- point - Variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Point coordinates.
- point - Variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Point coordinates.
- point - Variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Point.
- point - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- point - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
Current point.
- point - Variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.
Point coordinates.
- point - Variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.
Point coordinates.
- point - Variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.
Point.
- point - Variable in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Point coordinates.
- point - Variable in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Point coordinates.
- pointAt(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get one point from the line.
- pointIsBetween(Vector2D[], int, int) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Check if a point is geometrically between its neighbour in an array.
- points - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Nodes.
- points - Variable in class org.apache.commons.math3.stat.clustering.Cluster
-
The points contained in this cluster.
- pointsAndWeights - Variable in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
List of points and weights, indexed by the order of the rule.
- pointsAndWeightsDouble - Variable in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Cache for double-precision rules.
- PointValuePair - Class in org.apache.commons.math3.optim
-
This class holds a point and the value of an objective function at
that point.
- PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair
-
Builds a point/objective function value pair.
- PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optim.PointValuePair
-
Builds a point/objective function value pair.
- PointValuePair - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.
Builds a point/objective function value pair.
- PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.
Builds a point/objective function value pair.
- PointValuePair.DataTransferObject - Class in org.apache.commons.math3.optim
-
Internal class used only for serialization.
- PointValuePair.DataTransferObject(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Simple constructor.
- PointValuePair.DataTransferObject - Class in org.apache.commons.math3.optimization
-
Deprecated.
Internal class used only for serialization.
- PointValuePair.DataTransferObject(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.
Simple constructor.
- PointVectorValuePair - Class in org.apache.commons.math3.optim
-
This class holds a point and the vectorial value of an objective function at
that point.
- PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
-
Builds a point/objective function value pair.
- PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
-
Build a point/objective function value pair.
- PointVectorValuePair - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.
Builds a point/objective function value pair.
- PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.
Build a point/objective function value pair.
- PointVectorValuePair.DataTransferObject - Class in org.apache.commons.math3.optim
-
Internal class used only for serialization.
- PointVectorValuePair.DataTransferObject(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Simple constructor.
- PointVectorValuePair.DataTransferObject - Class in org.apache.commons.math3.optimization
-
Deprecated.
Internal class used only for serialization.
- PointVectorValuePair.DataTransferObject(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.
Simple constructor.
- PoissonDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Poisson distribution.
- PoissonDistribution(double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with specified mean.
- PoissonDistribution(double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with specified mean, convergence
criterion and maximum number of iterations.
- PoissonDistribution(RandomGenerator, double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with specified mean, convergence
criterion and maximum number of iterations.
- PoissonDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with the specified mean and
convergence criterion.
- PoissonDistribution(double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with the specified mean and maximum
number of iterations.
- polar2Complex(double, double) - Static method in class org.apache.commons.math3.complex.ComplexUtils
-
Creates a complex number from the given polar representation.
- polyCosine(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes cos(x) - 1, where |x| < 1/16.
- polygon - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Polygon enclosing a finite region.
- PolygonsSet - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represents a 2D region: a set of polygons.
- PolygonsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygons set representing the whole real line.
- PolygonsSet(BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygons set from a BSP tree.
- PolygonsSet(Collection<SubHyperplane<Euclidean2D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygons set from a Boundary REPresentation (B-rep).
- PolygonsSet(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a parallellepipedic box.
- PolygonsSet(double, Vector2D...) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygon from a simple list of vertices.
- PolygonsSet.ComparableSegment - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Private extension of Segment allowing comparison.
- PolygonsSet.ComparableSegment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
-
Build a segment.
- PolygonsSet.ComparableSegment(Vector2D, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
-
Build a dummy segment.
- PolygonsSet.Edge - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Internal class for holding edges while they are processed to build a BSP tree.
- PolygonsSet.Edge(PolygonsSet.Vertex, PolygonsSet.Vertex, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Build an edge not contained in any node yet.
- PolygonsSet.SegmentsBuilder - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Visitor building segments.
- PolygonsSet.SegmentsBuilder() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Simple constructor.
- PolygonsSet.Vertex - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Internal class for holding vertices while they are processed to build a BSP tree.
- PolygonsSet.Vertex(Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Build a non-processed vertex not owned by any node yet.
- PolyhedronsSet - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents a 3D region: a set of polyhedrons.
- PolyhedronsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a polyhedrons set representing the whole real line.
- PolyhedronsSet(BSPTree<Euclidean3D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a polyhedrons set from a BSP tree.
- PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a polyhedrons set from a Boundary REPresentation (B-rep).
- PolyhedronsSet(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a parallellepipedic box.
- PolyhedronsSet.FacetsContributionVisitor - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Visitor computing geometrical properties.
- PolyhedronsSet.FacetsContributionVisitor() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Simple constructor.
- PolyhedronsSet.RotationTransform - Class in org.apache.commons.math3.geometry.euclidean.threed
-
3D rotation as a Transform.
- PolyhedronsSet.RotationTransform(Vector3D, Rotation) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Build a rotation transform.
- PolyhedronsSet.TranslationTransform - Class in org.apache.commons.math3.geometry.euclidean.threed
-
3D translation as a transform.
- PolyhedronsSet.TranslationTransform(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Build a translation transform.
- polynomial(double...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Create a polynomial from its coefficients.
- polynomialDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
- PolynomialFitter - Class in org.apache.commons.math3.fitting
-
- PolynomialFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.PolynomialFitter
-
Simple constructor.
- PolynomialFitter - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- PolynomialFitter(int, DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
- PolynomialFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.
Simple constructor.
- PolynomialFunction - Class in org.apache.commons.math3.analysis.polynomials
-
Immutable representation of a real polynomial function with real coefficients.
- PolynomialFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Construct a polynomial with the given coefficients.
- polynomialFunction - Variable in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Function.
- PolynomialFunction.Parametric - Class in org.apache.commons.math3.analysis.polynomials
-
Dedicated parametric polynomial class.
- PolynomialFunction.Parametric() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
-
- PolynomialFunctionLagrangeForm - Class in org.apache.commons.math3.analysis.polynomials
-
Implements the representation of a real polynomial function in
Lagrange Form.
- PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Construct a Lagrange polynomial with the given abscissas and function
values.
- PolynomialFunctionNewtonForm - Class in org.apache.commons.math3.analysis.polynomials
-
Implements the representation of a real polynomial function in
Newton Form.
- PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Construct a Newton polynomial with the given a[] and c[].
- polynomials - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
The polynomial functions that make up the spline.
- polynomials - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Interpolation polynomials.
- PolynomialSolver - Interface in org.apache.commons.math3.analysis.solvers
-
Interface for (polynomial) root-finding algorithms.
- polynomialSplineDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get the derivative of the polynomial spline function.
- PolynomialSplineFunction - Class in org.apache.commons.math3.analysis.polynomials
-
Represents a polynomial spline function.
- PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Construct a polynomial spline function with the given segment delimiters
and interpolating polynomials.
- PolynomialsUtils - Class in org.apache.commons.math3.analysis.polynomials
-
A collection of static methods that operate on or return polynomials.
- PolynomialsUtils() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Private constructor, to prevent instantiation.
- PolynomialsUtils.JacobiKey - Class in org.apache.commons.math3.analysis.polynomials
-
Inner class for Jacobi polynomials keys.
- PolynomialsUtils.JacobiKey(int, int) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
Simple constructor.
- PolynomialsUtils.RecurrenceCoefficientsGenerator - Interface in org.apache.commons.math3.analysis.polynomials
-
Interface for recurrence coefficients generation.
- polySine(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes sin(x) - x, where |x| < 1/16.
- Population - Interface in org.apache.commons.math3.genetics
-
A collection of chromosomes that facilitates generational evolution.
- populationLimit - Variable in class org.apache.commons.math3.genetics.ListPopulation
-
maximal size of the population
- populationSize - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
The population size.
- populationVariance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the
population variance of the entries in the input array, or
Double.NaN if the array is empty.
- populationVariance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the
population variance of the entries in the specified portion of
the input array, or
Double.NaN if the designated subarray
is empty.
- populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the
population variance of the entries in the specified portion of
the input array, using the precomputed mean value.
- populationVariance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the
population variance of the entries in the input array, using the
precomputed mean value.
- POS_INFINITY_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
-
String for positive infinity representation.
- posInf - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Positive infinity marker.
- position - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Original position of the pair
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
A vector with all coordinates set to positive infinity.
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
A vector with all coordinates set to positive infinity.
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
A vector with all coordinates set to positive infinity.
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of Double.POSITIVE_INFINITY as a
Decimal64.
- positiveOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is greater than or equal to 0.
- pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Power operation.
- pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Integer power operation.
- pow(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Power operation.
- pow(double[], int, double, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute power of a derivative structure.
- pow(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute integer power of a derivative structure.
- pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute power of a derivative structure.
- Pow - Class in org.apache.commons.math3.analysis.function
-
Power function.
- Pow() - Constructor for class org.apache.commons.math3.analysis.function.Pow
-
- pow(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns of value of this complex number raised to the power of x.
- pow(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns of value of this complex number raised to the power of x.
- pow(Dfp, int) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Raises base to the power a by successive squaring.
- pow(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes x to the y power.
- pow(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a BigFraction whose value is
(this<sup>exponent</sup>), returning the result in reduced form.
- pow(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a BigFraction whose value is
(thisexponent), returning the result in reduced form.
- pow(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a BigFraction whose value is
(thisexponent), returning the result in reduced form.
- pow(double) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a double whose value is
(thisexponent), returning the result in reduced form.
- pow(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise an int to an int power.
- pow(int, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise an int to a long power.
- pow(long, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a long to an int power.
- pow(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a long to a long power.
- pow(BigInteger, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a BigInteger to an int power.
- pow(BigInteger, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a BigInteger to a long power.
- pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a BigInteger to a BigInteger power.
- pow(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Power function.
- pow(double, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Raise a double to an int power.
- POW_TRAP - Static variable in class org.apache.commons.math3.dfp.DfpMath
-
Name for traps triggered by pow.
- PowellOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Powell algorithm.
- PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
This constructor allows to specify a user-defined convergence checker,
in addition to the parameters that control the default convergence
checking procedure.
- PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
This constructor allows to specify a user-defined convergence checker,
in addition to the parameters that control the default convergence
checking procedure and the line search tolerances.
- PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
The parameters control the default convergence checking procedure.
- PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Builds an instance with the default convergence checking procedure.
- PowellOptimizer - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
This constructor allows to specify a user-defined convergence checker,
in addition to the parameters that control the default convergence
checking procedure.
- PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
This constructor allows to specify a user-defined convergence checker,
in addition to the parameters that control the default convergence
checking procedure and the line search tolerances.
- PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
The parameters control the default convergence checking procedure.
- PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
Builds an instance with the default convergence checking procedure.
- PowellOptimizer.LineSearch - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Class for finding the minimum of the objective function along a given
direction.
- PowellOptimizer.LineSearch(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
-
The "BrentOptimizer" default stopping criterion uses the tolerances
to check the domain (point) values, not the function values.
- PowellOptimizer.LineSearch - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
Class for finding the minimum of the objective function along a given
direction.
- PowellOptimizer.LineSearch(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.
The "BrentOptimizer" default stopping criterion uses the tolerances
to check the domain (point) values, not the function values.
- Power - Class in org.apache.commons.math3.analysis.function
-
Power function.
- Power(double) - Constructor for class org.apache.commons.math3.analysis.function.Power
-
- power(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the result multiplying this with itself p times.
- power(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of multiplying this with itself p
times.
- power(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the result multiplying this with itself p times.
- power(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of multiplying this with itself p
times.
- power10(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Return the specified power of 10.
- power10K(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the specified power of 10000.
- POWERS_OF_TWO - Static variable in class org.apache.commons.math3.transform.TransformUtils
-
Table of the powers of 2 to facilitate binary search lookup.
- Precision - Class in org.apache.commons.math3.util
-
Utilities for comparing numbers.
- Precision() - Constructor for class org.apache.commons.math3.util.Precision
-
Private constructor.
- precondition(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
-
Precondition a search direction.
- precondition(double[], double[]) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.gradient.Preconditioner
-
Precondition a search direction.
- precondition(double[], double[]) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
-
Deprecated.
Precondition a search direction.
- precondition(double[], double[]) - Method in interface org.apache.commons.math3.optimization.general.Preconditioner
-
Deprecated.
Precondition a search direction.
- PreconditionedIterativeLinearSolver - Class in org.apache.commons.math3.linear
-
This abstract class defines preconditioned iterative solvers.
- PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Creates a new instance of this class, with default iteration manager.
- PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Creates a new instance of this class, with custom iteration manager.
- preconditioner - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Preconditioner (may be null).
- Preconditioner - Interface in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
This interface represents a preconditioner for differentiable scalar
objective function optimizers.
- preconditioner - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
Preconditioner (may be null).
- Preconditioner - Interface in org.apache.commons.math3.optimization.general
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- predict() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Predict the internal state estimation one time step ahead.
- predict(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Predict the internal state estimation one time step ahead.
- predict(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Predict the internal state estimation one time step ahead.
- predict(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the "predicted" y value associated with the
supplied x value, based on the data that has been
added to the model when this method is activated.
- prefix - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Prefix.
- prefix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Prefix.
- prefix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Prefix.
- prelim(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
SUBROUTINE PRELIM sets the elements of XBASE, XPT, FVAL, GOPT, HQ, PQ,
BMAT and ZMAT for the first iteration, and it maintains the values of
NF and KOPT.
- prelim(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
SUBROUTINE PRELIM sets the elements of XBASE, XPT, FVAL, GOPT, HQ, PQ,
BMAT and ZMAT for the first iteration, and it maintains the values of
NF and KOPT.
- preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Premultiply this matrix by m.
- preMultiply(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v.
- preMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v.
- preMultiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of premultiplying this by m.
- preMultiply(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector v.
- preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector v.
- preMultiply(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v.
- preMultiply(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector v.
- preMultiply(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v.
- preMultiply(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector v.
- preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Premultiply this matrix by m.
- preMultiply(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v.
- preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v.
- preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of premultiplying this by m.
- preMultiply(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the (row) vector result of premultiplying this by the vector v.
- preMultiply(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the (row) vector result of premultiplying this by the vector v.
- previous - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Previous value.
- previous - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Previous state.
- previousEventTime - Variable in class org.apache.commons.math3.ode.events.EventState
-
Occurrence time of the previous event.
- previousIndex(int) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Computes the previous index of an array, clipping if necessary.
- previousIndex(int) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
-
Compute the previous index of an array, clipping if necessary.
- previousState - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Previous state.
- primary - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Primary differential equation.
- primaryMapper - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Mapper for primary equation.
- primaryMapper - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Equations mapper for the primary equations set.
- primaryState - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
State.
- primaryStateDot - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
State derivative.
- printarray(PrintStream, String, int, double[][]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Print an array.
- printarray(PrintStream, String, int, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Print an array.
- printMethod() - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- printMethod() - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- printState(int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- printState(int) - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- probability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).
- probability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).
- probability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).
- probability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.BinomialDistribution
-
The probability of success.
- probabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.PascalDistribution
-
The probability of success.
- probe(int, int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Compute next probe for collision resolution
- probe(int, int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Compute next probe for collision resolution
- processModel - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The process model used by this filter instance.
- ProcessModel - Interface in org.apache.commons.math3.filter
-
Defines the process dynamics model for the use with a
KalmanFilter.
- processNoiseCovMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The process noise covariance matrix.
- Product - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the product of the available values.
- Product() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
-
Create a Product instance
- Product(Product) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
-
Copy constructor, creates a new Product identical
to the original
- PRODUCT - Static variable in class org.apache.commons.math3.stat.StatUtils
-
prod
- product(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the product of the entries in the input array, or
Double.NaN if the array is empty.
- product(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the product of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- productsSums - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Sums of products for each component.
- projected - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Projection of the polyhedrons set on the plane.
- projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Find the orthogonal projection of this vector onto another vector.
- ProperBigFractionFormat - Class in org.apache.commons.math3.fraction
-
Formats a BigFraction number in proper format.
- ProperBigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Create a proper formatting instance with the default number format for
the whole, numerator, and denominator.
- ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Create a proper formatting instance with a custom number format for the
whole, numerator, and denominator.
- ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Create a proper formatting instance with a custom number format for each
of the whole, numerator, and denominator.
- ProperFractionFormat - Class in org.apache.commons.math3.fraction
-
Formats a Fraction number in proper format.
- ProperFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
-
Create a proper formatting instance with the default number format for
the whole, numerator, and denominator.
- ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
-
Create a proper formatting instance with a custom number format for the
whole, numerator, and denominator.
- ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
-
Create a proper formatting instance with a custom number format for each
of the whole, numerator, and denominator.
- prototype - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Prototype of the step interpolator.
- prototype - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Prototype of the step interpolator.
- providesResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
- providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
- ps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Evolution path for sigma.
- ps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Evolution path for sigma.
- pseudoInverse - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Pseudo-inverse of the initial matrix.
- push(double[], double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Pushes the current best fitness value in a history queue.
- push(double[], double) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Pushes the current best fitness value in a history queue.
- put(int, double) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Put a value associated with a key in the map.
- put(int, T) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Put a value associated with a key in the map.
- putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
-
Sets a Class to Transformer Mapping in the Map.
- r - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
The current estimate of the residual.
- r - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
the off diagonal portion of the R matrix
- r1 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[k] * M^(-1) * P' * v[k].
- r2 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[k+1] * M^(-1) * P' * v[k+1].
- RADIX - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The radix, or base of this system.
- radixDigits - Variable in class org.apache.commons.math3.dfp.DfpField
-
The number of radix digits.
- rand - Variable in class org.apache.commons.math3.random.RandomDataGenerator
-
underlying random number generator
- rand - Variable in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
-
RNG used for generating the individual components of the vectors.
- randn(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- randn(int) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- randn1(int, int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- randn1(int, int) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- random - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
RNG instance used to generate samples from the distribution.
- random - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
RNG instance used to generate samples from the distribution.
- random - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
RNG instance used to generate samples from the distribution.
- random - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Random generator.
- random - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Random generator.
- random - Variable in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Random generator for choosing initial centers.
- random() - Static method in class org.apache.commons.math3.util.FastMath
-
Returns a pseudo-random number between 0.0 and 1.0.
- RandomAdaptor - Class in org.apache.commons.math3.random
-
- RandomAdaptor() - Constructor for class org.apache.commons.math3.random.RandomAdaptor
-
Prevent instantiation without a generator argument
- RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomAdaptor
-
Construct a RandomAdaptor wrapping the supplied RandomGenerator.
- randomBinaryRepresentation(int) - Static method in class org.apache.commons.math3.genetics.BinaryChromosome
-
Returns a representation of a random binary array of length length.
- randomData - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
- randomData - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
- randomData - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
RandomDataGenerator instance to use in repeated calls to getNext()
- RandomData - Interface in org.apache.commons.math3.random
-
- randomData - Variable in class org.apache.commons.math3.random.ValueServer
-
RandomDataImpl to use for random data generation.
- randomData - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Source of random data - used only when ties strategy is RANDOM
- RandomDataGenerator - Class in org.apache.commons.math3.random
-
Implements the
RandomData interface using a
RandomGenerator
instance to generate non-secure data and a
SecureRandom
instance to provide data for the
nextSecureXxx methods.
- RandomDataGenerator() - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
-
Construct a RandomDataGenerator, using a default random generator as the source
of randomness.
- RandomDataGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
-
Construct a RandomDataGenerator using the supplied
RandomGenerator as
the source of (non-secure) random data.
- RandomDataImpl - Class in org.apache.commons.math3.random
-
- RandomDataImpl() - Constructor for class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Construct a RandomDataImpl, using a default random generator as the source
of randomness.
- RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Construct a RandomDataImpl using the supplied
RandomGenerator as
the source of (non-secure) random data.
- randomGenerator - Static variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Static random number generator shared by GA implementation classes.
- randomGenerator - Variable in class org.apache.commons.math3.random.RandomAdaptor
-
Wrapped randomGenerator instance
- RandomGenerator - Interface in org.apache.commons.math3.random
-
Interface extracted from java.util.Random.
- RandomKey<T> - Class in org.apache.commons.math3.genetics
-
Random Key chromosome is used for permutation representation.
- RandomKey(List<Double>) - Constructor for class org.apache.commons.math3.genetics.RandomKey
-
Constructor.
- RandomKey(Double[]) - Constructor for class org.apache.commons.math3.genetics.RandomKey
-
Constructor.
- RandomKeyMutation - Class in org.apache.commons.math3.genetics
-
- RandomKeyMutation() - Constructor for class org.apache.commons.math3.genetics.RandomKeyMutation
-
- randomPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation corresponding to a random permutation of
length l which can be passed to the RandomKey constructor.
- randomStart - Variable in class org.apache.commons.math3.genetics.CycleCrossover
-
If the start index shall be chosen randomly.
- RandomVectorGenerator - Interface in org.apache.commons.math3.random
-
This interface represents a random generator for whole vectors.
- rank - Variable in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Rank of the symmetric positive semidefinite matrix.
- rank - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Rank of the jacobian matrix.
- rank - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Rank of the jacobian matrix.
- rank(double[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Rank data using the natural ordering on Doubles, with
NaN values handled according to nanStrategy and ties
resolved using tiesStrategy.
- rank(double[]) - Method in interface org.apache.commons.math3.stat.ranking.RankingAlgorithm
-
Performs a rank transformation on the input data, returning an array
of ranks.
- rank - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
rank of the solution
- rankCorrelation - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Rank correlation
- rankingAlgorithm - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Ranking algorithm
- RankingAlgorithm - Interface in org.apache.commons.math3.stat.ranking
-
Interface representing a rank transformation.
- rankTransform(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Applies rank transform to each of the columns of matrix
using the current rankingAlgorithm
- ratio - Variable in class org.apache.commons.math3.genetics.UniformCrossover
-
The mixing ratio.
- rDiag - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
The diagonal elements of R.
- rDiag - Variable in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
The diagonal elements of R.
- readBaseExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Read the base state of the instance.
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Deserialize this object from the given stream.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Read a serialized object.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Read a serialized object.
- readResolve() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
- readResolve() - Method in class org.apache.commons.math3.complex.Complex
-
Resolve the transient fields in a deserialized Complex Object.
- readResolve() - Method in class org.apache.commons.math3.complex.ComplexField
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.fraction.FractionField
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
- readResolve() - Method in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
- readResolve() - Method in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.
- readResolve() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.
- readResolve() - Method in class org.apache.commons.math3.util.BigRealField
-
Handle deserialization of the singleton.
- real - Variable in class org.apache.commons.math3.complex.Complex
-
The real part.
- RealDistribution - Interface in org.apache.commons.math3.distribution
-
Base interface for distributions on the reals.
- realEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Real part of the realEigenvalues.
- realEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Real part of the realEigenvalues.
- realFormat - Variable in class org.apache.commons.math3.complex.ComplexFormat
-
The format used for the real part.
- RealLinearOperator - Class in org.apache.commons.math3.linear
-
This class defines a linear operator operating on real (double)
vector spaces.
- RealLinearOperator() - Constructor for class org.apache.commons.math3.linear.RealLinearOperator
-
- RealMatrix - Interface in org.apache.commons.math3.linear
-
Interface defining a real-valued matrix with basic algebraic operations.
- RealMatrixChangingVisitor - Interface in org.apache.commons.math3.linear
-
Interface defining a visitor for matrix entries.
- RealMatrixFormat - Class in org.apache.commons.math3.linear
-
Formats a nxm matrix in components list format
"{{a00,a01, ...,
a0m-1},{a10,
a11, ..., a1m-1},{...},{
an-10, an-11, ...,
an-1m-1}}".
- RealMatrixFormat() - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with default settings.
- RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with a custom number format for components.
- RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with custom prefix, suffix and separator.
- RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with custom prefix, suffix, separator and format
for components.
- RealMatrixPreservingVisitor - Interface in org.apache.commons.math3.linear
-
Interface defining a visitor for matrix entries.
- RealTransformer - Interface in org.apache.commons.math3.transform
-
Interface for one-dimensional data sets transformations producing real results.
- RealVector - Class in org.apache.commons.math3.linear
-
Class defining a real-valued vector with basic algebraic operations.
- RealVector() - Constructor for class org.apache.commons.math3.linear.RealVector
-
- RealVector.Entry - Class in org.apache.commons.math3.linear
-
An entry in the vector.
- RealVector.Entry() - Constructor for class org.apache.commons.math3.linear.RealVector.Entry
-
Simple constructor.
- RealVector.SparseEntryIterator - Class in org.apache.commons.math3.linear
-
Deprecated.
As of 3.1, this class is deprecated, see
JIRA MATH-875.
This class will be completely removed in 4.0.
- RealVector.SparseEntryIterator() - Constructor for class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Deprecated.
Simple constructor.
- RealVectorChangingVisitor - Interface in org.apache.commons.math3.linear
-
This interface defines a visitor for the entries of a vector.
- RealVectorFormat - Class in org.apache.commons.math3.linear
-
Formats a vector in components list format "{v0; v1; ...; vk-1}".
- RealVectorFormat() - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with default settings.
- RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with a custom number format for components.
- RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with custom prefix, suffix and separator.
- RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with custom prefix, suffix, separator and format
for components.
- RealVectorPreservingVisitor - Interface in org.apache.commons.math3.linear
-
This interface defines a visitor for the entries of a vector.
- rebalanceLeftGrown() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Re-balance the instance as left sub-tree has grown.
- rebalanceLeftShrunk() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Re-balance the instance as left sub-tree has shrunk.
- rebalanceRightGrown() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Re-balance the instance as right sub-tree has grown.
- rebalanceRightShrunk() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Re-balance the instance as right sub-tree has shrunk.
- RECIP_2PI - Static variable in class org.apache.commons.math3.util.FastMath
-
Bits of 1/(2*pi), need for reducePayneHanek().
- reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the multiplicative inverse of this element.
- reciprocal() - Method in class org.apache.commons.math3.complex.Complex
-
Returns the multiplicative inverse of this element.
- reciprocal() - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the multiplicative inverse of this element.
- reciprocal() - Method in interface org.apache.commons.math3.FieldElement
-
Returns the multiplicative inverse of this element.
- reciprocal() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Return the multiplicative inverse of this fraction.
- reciprocal() - Method in class org.apache.commons.math3.fraction.Fraction
-
Return the multiplicative inverse of this fraction.
- reciprocal() - Method in class org.apache.commons.math3.util.BigReal
-
Returns the multiplicative inverse of this element.
- reciprocal() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns the multiplicative inverse of this element.
- recodeNaNs(NaturalRanking.IntDoublePair[], double) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Recodes NaN values to the given value.
- RECOMPUTE_TABLES_AT_RUNTIME - Static variable in class org.apache.commons.math3.util.FastMath
-
Indicator for tables initialization.
- recomputeZ() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Recompute the normalization factor.
- RectangularCholeskyDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the rectangular Cholesky decomposition of a matrix.
- RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Decompose a symmetric positive semidefinite matrix.
- RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Decompose a symmetric positive semidefinite matrix.
- recurseComplement(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Recursively build the complement of a BSP tree.
- recurseFirstIntersection(BSPTree<Euclidean3D>, Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Get the first sub-hyperplane crossed by a semi-infinite line.
- recurseIntersection(BSPTree<S>, SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Recursively compute the parts of a sub-hyperplane that are
contained in the region.
- recurseList(BSPTree<Euclidean1D>, List<Interval>, double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Update an intervals list.
- recurseSides(BSPTree<S>, SubHyperplane<S>, AbstractRegion.Sides) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Search recursively for inside leaf nodes on each side of the given hyperplane.
- recurseTransform(BSPTree<S>, Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Recursively transform an inside/outside BSP-tree.
- recurseTransform(BSPTree<T>, Hyperplane<S>, Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Recursively transform a BSP-tree from a sub-hyperplane.
- reduce() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Reduce this BigFraction to its lowest terms.
- reduce(double, double, double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Reduce |a - offset| to the primary interval
[0, |period|).
- reducePayneHanek(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Reduce the input argument using the Payne and Hanek method.
- REDUCTION_FACTOR - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Reduction factor for attempts to balance the bracketing interval.
- referenceCount - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Reference modification count.
- referenceCount - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Reference modification count.
- referenceTime - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Reference time for all arrays.
- refineSolution(RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Move to the CG point if it seems better.
- regcf(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
The regcf method conducts the linear regression and extracts the
parameter vector.
- Region<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface represents a region of a space as a partition.
- Region.Location - Enum in org.apache.commons.math3.geometry.partitioning
-
Enumerate for the location of a point with respect to the region.
- Region.Location() - Constructor for enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
- RegionFactory<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
-
This class is a factory for
Region.
- RegionFactory() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Simple constructor.
- RegionFactory.DifferenceMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing union of two regions.
- RegionFactory.DifferenceMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
-
- RegionFactory.IntersectionMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing union of two regions.
- RegionFactory.IntersectionMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.IntersectionMerger
-
- RegionFactory.NodesCleaner - Class in org.apache.commons.math3.geometry.partitioning
-
Visitor removing internal nodes attributes.
- RegionFactory.NodesCleaner() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
-
- RegionFactory.UnionMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing union of two regions.
- RegionFactory.UnionMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.UnionMerger
-
- RegionFactory.XorMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing union of two regions.
- RegionFactory.XorMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.XorMerger
-
- registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Register the variational equations for the Jacobians matrices to the expandable set.
- regress() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Conducts a regression on the data in the model, using all regressors.
- regress(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Conducts a regression on the data in the model, using a subset of regressors.
- regress(int[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Conducts a regression on the data in the model, using regressors in array
Calling this method will change the internal order of the regressors
and care is required in interpreting the hatmatrix.
- regress() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Performs a regression on data present in buffers and outputs a RegressionResults object.
- regress(int[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Performs a regression on data present in buffers including only regressors
indexed in variablesToInclude and outputs a RegressionResults object
- regress() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Performs a regression on data present in buffers and outputs a RegressionResults object
- regress(int[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Performs a regression on data present in buffers including only regressors
indexed in variablesToInclude and outputs a RegressionResults object
- RegressionResults - Class in org.apache.commons.math3.stat.regression
-
Results of a Multiple Linear Regression model fit.
- RegressionResults() - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
-
Set the default constructor to private access
to prevent inadvertent instantiation
- RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
-
Constructor for Regression Results.
- RegulaFalsiSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Regula Falsi or False position method for
root-finding (approximating a zero of a univariate real function).
- RegulaFalsiSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver with default accuracy (1e-6).
- RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver.
- RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver.
- RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver.
- regularizedBeta(double, double, double) - Static method in class org.apache.commons.math3.special.Beta
-
- regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math3.special.Beta
-
- regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the regularized beta function I(x, a, b).
- regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the regularized beta function I(x, a, b).
- regularizedGammaP(double, double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function P(a, x).
- regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function P(a, x).
- regularizedGammaQ(double, double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
- regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
- reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Reinitialize the instance
- reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Reinitialize the instance
- reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Reinitialize the instance
- reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Reinitialize the instance
- reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Reinitialize the instance.
- reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Reinitialize the instance.
- reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
-
Reinitialize the beginning of the step.
- REL_TOL_UNUSED - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
-
Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker
will always decide when to stop the line search.
- REL_TOL_UNUSED - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.
Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker
will always decide when to stop the line search.
- relationship - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Relationship between left and right hand sides (=, <=, >=).
- Relationship - Enum in org.apache.commons.math3.optim.linear
-
- Relationship(String) - Constructor for enum org.apache.commons.math3.optim.linear.Relationship
-
Simple constructor.
- relationship - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Relationship between left and right hand sides (=, <=, >=).
- Relationship - Enum in org.apache.commons.math3.optimization.linear
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- Relationship(String) - Constructor for enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.
Simple constructor.
- relativeAccuracy - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Maximum relative error.
- relativeAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Relative accuracy.
- relativeAccuracy - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Relative accuracy.
- relativeThreshold - Variable in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Relative tolerance threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Relative threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Relative threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
Relative tolerance threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.
Relative threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.
Relative threshold.
- remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'%' operator.
- remainder(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'%' operator.
- remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform remainder of two derivative structures.
- remainder(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the IEEE remainder.
- remainingRegion - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Remaining region of the hyperplane.
- remainingRegion - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Remaining region of the hyperplane.
- rememberMinusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
-
Remember the fact that inside leaf nodes have been found on the minus side.
- rememberPlusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
-
Remember the fact that inside leaf nodes have been found on the plus side.
- remove() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
-
Deprecated.
- remove() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Deprecated.
- remove() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
- remove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Remove the value associated with a key.
- remove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Remove the value associated with a key.
- REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Status indicator for removed table entries.
- REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Status indicator for removed table entries.
- removeData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Removes the observation (x,y) from the regression data set.
- removeData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Removes observations represented by the elements in data.
- removeIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
-
Removes the specified iteration listener from the list of listeners
currently attached to this object.
- removeMostRecentValue() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Removes the most recent value from the dataset.
- removeNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Returns an array that is a copy of the input array with IntDoublePairs
having NaN values removed.
- removeTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
-
Removes a Class to Transformer Mapping in the Map.
- reorderRegressors(int[], int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
ALGORITHM AS274 APPL.
- repair(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
- repair(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- replaceMostRecentValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Replaces the most recently stored value with the given value.
- replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Replace the worst point of the simplex by a new point.
- replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Replace the worst point of the simplex by a new point.
- REPLAY_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Replay data from valuesFilePath.
- repmat(RealMatrix, int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- repmat(RealMatrix, int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- REPORT_URL - Static variable in exception org.apache.commons.math3.exception.MathInternalError
-
URL for reporting problems.
- representableDelta(double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Computes a number delta close to originalDelta with
the property that
- representation - Variable in class org.apache.commons.math3.genetics.AbstractListChromosome
-
List representing the chromosome
- rescale(double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Update scaling array.
- rescale(double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Rescale the instance.
- reSeed(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
- reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the random number generator with the supplied seed.
- reSeed() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the random number generator with
System.currentTimeMillis() + System.identityHashCode(this)).
- reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Reseeds the random number generator with the supplied seed.
- reSeed() - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Reseeds the random number generator with
System.currentTimeMillis() + System.identityHashCode(this)).
- reSeed(long) - Method in class org.apache.commons.math3.random.ValueServer
-
Reseeds the random data generator.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Reseeds the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Reseeds the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Reseeds the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Reseed the random generator used to generate samples.
- reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the secure random number generator with the current time in
milliseconds.
- reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the secure random number generator with the supplied seed.
- reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Reseeds the secure random number generator with the current time in
milliseconds.
- reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Reseeds the secure random number generator with the supplied seed.
- reset() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Reset "illumination" and "sampleIndex".
- reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Reset the instance as if built from two points.
- reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Reset the instance as if built from a point and a normal.
- reset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Reset the instance from another one.
- reset(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Reset the instance as if built from two points.
- reset(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Reset the instance as if built from a line and an angle.
- reset(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
-
Let the event handler reset the state if it wants.
- resetCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Resets the counter to 0.
- resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Reset internal state to dummy values.
- resetIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
-
Sets the iteration count to 0.
- resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Indicator that a state or derivative reset was triggered by some event.
- resetReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
-
Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL.
- resetState(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Reset the state prior to continue the integration.
- resetTables(int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Reallocate the internal tables.
- ResizableDoubleArray - Class in org.apache.commons.math3.util
-
A variable length
DoubleArray implementation that automatically
handles expanding and contracting its internal storage array as elements
are added and removed.
- ResizableDoubleArray() - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with default properties.
- ResizableDoubleArray(int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified initial capacity.
- ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance from an existing double[] with the
initial capacity and numElements corresponding to the size of
the supplied double[] array.
- ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
- ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified initial capacity
and expansion factor.
- ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
- ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified initial capacity,
expansion factor, and contraction criteria.
- ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
- ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified properties.
- ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Copy constructor.
- ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math3.util
-
Specification of expansion algorithm.
- ResizableDoubleArray.ExpansionMode() - Constructor for enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
-
- RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Multiplier for size growth when map fills up.
- RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Multiplier for size growth when map fills up.
- resolveTie(double[], List<Integer>) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Resolve a sequence of ties, using the configured
TiesStrategy.
- resplit(double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Recompute a split.
- restoreNaNs(double[], List<Integer>) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Set ranks[i] = Double.NaN for each i in nanPositions.
- restrictToNonNegative - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Whether to restrict the variables to non-negative values.
- restrictToNonNegative() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- restrictToNonNegative - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Whether to restrict the variables to non-negative values.
- reunite(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Compute the union of the instance and another sub-hyperplane.
- reunite(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Compute the union of the instance and another sub-hyperplane.
- reverse(int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- reverse(int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get a line with reversed direction.
- revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Revert a rotation.
- revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Revert the instance.
- revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Revert the plane.
- revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Revert the instance.
- rho - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Reflection coefficient.
- rho - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Reflection coefficient.
- rhs - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
the elements of the R`Y
- RiddersSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the
Ridders' Method for root finding of real univariate functions.
- RiddersSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Construct a solver with default accuracy (1e-6).
- RiddersSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Construct a solver.
- RiddersSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Construct a solver.
- right - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Right sub-tree.
- rint() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
- Rint - Class in org.apache.commons.math3.analysis.function
-
rint function.
- Rint() - Constructor for class org.apache.commons.math3.analysis.function.Rint
-
- rint() - Method in class org.apache.commons.math3.dfp.Dfp
-
Round to nearest integer using the round-half-even method.
- rint(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
- rMode - Variable in class org.apache.commons.math3.dfp.DfpField
-
Current rounding mode.
- rnorm - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
The current estimate of the norm of the residual.
- rnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of the updated, preconditioned residual P * r.
- robustnessIters - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
The number of robustness iterations parameter: this many
robustness iterations are done.
- ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Maximal number of iterations for Romberg.
- RombergIntegrator - Class in org.apache.commons.math3.analysis.integration
-
- RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Build a Romberg integrator with given accuracies and iterations counts.
- RombergIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Build a Romberg integrator with given iteration counts.
- RombergIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
- root - Variable in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Permutated Cholesky root of the symmetric positive semidefinite matrix.
- root - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Root of the covariance matrix.
- rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Calculates the root log-likelihood ratio for 2 state Datasets.
- rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
-
- rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Nth root.
- rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute nth root of a derivative structure.
- RootsOfUnity - Class in org.apache.commons.math3.complex
-
A helper class for the computation and caching of the n-th roots of
unity.
- RootsOfUnity() - Constructor for class org.apache.commons.math3.complex.RootsOfUnity
-
Build an engine for computing the n-th roots of unity.
- rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Rotate the plane around the specified point.
- rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Rotate the region around the specified point.
- rotateCCW() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Perform a counter-clockwise rotation rooted at the instance.
- rotateCW() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Perform a clockwise rotation rooted at the instance.
- rotation - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Vectorial rotation.
- Rotation - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class implements rotations in a three-dimensional space.
- Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from the quaternion coordinates.
- Rotation(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from an axis and an angle.
- Rotation(double[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from a 3X3 matrix.
- Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build the rotation that transforms a pair of vector into another pair.
- Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build one of the rotations that transform one vector into another one.
- Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from three Cardan or Euler elementary rotations.
- RotationOrder - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class is a utility representing a rotation order specification
for Cardan or Euler angles specification.
- RotationOrder(String, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Private constructor.
- round() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the closest long to instance value.
- round(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Round this given the next digit n using the current rounding mode.
- round(int) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Round this given the next digit n using the current rounding mode.
- round(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the closest long to x.
- round(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the closest int to x.
- round(double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- round(double, int, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- round(float, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- round(float, int, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- roundedK(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Calculates P(D_n < d) using method described in [1] and doubles
(see above).
- roundingMode - Variable in class org.apache.commons.math3.util.BigReal
-
Rounding mode for divisions.
- roundUnscaled(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given non-negative value to the "nearest" integer.
- row - Variable in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Row.
- rowPrefix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Row prefix.
- rows - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Number of rows of the matrix.
- rows - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Number of rows of the matrix.
- rows - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Number of rows of the matrix.
- rows - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Row dimension.
- rows - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- rowSeparator - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Row separator.
- rowSuffix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Row suffix.
- rsl - Variable in class org.apache.commons.math3.random.ISAACRandom
-
The results given to the user
- RSQ_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of R-Squared of regression
- rss - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
residual sum of squares for all nested regressions
- rss_set - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
has rss been called?
- RungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the common part of all fixed step Runge-Kutta
integrators for Ordinary Differential Equations.
- RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Simple constructor.
- RungeKuttaStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an
ODE integration for Runge-Kutta and embedded Runge-Kutta integrators.
- RungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Simple constructor.
- RungeKuttaStepInterpolator(RungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Copy constructor.
- s - Variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Intermediate result.
- S_LIMIT - Static variable in class org.apache.commons.math3.special.Gamma
-
S limit.
- SaddlePointExpansion - Class in org.apache.commons.math3.distribution
-
Utility class used by various distributions to accurately compute their
respective probability mass functions.
- SaddlePointExpansion() - Constructor for class org.apache.commons.math3.distribution.SaddlePointExpansion
-
Default constructor.
- SAFE_MIN - Static variable in class org.apache.commons.math3.util.Precision
-
Safe minimum, such that 1 / SAFE_MIN does not overflow.
- safeNorm(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns the Cartesian norm (2-norm), handling both overflow and underflow.
- safety - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Safety factor for stepsize control.
- safety - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Safety factor for stepsize control.
- sameOrientationAs(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Check if the instance has the same orientation as another hyperplane.
- sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Samples the specified univariate real function on the specified interval.
- sample() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Get the sample illuminating the element the most.
- sample() - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Generate a random sample from the distribution.
- sample() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Generates a random value vector sampled from this distribution.
- sample(int) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Generates a list of a random value vectors from the distribution.
- sample() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Generate a random sample from the distribution.
- sample() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
This implementation uses the following algorithms:
- sample() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Generate a random sample from the distribution.
- sample() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Generates a random value vector sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Generates a random value vector sampled from this distribution.
- sample() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Generates a random value vector sampled from this distribution.
- sample(int) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Generates a list of a random value vectors from the distribution.
- sample() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Generate a random sample from the distribution.
- sample() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Generate a random value sampled from this distribution.
- samples - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Sample data.
- sampleSize - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
The sample size.
- sampleStats - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Sample statistics
- samplingMatrix - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Matrix used in computation of samples.
- sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Check the integration span.
- sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Check the integration span.
- scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed absolute scalar error.
- scalarAdd(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Increment each entry of this matrix.
- scalarAdd(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of adding d to each entry of this.
- scalarAdd(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Increment each entry of this matrix.
- scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of adding d to each entry of this.
- scalarAdd(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Increment each entry of this matrix.
- scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of adding d to each entry of this.
- scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in interface org.apache.commons.math3.geometry.Vector
-
Multiply the instance by a scalar.
- scalarMultiply(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Multiply each entry by d.
- scalarMultiply(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of multiplying each entry of this by
d.
- scalarMultiply(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Multiply each entry by d.
- scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of multiplying each entry of this by
d.
- scalarMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Multiply each entry by d.
- scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of multiplying each entry of this by
d.
- scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Multiply the instance by a power of 2.
- scalb(double, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Multiply a double number by a power of 2.
- scalb(float, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Multiply a float number by a power of 2.
- scale - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
The scale of this distribution.
- scale - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The scale parameter.
- scale - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
The scale parameter of this distribution.
- scale - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
The scale parameter.
- scale - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Optional scaling matrix (weight and correlations) for the residuals.
- scale - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Penalty scales.
- scale - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.
Penalty scales.
- scale - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.
Optional scaling matrix (weight and correlations) for the residuals.
- scale - Variable in class org.apache.commons.math3.util.BigReal
-
BigDecimal scale
- scaleArray(double[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Multiply every component in the given real array by the
given real number.
- scaleArray(Complex[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Multiply every component in the given complex array by the
given real number.
- scaled - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
First scaled derivative (h y').
- scaled - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Current scaled first derivative.
- scaled - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
First scaled derivative.
- scalingH - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Step size used in the first scaled derivative and Nordsieck vector.
- scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed relative scalar error.
- SchurTransformer - Class in org.apache.commons.math3.linear
-
Class transforming a general real matrix to Schur form.
- SchurTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SchurTransformer
-
Build the transformation to Schur form of a general real matrix.
- SchurTransformer.ShiftInfo - Class in org.apache.commons.math3.linear
-
Internal data structure holding the current shift information.
- SchurTransformer.ShiftInfo() - Constructor for class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
-
- search(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
-
Find the minimum of the function f(p + alpha * d).
- search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Search new points that bracket a local optimum of the function.
- search(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.
Find the minimum of the function f(p + alpha * d).
- search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
Search new points that bracket a local optimum of the function.
- searchDirection - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Search direction.
- searchDirection - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Deprecated.
Search direction.
- searchForFitnessUpdate(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
-
Searches the population for a chromosome representing the same solution, and if it finds one,
updates the fitness to its value.
- searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
- searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
- SearchInterval - Class in org.apache.commons.math3.optim.univariate
-
Search interval and (optional) start value.
- SearchInterval(double, double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
-
- SearchInterval(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
-
- searchIntervalIndex - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
- searchMax - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Higher end of search interval.
- searchMax - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Higher end of search interval.
- searchMin - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Lower end of search interval.
- searchMin - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Lower end of search interval.
- searchStart - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Initial guess.
- searchStart - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
Initial guess .
- SecantSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Secant method for root-finding (approximating a
zero of a univariate real function).
- SecantSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Construct a solver with default accuracy (1e-6).
- SecantSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Construct a solver.
- SecantSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Construct a solver.
- second - Variable in class org.apache.commons.math3.genetics.ChromosomePair
-
the second chromosome in the pair.
- secondary - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Secondary diagonal.
- secondary - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Secondary diagonal of the tridiagonal matrix.
- secondary - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Secondary diagonal.
- SecondaryEquations - Interface in org.apache.commons.math3.ode
-
This interface allows users to add secondary differential equations to a primary
set of differential equations.
- secondaryMappers - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Equations mappers for the secondary equations sets.
- SecondMoment - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes a statistic related to the Second Central Moment.
- SecondMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Create a SecondMoment instance
- SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Copy constructor, creates a new SecondMoment identical
to the original
- secondMoment - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
SecondMoment is used to compute the mean and variance
- SecondOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
-
This interface represents a second order differential equations set.
- SecondOrderIntegrator - Interface in org.apache.commons.math3.ode
-
This interface represents a second order integrator for
differential equations.
- secRand - Variable in class org.apache.commons.math3.random.RandomDataGenerator
-
underlying secure random number generator
- Segment - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Simple container for a two-points segment.
- Segment(Vector3D, Vector3D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Build a segment.
- Segment - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Simple container for a two-points segment.
- Segment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Build a segment.
- select(Population) - Method in interface org.apache.commons.math3.genetics.SelectionPolicy
-
Select two chromosomes from the population.
- select(Population) - Method in class org.apache.commons.math3.genetics.TournamentSelection
-
Select two chromosomes from the population.
- select(double[], int[], int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Select the kth smallest element from work array
- selectColumns(RealMatrix, int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- selectColumns(RealMatrix, int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- selectedParameters - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Selected parameters for parameter Jacobian computation.
- selectionPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the selection policy used by the algorithm.
- SelectionPolicy - Interface in org.apache.commons.math3.genetics
-
Algorithm used to select a chromosome pair from a population.
- SemiVariance - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the semivariance of a set of values with respect to a given cutoff value.
- SemiVariance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with default (true) biasCorrected
property and default (Downside) varianceDirection property.
- SemiVariance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with the specified biasCorrected
property and default (Downside) varianceDirection property.
- SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with the specified Direction property
and default (true) biasCorrected property
- SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with the specified isBiasCorrected
property and the specified Direction property.
- SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Copy constructor, creates a new SemiVariance identical
to the original
- SemiVariance.Direction - Enum in org.apache.commons.math3.stat.descriptive.moment
-
The direction of the semivariance - either upside or downside.
- SemiVariance.Direction(boolean) - Constructor for enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Create a Direction with the given value.
- separator - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Separator.
- separator - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Separator.
- sequence - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
step size sequence.
- sequence(double, double, double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- sequence(double, double, double) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- serializeContext(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
- serializeMessages(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
- serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
-
serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
-
serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Serialization identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.Complex
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.ComplexField
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.Quaternion
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.RootsOfUnity
-
Serializable version id.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.BinomialDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.FDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.PascalDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.TDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.ConvergenceException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.DimensionMismatchException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathArithmeticException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathIllegalArgumentException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathIllegalNumberException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathIllegalStateException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathInternalError
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathParseException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathRuntimeException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MaxCountExceededException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NoBracketingException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NoDataException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotANumberException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotFiniteNumberException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotPositiveException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotStrictlyPositiveException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NullArgumentException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NumberIsTooLargeException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NumberIsTooSmallException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.OutOfRangeException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.TooManyEvaluationsException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.TooManyIterationsException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.exception.ZeroException
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Serializable version id.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.AbstractFormat
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFractionField
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.Fraction
-
Serializable version identifier
- serialVersionUID - Static variable in exception org.apache.commons.math3.fraction.FractionConversionException
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.FractionField
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.FractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in exception org.apache.commons.math3.genetics.InvalidRepresentationException
-
Serialization version id
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Serializable UID.
- serialVersionUID - Static variable in exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.ArrayFieldVector
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.ArrayRealVector
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.IllConditionedOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Serialization identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSquareMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSquareOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.SingularMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in exception org.apache.commons.math3.linear.SingularOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Serialization identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.EquationsMapper
-
Serializable UID.
- serialVersionUID - Static variable in exception org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
-
Serializable UID.
- serialVersionUID - Static variable in exception org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
-
Serializable UID.
- serialVersionUID - Static variable in exception org.apache.commons.math3.ode.MultistepIntegrator.InitializationCompletedMarkerException
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.ParameterConfiguration
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in exception org.apache.commons.math3.ode.UnknownParameterException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.optim.linear.UnboundedSolutionException
-
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
-
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointValuePair
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointVectorValuePair
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
-
Deprecated.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.
Serializable version id.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in exception org.apache.commons.math3.optimization.linear.UnboundedSolutionException
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.AbstractWell
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.JDKRandomGenerator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomAdaptor
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomDataGenerator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well1024a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well19937a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well19937c
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well44497a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well44497b
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well512a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.Cluster
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
The serialization version of this class
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Median
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Serialization id
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.Frequency.NaturalComparator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.Frequency
-
Serializable version identifier
- serialVersionUID - Static variable in exception org.apache.commons.math3.stat.regression.ModelSpecificationException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastCosineTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastFourierTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastHadamardTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastSineTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.BigReal
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.BigRealField
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.util.Decimal64
-
- serialVersionUID - Static variable in class org.apache.commons.math3.util.DefaultTransformer
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.util.IterationEvent
-
- serialVersionUID - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.TransformerMap
-
Serializable version identifier
- set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set a set of consecutive elements.
- set(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set all elements to a single value.
- set(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set all elements to a single value.
- set(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Set all elements to a single value.
- set(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Set all elements to a single value.
- set(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Set all elements to a single value.
- set(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Set all elements to a single value.
- set(Complex, int...) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
Set a matrix element.
- SET_QUANTILE_METHOD_NAME - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Name of the setQuantile method.
- setAngle(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Set the angle of the line.
- setArity(int) - Method in class org.apache.commons.math3.genetics.TournamentSelection
-
Sets the arity (number of chromosomes drawn to the tournament).
- setAttribute(Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Associate an attribute with the instance.
- setBarycenter(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Set the barycenter of the instance.
- setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Sets the biasCorrected property.
- setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
- setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
- setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
- setClockWise(boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Set the loop orientation.
- setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in column number column
as a column matrix.
- setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified column of this matrix to the entries
of the specified array.
- setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in column number column
as a column matrix.
- setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified column of this matrix to the entries
of the specified array.
- setColumn(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in column number column
as a column matrix.
- setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified column of this matrix to the entries
of the specified array.
- setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in column number column
as a column matrix.
- setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified column of this matrix to the entries
of the specified column matrix.
- setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in column number column
as a column matrix.
- setColumnMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Sets the entries in column number column
as a column matrix.
- setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified column of this matrix to the entries
of the specified column matrix.
- setColumnMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the entries in column number column
as a column matrix.
- setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in column number column
as a column matrix.
- setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified column of this matrix to the entries
of the specified column matrix.
- setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in column number column
as a vector.
- setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified column of this matrix to the entries
of the specified vector.
- setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in column number column
as a vector.
- setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified column of this matrix to the entries
of the specified vector.
- setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in column number column
as a vector.
- setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified column of this matrix to the entries
of the specified vector.
- setCompleteState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set the complete current state.
- setContractionCriteria(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.
As of 3.1 (to be removed in 4.0 as field will become "final").
- setControlFactors(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the step size control factors.
- setCost(double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Sets the cost.
- setCost(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Sets the cost.
- setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Set the data array.
- setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Set the data array.
- setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Set the data array.
- setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Set the data array.
- setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Modify the denominator format.
- setElement(int, int, StorelessBivariateCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Sets the covariance element at index (i, j) in the covariance matrix
- setElement(int, double) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Sets the element at the specified index.
- setElement(int, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Sets the element at the specified index.
- setElitismRate(double) - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Sets the elitism rate, i.e.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set a single element.
- setEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set a single element.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Set a single element.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Set the entry in the specified row and column.
- setEntry(int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Set a single element.
- setEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
-
Set a single element.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Set the entry in the specified row and column.
- setEntry(int, T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Set a single element.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Set an entry of the tableau.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Set an entry of the tableau.
- setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Set the equations.
- setExpansionFactor(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.
As of 3.1 (to be removed in 4.0 as field will become "final").
- setExpansionMode(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- setExpansionMode(ResizableDoubleArray.ExpansionMode) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.
As of 3.1 (to be removed in 4.0 as field will become "final").
- setFrame() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Reset the plane frame.
- setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the gemoetric mean.
- setHP(double) - Method in class org.apache.commons.math3.ode.ParameterConfiguration
-
Set parameter step.
- setIEEEFlags(int) - Method in class org.apache.commons.math3.dfp.DfpField
-
Sets the IEEE 854 status flags.
- setIEEEFlagsBits(int) - Method in class org.apache.commons.math3.dfp.DfpField
-
Sets some bits in the IEEE 854 status flags, without changing the already set bits.
- setImpl(StorelessUnivariateStatistic[], StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets statistics implementations.
- setIncoming(PolygonsSet.Edge) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Set incoming edge.
- setIndex(int) - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Set the index of the entry.
- setInitialCapacity(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.
As of 3.1, this is a no-op.
- setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set the initial value of the Jacobian matrix with respect to state.
- setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set the initial value of a column of the Jacobian matrix with respect to one parameter.
- setInitialStep(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
Set the initial step used to bracket the optimum in line search.
- setInitialStepSize(double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Set the initial step size.
- setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Set the time of the interpolated point.
- setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Set the time of the interpolated point.
- setInterpolatedTime(double) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Set the time of the interpolated point.
- setInterpolationControl(boolean, int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the interpolation order control parameter.
- setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the kurtosis.
- setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Set the maximal number of differential equations function evaluations.
- setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Set the maximal number of differential equations function evaluations.
- setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the maximal growth factor for stepsize control.
- setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Set the maximal growth factor for stepsize control.
- setMaximalCount(int) - Method in class org.apache.commons.math3.util.Incrementor
-
Sets the upper limit for the counter.
- setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the maximum.
- setMaxIterations(int) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
Set the maximal number of iterations of the algorithm.
- setMaxIterations(int) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
-
Deprecated.
Set the maximal number of iterations of the algorithm.
- setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the mean.
- setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the mean.
- setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the mean.
- setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the mean.
- setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the mean.
- setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the minimum.
- setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the minimum.
- setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the minimum.
- setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the minimum.
- setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the minimum.
- setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the minimal reduction factor for stepsize control.
- setMinReduction(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Set the minimal reduction factor for stepsize control.
- setMode(int) - Method in class org.apache.commons.math3.random.ValueServer
-
Sets the data generation mode.
- setMu(double) - Method in class org.apache.commons.math3.random.ValueServer
-
Sets the
mean used in data generation.
- setNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Set the node whose cut hyperplane contains this edge.
- setNoIntercept(boolean) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
- setNormal(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Set the normal vactor.
- setNumElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
This function allows you to control the number of elements contained
in this array, and can be used to "throw out" the last n values in an
array.
- setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Modify the numerator format.
- setOrderControl(int, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the order control parameters.
- setOriginOffset(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Set the offset of the origin.
- setOutgoing(PolygonsSet.Edge) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Set outgoing edge.
- setParameter(String, double) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
-
Set the value for a given parameter.
- setParameter(String, double) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Set the value for a given parameter.
- setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set a parameter Jacobian provider.
- setParameterStep(String, double) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set the step associated to a parameter in order to compute by finite
difference the Jacobian matrix.
- setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
- setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Store a new point at location index.
- setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Store a new point at location index.
- setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Replace all points.
- setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Replace all points.
- setPopulationLimit(int) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Sets the maximal population size.
- setPrimaryState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set primary part of the current state.
- setQuantile(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Sets the value of the quantile field (determines what percentile is
computed when evaluate() is called with no quantile argument).
- setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Set the (static) random generator.
- setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.DfpField
-
Set the rounding mode.
- setRoundingMode(RoundingMode) - Method in class org.apache.commons.math3.util.BigReal
-
Sets the rounding mode for decimal divisions.
- setRow(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in row number row
as a row matrix.
- setRow(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified row of this matrix to the entries
of the specified array.
- setRow(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in row number row
as a row matrix.
- setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified row of this matrix to the entries
of the specified array.
- setRow(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in row number row
as a row matrix.
- setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified row of this matrix to the entries
of the specified array.
- setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in row number row
as a row matrix.
- setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified row of this matrix to the entries of
the specified row matrix.
- setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in row number row
as a row matrix.
- setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Sets the entries in row number row
as a row matrix.
- setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified row of this matrix to the entries of
the specified row matrix.
- setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the entries in row number row
as a row matrix.
- setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in row number row
as a row matrix.
- setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified row of this matrix to the entries of
the specified row matrix.
- setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in row number row
as a vector.
- setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified row of this matrix to the entries of
the specified vector.
- setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in row number row
as a vector.
- setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified row of this matrix to the entries of
the specified vector.
- setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in row number row
as a vector.
- setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified row of this matrix to the entries of
the specified vector.
- setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the safety factor for stepsize control.
- setSafety(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Set the safety factor for stepsize control.
- setScale(int) - Method in class org.apache.commons.math3.util.BigReal
-
Sets the scale for division operations.
- setSecondaryState(int, double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set secondary part of the current state.
- setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Sets the PRNG algorithm for the underlying SecureRandom instance using
the Security Provider API.
- setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
Sets the PRNG algorithm for the underlying SecureRandom instance using
the Security Provider API.
- setSeed(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Sets the seed of the underlying random number generator using an
int array seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Sets the seed of the underlying random number generator using a
long seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.AbstractWell
-
Reinitialize the generator as if just built with the given int seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractWell
-
Reinitialize the generator as if just built with the given int array seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.AbstractWell
-
Reinitialize the generator as if just built with the given long seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Sets the seed of the underlying random number generator using an
int array seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Sets the seed of the underlying random number generator using a
long seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Sets the seed of the underlying random number generator using a
long seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Sets the seed of the underlying random number generator using an
int array seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
-
Sets the seed of the underlying random number generator using an
int array seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Reinitialize the generator as if just built with the given int seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Reinitialize the generator as if just built with the given int array seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Reinitialize the generator as if just built with the given long seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Sets the seed of the underlying random number generator using an
int array seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Sets the seed of the underlying random number generator using a
long seed.
- setSeed(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Sets the seed of the underlying random number generator using an
int array seed.
- setSeed(long) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Sets the seed of the underlying random number generator using a
long seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Sets the seed of the underlying random number generator using an
int array seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Sets the seed of the underlying random number generator using a
long seed.
- setSigma(double) - Method in class org.apache.commons.math3.random.ValueServer
-
- setSimplex(AbstractSimplex) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
- setSize(double) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Set the size of the instance.
- setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the skewness.
- setSoftCurrentTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Restrict step range to a limited part of the global step.
- setSoftPreviousTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Restrict step range to a limited part of the global step.
- setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the stability check controls.
- setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the starter integrator.
- setState(int) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Set the state by copying the internal arrays.
- setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Set the stateInitialized flag.
- setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Set the adaptive step size control parameters.
- setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Set the adaptive step size control parameters.
- setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Replace the submatrix starting at (row, column) using data in the
input subMatrix array.
- setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Replace the submatrix starting at row, column using data in the
input subMatrix array.
- setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Replace the submatrix starting at (row, column) using data in the
input subMatrix array.
- setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Replace the submatrix starting at row, column using data in the
input subMatrix array.
- setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Replace the submatrix starting at (row, column) using data in the
input subMatrix array.
- setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Replace the submatrix starting at row, column using data in the
input subMatrix array.
- setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Replace the submatrix starting at (row, column) using data in the
input subMatrix array.
- setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Replace the submatrix starting at row, column using data in the
input subMatrix array.
- setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set a set of consecutive elements.
- setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set a sequence of consecutive elements.
- setSubVector(int, double[]) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set a set of consecutive elements.
- setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Set a set of consecutive elements.
- setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Set a sequence of consecutive elements.
- setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Set a sequence of consecutive elements.
- setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Set a set of consecutive elements.
- setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the sum.
- setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the Sum.
- setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the Sum.
- setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the Sum.
- setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the Sum.
- setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the sum of squares.
- setTime(double) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set current time.
- setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Prepare for computation.
- setup(int, DifferentiableUnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.
Prepare for computation.
- setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Prepare for computation.
- setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Prepare for computation.
- setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Prepare for computation.
- setup(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Performs validity checks.
- setUp() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Method which a subclass
must override whenever its internal
state depend on the
input parsed by this base
class.
- setup(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
Performs validity checks.
- setUp() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Method which a subclass
must override whenever its internal
state depend on the
input parsed by this base
class.
- setValue(String, Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Sets the context (key, value) pair.
- setValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Deprecated.
Set the value of the entry.
- setValue(double) - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Set the value of the entry.
- setValueRange(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
- setValueRange(double) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- setValuesFileURL(String) - Method in class org.apache.commons.math3.random.ValueServer
-
- setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer
-
- setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Sets the variance direction
- setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the variance.
- setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the variance.
- setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the variance.
- setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Modify the whole format.
- setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Modify the whole format.
- setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
WindowSize controls the number of values that contribute to the
reported statistics.
- setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
WindowSize controls the number of values that contribute to the
reported statistics.
- SGN_MASK - Static variable in class org.apache.commons.math3.util.Precision
-
Offset to order signed double numbers lexicographically.
- SGN_MASK_FLOAT - Static variable in class org.apache.commons.math3.util.Precision
-
Offset to order signed double numbers lexicographically.
- shape - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The shape parameter.
- shape - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
The shape parameter of this distribution.
- shape - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
The shape parameter.
- sharedLineWith(PolygonsSet.Vertex) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get the common line bound with both the instance and another vertex, if any.
- shift(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Compute the coefficients of the polynomial Ps(x)
whose values at point x will be the same as the those from the
original polynomial P(x) when computed at x + shift.
- shift - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Copy of the shift parameter.
- shift() - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Shift one step forward.
- shift() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Shift one step forward.
- shiftedShape - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The constant value of
shape + g + 0.5, where
g is the
Lanczos constant
Gamma.LANCZOS_G.
- shiftLeft() - Method in class org.apache.commons.math3.dfp.Dfp
-
Shift the mantissa left, and adjust the exponent to compensate.
- shiftRight() - Method in class org.apache.commons.math3.dfp.Dfp
-
Shift the mantissa right, and adjust the exponent to compensate.
- SHORTCUT - Static variable in class org.apache.commons.math3.analysis.function.Sinc
-
Value below which the computations are done using Taylor series.
- shortValue() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation performs casting to a short.
- shouldContract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns true if the internal storage array has too many unused
storage positions.
- shouldGrowTable() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Check if tables should grow due to increased size.
- shouldGrowTable() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Check if tables should grow due to increased size.
- shuffle() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Shuffle array.
- shuffle(int[], int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Uses a 2-cycle permutation shuffle to randomly re-order the last elements
of list.
- side(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Compute the relative position of the instance with respect
to an hyperplane.
- side(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
-
Compute the relative position of the instance with respect
to an hyperplane.
- side(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Compute the relative position of the instance with respect
to an hyperplane.
- side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Compute the relative position of the instance with respect to an
hyperplane.
- side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Compute the relative position of the instance with respect
to an hyperplane.
- side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Compute the relative position of the instance with respect to an
hyperplane.
- Side - Enum in org.apache.commons.math3.geometry.partitioning
-
Enumerate representing the location of an element with respect to an
hyperplane of a space.
- Side() - Constructor for enum org.apache.commons.math3.geometry.partitioning.Side
-
- side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Compute the relative position of the instance with respect
to an hyperplane.
- sigma - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Standard deviation.
- sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Overall standard deviation - search volume.
- sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
-
Sigma values.
- sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Shrinkage coefficient.
- sigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Overall standard deviation - search volume.
- sigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
-
Deprecated.
Sigma values.
- sigma - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.
Shrinkage coefficient.
- sigma - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Standard deviation.
- sigma - Variable in class org.apache.commons.math3.random.ValueServer
-
Standard deviation for use with GAUSSIAN_MODE.
- Sigmoid - Class in org.apache.commons.math3.analysis.function
-
- Sigmoid() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
-
Usual sigmoid function, where the lower asymptote is 0 and the higher
asymptote is 1.
- Sigmoid(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
-
Sigmoid function.
- Sigmoid.Parametric - Class in org.apache.commons.math3.analysis.function
-
Parametric function where the input array contains the parameters of
the logit function, ordered as follows:
Lower asymptote
Higher asymptote
- Sigmoid.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
-
- sign - Variable in class org.apache.commons.math3.dfp.Dfp
-
Sign bit: 1 for positive, -1 for negative.
- sign(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Extract the sign from the bits of a double.
- SIGN_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Sign bit mask.
- signum() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute the signum of the instance.
- Signum - Class in org.apache.commons.math3.analysis.function
-
signum function.
- Signum() - Constructor for class org.apache.commons.math3.analysis.function.Signum
-
- signum(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the signum of a number.
- signum(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the signum of a number.
- SimpleBounds - Class in org.apache.commons.math3.optim
-
Simple optimization constraints: lower and upper bounds.
- SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optim.SimpleBounds
-
- SimpleBounds - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.
- SimplePointChecker<PAIR extends Pair<double[],? extends java.lang.Object>> - Class in org.apache.commons.math3.optim
-
- SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
-
Build an instance with specified thresholds.
- SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
-
Builds an instance with specified thresholds.
- SimplePointChecker<PAIR extends Pair<double[],? extends java.lang.Object>> - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimplePointChecker() - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
-
- SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.
Build an instance with specified thresholds.
- SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.
Builds an instance with specified thresholds.
- SimpleRegression - Class in org.apache.commons.math3.stat.regression
-
Estimates an ordinary least squares regression model
with one independent variable.
- SimpleRegression() - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
-
Create an empty SimpleRegression instance
- SimpleRegression(boolean) - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
-
Create a SimpleRegression instance, specifying whether or not to estimate
an intercept.
- SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optim.univariate
-
Simple implementation of the
ConvergenceChecker interface
that uses only objective function values.
- SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
Build an instance with specified thresholds.
- SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
Builds an instance with specified thresholds.
- SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optimization.univariate
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimpleUnivariateValueChecker() - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
- SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.
Build an instance with specified thresholds.
- SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.
Builds an instance with specified thresholds.
- SimpleValueChecker - Class in org.apache.commons.math3.optim
-
Simple implementation of the
ConvergenceChecker interface using
only objective function values.
- SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
-
Build an instance with specified thresholds.
- SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
-
Builds an instance with specified thresholds.
- SimpleValueChecker - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimpleValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
-
- SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.
Build an instance with specified thresholds.
- SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.
Builds an instance with specified thresholds.
- SimpleVectorValueChecker - Class in org.apache.commons.math3.optim
-
Simple implementation of the
ConvergenceChecker interface using
only objective function values.
- SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
Build an instance with specified thresholds.
- SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
Builds an instance with specified tolerance thresholds and
iteration count.
- SimpleVectorValueChecker - Class in org.apache.commons.math3.optimization
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimpleVectorValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
- SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.
Build an instance with specified thresholds.
- SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.
Builds an instance with specified tolerance thresholds and
iteration count.
- simplex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Simplex.
- simplex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
Simplex update rule.
- simplex - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Simplex.
- simplex - Variable in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
Simplex.
- SimplexOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements simplex-based direct search optimization.
- SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
- SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
- SimplexOptimizer - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimplexOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
- SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
- SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
- SimplexSolver - Class in org.apache.commons.math3.optim.linear
-
Solves a linear problem using the "Two-Phase Simplex" method.
- SimplexSolver() - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
-
Builds a simplex solver with default settings.
- SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
-
Builds a simplex solver with a specified accepted amount of error.
- SimplexSolver - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimplexSolver() - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Build a simplex solver with default settings.
- SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Build a simplex solver with a specified accepted amount of error
- SimplexTableau - Class in org.apache.commons.math3.optim.linear
-
A tableau for use in the Simplex method.
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexTableau
-
Builds a tableau for a linear problem.
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexTableau
-
Build a tableau for a linear problem.
- SimplexTableau - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.
As of 3.1 (to be removed in 4.0).
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Build a tableau for a linear problem.
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Build a tableau for a linear problem.
- SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Maximal number of iterations for Simpson.
- SimpsonIntegrator - Class in org.apache.commons.math3.analysis.integration
-
Implements
Simpson's Rule for integration of real univariate functions.
- SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Build a Simpson integrator with given accuracies and iterations counts.
- SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Build a Simpson integrator with given iteration counts.
- SimpsonIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Construct an integrator with default settings.
- sin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Sine operation.
- sin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute sine of a derivative structure.
- Sin - Class in org.apache.commons.math3.analysis.function
-
Sine function.
- Sin() - Constructor for class org.apache.commons.math3.analysis.function.Sin
-
- sin() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the
sine
of this complex number.
- sin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the sine of the argument.
- sin - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Sine of the line angle.
- sin(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Sine function.
- Sinc - Class in org.apache.commons.math3.analysis.function
-
Sinc function,
defined by
- Sinc() - Constructor for class org.apache.commons.math3.analysis.function.Sinc
-
The sinc function, sin(x) / x.
- Sinc(boolean) - Constructor for class org.apache.commons.math3.analysis.function.Sinc
-
Instantiates the sinc function.
- SINE_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
-
Sine table (high bits).
- SINE_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
-
Sine table (low bits).
- SINE_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
-
Sine, Cosine, Tangent tables are for 0, 1/8, 2/8, ...
- singcheck() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
The method which checks for singularities and then eliminates the offending
columns.
- singular - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Singularity indicator.
- singular - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Singularity indicator.
- singular - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Singularity indicator.
- singular - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Singularity indicator.
- SingularMatrixException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when a non-singular matrix is expected.
- SingularMatrixException() - Constructor for exception org.apache.commons.math3.linear.SingularMatrixException
-
Construct an exception.
- SingularOperatorException - Exception in org.apache.commons.math3.linear
-
Exception to be thrown when trying to invert a singular operator.
- SingularOperatorException() - Constructor for exception org.apache.commons.math3.linear.SingularOperatorException
-
Creates a new instance of this class.
- SingularValueDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the compact Singular Value Decomposition of a matrix.
- SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition
-
Calculates the compact Singular Value Decomposition of the given matrix.
- SingularValueDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- SingularValueDecomposition.Solver(double[], RealMatrix, RealMatrix, boolean, double) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Build a solver from decomposed matrix.
- singularValues - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Computed singular values.
- sinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Hyperbolic sine operation.
- sinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute hyperbolic sine of a derivative structure.
- Sinh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic sine function.
- Sinh() - Constructor for class org.apache.commons.math3.analysis.function.Sinh
-
- sinh() - Method in class org.apache.commons.math3.complex.Complex
-
- sinh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the hyperbolic sine of a number.
- sinInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes sin(a) Used when 0 < a < pi/4.
- sinQ(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute sine over the first quadrant (0 < x < pi/2).
- SIXTEEN - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- SIXTEEN - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- size - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Size of the instance.
- size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Get the number of elements of the tree rooted at this node.
- size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Get the number of elements of the tree.
- SIZE - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
Size of rsl[] and mem[]
- size - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
-
Counter sizes.
- size - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Current size of the map.
- size() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Get the number of elements stored in the map.
- size - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Current size of the map.
- size() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Get the number of elements stored in the map.
- SIZE_L - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
Log of size of rsl[] and mem[]
- sizes - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Number of partial derivatives (including the single 0 order derivative element).
- skew - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Skew factor.
- Skewness - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the skewness of the available values.
- Skewness() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Constructs a Skewness
- Skewness(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Constructs a Skewness with an external moment
- Skewness(Skewness) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Copy constructor, creates a new Skewness identical
to the original
- skewnessImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Skewness statistic implementation - can be reset by setter.
- slowCos(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
For x between 0 and pi/4 compute cosine using Talor series
cos(x) = 1 - x^2/2! + x^4/4! ...
- slowexp(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
For x between 0 and 1, returns exp(x), uses extended precision
- slowLog(double) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
xi in the range of [1, 2].
- slowSin(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
For x between 0 and pi/4 compute sine using Taylor expansion:
sin(x) = x - x^3/3! + x^5/5! - x^7/7! ...
- smartAdd(double, double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Adds to number a and b such that the contamination due to
numerical smallness of one addend does not corrupt the sum.
- smooth(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Compute a weighted loess fit on the data at the original abscissae.
- smooth(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Compute a loess fit on the data at the original abscissae.
- SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Generates a bicubic interpolation function.
- SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Default constructor.
- SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
- SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
- SNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator value for signaling NaN.
- snprod - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of s[1] * ...
- softCurrentTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
soft current time
- softPreviousTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
soft previous time
- solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Solve for a zero in the given interval, start at startValue.
- solve(int, FUNC, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Solve for a zero root in the given interval.
- solve(int, FUNC, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Solve for a zero in the vicinity of startValue.
- solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Solve for a zero in the given interval.
- solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Solve for a zero in the given interval, start at startValue.
- solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Solve for a zero in the given interval, start at startValue.
- solve(int, FUNC, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Solve for a zero root in the given interval.
- solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Solve for a zero in the given interval, start at startValue.
- solve(int, FUNC, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Solve for a zero in the vicinity of startValue.
- solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
-
Solve for a zero in the given interval.
- solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
-
Solve for a zero in the given interval, start at startValue.
- solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Solve for a zero in the given interval.
- solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Solve for a zero in the given interval, start at startValue.
- solve(Complex[], Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
-
Find a complex root for the polynomial with the given coefficients,
starting from the given initial value.
- solve(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Find a real root in the given interval.
- solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Find a zero near the midpoint of min and max.
- solve(int, DifferentiableUnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.
Find a zero near the midpoint of min and max.
- solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Convenience method to find a zero of a univariate real function.
- solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Convenience method to find a zero of a univariate real function.
- solve(int, UnivariateDfpFunction, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Solve for a zero in the given interval.
- solve(int, UnivariateDfpFunction, Dfp, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Solve for a zero in the given interval, start at startValue.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Solves the linear equation A × X = B for symmetric matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(FieldVector<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Solve the linear equation A × X = B.
- solve(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Solve the linear equation A × X = B in least square sense.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Solve the linear equation A × X = B in least square sense.
- solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system (A - shift
· I) · x = b.
- solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x =
b.
- solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns the solution to the system (A - shift · I) · x = b.
- solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x =
b.
- solveAll(Complex[], Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
-
Find all complex roots for the polynomial with the given
coefficients, starting from the given initial value.
- solveAllComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Find all complex roots for the polynomial with the given
coefficients, starting from the given initial value.
- solveComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Find a complex root for the polynomial with the given coefficients,
starting from the given initial value.
- solvedCols - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Number of solved point.
- solvedCols - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.
Number of solved point.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.ConjugateGradient
-
Returns an estimate of the solution to the linear system A · x =
b.
- solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x =
b.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x =
b.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system (A - shift
· I) · x = b.
- solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x =
b.
- solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
- solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Solve a system of composed of a Lower Triangular Matrix
RealMatrix.
- solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Solves Phase 1 of the Simplex method.
- solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.
Solves Phase 1 of the Simplex method.
- solver - Variable in class org.apache.commons.math3.ode.events.EventState
-
Root-finding algorithm to use to detect state events.
- solver - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
solver to use in the line search (may be null).
- solver - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
solver to use in the line search (may be null).
- SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Default accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Solver absolute accuracy for inverse cumulative computation
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
Inverse cumulative probability accuracy
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Inverse cumulative probability accuracy
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.FDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.TDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Inverse cumulative probability accuracy.
- solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Solver a system composed of an Upper Triangular Matrix
RealMatrix.
- sorted - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Sorted segments.
- sortedIndices(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Sorts fitness values.
- sortedIndices(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Sorts fitness values.
- sortedRepresentation - Variable in class org.apache.commons.math3.genetics.RandomKey
-
Cache of sorted representation (unmodifiable).
- sortingKey - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
-
Sorting key.
- sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
-
Sort an array in ascending order in place and perform the same reordering
of entries on other arrays.
- sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
-
Sort an array in place and perform the same reordering of entries on
other arrays.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Sort the observations.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Sort the observations with respect to the abscissa.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.
Sort the observations.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.
Sort the observations with respect to the abscissa.
- sortPairs(GoalType) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Sort the optima from best to worst, followed by null elements.
- sortPairs(GoalType) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Sort the optima from best to worst, followed by null elements.
- sortPairs(double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Sort the optima from best to worst, followed by null elements.
- sortPairs(GoalType) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Sort the optima from best to worst, followed by null elements.
- source - Variable in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Source string.
- sourceFormat - Variable in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Source English format.
- Space - Interface in org.apache.commons.math3.geometry
-
This interface represents a generic space, with affine and vectorial counterparts.
- SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
-
Deprecated.
As of version 3.1, this class is deprecated, for reasons exposed
in this JIRA
ticket. This
class will be removed in version 4.0.
- SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Create a matrix with no data.
- SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Create a new SparseFieldMatrix with the supplied row and column
dimensions.
- SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Copy constructor.
- SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Deprecated.
Generic copy constructor.
- SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
-
Deprecated.
As of version 3.1, this class is deprecated, for reasons exposed
in this JIRA
ticket. This
class will be removed in version 4.0.
- SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Build a 0-length vector.
- SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Construct a vector of zeroes.
- SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Build a resized vector, for use with append.
- SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Build a vector with known the sparseness (for advanced use only).
- SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Create from a Field array.
- SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Copy constructor.
- sparseIterator() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Create a sparse iterator over the vector, which may omit some entries.
- sparseIterator() - Method in class org.apache.commons.math3.linear.RealVector
-
Deprecated.
As of 3.1, this method is deprecated, because its interface
is too confusing (see
JIRA MATH-875).
This method will be completely removed in 4.0.
- SparseRealMatrix - Interface in org.apache.commons.math3.linear
-
Deprecated.
As of version 3.1, this class is deprecated, for reasons exposed
in this JIRA
ticket. This
class will be removed in version 4.0.
- SparseRealVector - Class in org.apache.commons.math3.linear
-
Deprecated.
As of version 3.1, this class is deprecated, for reasons exposed
in this JIRA
ticket. This
class will be removed in version 4.0.
- SparseRealVector() - Constructor for class org.apache.commons.math3.linear.SparseRealVector
-
Deprecated.
- SpearmansCorrelation - Class in org.apache.commons.math3.stat.correlation
-
Spearman's rank correlation.
- SpearmansCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation without data.
- SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation with the given ranking algorithm.
- SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation from the given data matrix.
- SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation with the given input data matrix
and ranking algorithm.
- SplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
- SplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
-
- splines - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Set of cubic splines patching the whole data grid
- splines - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Set of cubic splines pacthing the whole data grid
- split(String) - Method in class org.apache.commons.math3.dfp.DfpField
-
Breaks a string representation up into two
Dfp's.
- split(DfpField, String) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Breaks a string representation up into two dfp's.
- split(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Splits a
Dfp into 2
Dfp's such that their sum is equal to the input
Dfp.
- split(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
-
Split the instance in two parts by an hyperplane.
- split(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Split the edge.
- split(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Split the instance in two parts by an hyperplane.
- split(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Split a BSP tree by an external sub-hyperplane.
- split(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Split the instance in two parts by an hyperplane.
- split(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Compute split[0], split[1] such that their sum is equal to d,
and split[0] has its 30 least significant bits as zero.
- SPLIT_FACTOR - Static variable in class org.apache.commons.math3.util.MathArrays
-
Factor used for splitting double numbers: n = 2^27 + 1 (i.e.
- splitAdd(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Add two numbers in split form.
- splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Divide two numbers that are split in to two pieces that are meant to be added together.
- splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Multiply two numbers that are split in to two pieces that are
meant to be added together.
- splitMult(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Multiply two numbers in split form.
- splitPow(Dfp[], int) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Raise a split base to the a power.
- splitReciprocal(double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Compute the reciprocal of in.
- sqr2 - Variable in class org.apache.commons.math3.dfp.DfpField
-
- sqr2Reciprocal - Variable in class org.apache.commons.math3.dfp.DfpField
-
- sqr2ReciprocalString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √2 / 2.
- sqr2Split - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp array with value √2 split in two pieces.
- sqr2String - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √2.
- sqr3 - Variable in class org.apache.commons.math3.dfp.DfpField
-
- sqr3Reciprocal - Variable in class org.apache.commons.math3.dfp.DfpField
-
- sqr3ReciprocalString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √3 / 3.
- sqr3String - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √3.
- sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Square root.
- Sqrt - Class in org.apache.commons.math3.analysis.function
-
Square-root function.
- Sqrt() - Constructor for class org.apache.commons.math3.analysis.function.Sqrt
-
- sqrt() - Method in class org.apache.commons.math3.complex.Complex
-
- sqrt() - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute the square root.
- sqrt() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Returns the square root of this diagonal operator.
- sqrt(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- sqrt(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- sqrt(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the square root of a number.
- sqrt1z() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the
square root of
1 - this2 for this complex
number.
- SQRT2 - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
√(2)
- SQRT2 - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
-
√(2)
- SQRT2PI - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
√(2 π)
- SQRT2PI - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
-
√(2 π)
- SQRT3 - Static variable in class org.apache.commons.math3.random.UniformRandomGenerator
-
Square root of three.
- SQRT_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by square root.
- SQRT_TWO_PI - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant value of √(2π).
- square(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- square(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- squareRoot(RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Computes the square-root of the weight matrix.
- squareRoot(RealMatrix) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
Computes the square-root of the weight matrix.
- ss() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Calculates the sum of squared errors for the full regression
and all subsets in the following manner:
- SSE_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Sum of Squared Errors
- sserr - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
sum of squared errors of largest regression
- SST_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Sum of Squares of Model
- stabilityReduction - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
stepsize reduction factor in case of stability check failure.
- StableRandomGenerator - Class in org.apache.commons.math3.random
-
This class provides a stable normalized random generator.
- StableRandomGenerator(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.random.StableRandomGenerator
-
Create a new generator.
- stage(int) - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Compute the n-th stage integral.
- stage(int) - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.
Compute the n-th stage integral.
- stage(BaseAbstractUnivariateIntegrator, int) - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Compute the n-th stage integral of trapezoid rule.
- standardDeviation - Variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Standard deviation of this distribution.
- standardDeviation - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Standard deviation vector.
- StandardDeviation - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the sample standard deviation.
- StandardDeviation() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Constructs a StandardDeviation.
- StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Constructs a StandardDeviation from an external second moment.
- StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Copy constructor, creates a new StandardDeviation identical
to the original
- StandardDeviation(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Contructs a StandardDeviation with the specified value for the
isBiasCorrected property.
- StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Contructs a StandardDeviation with the specified value for the
isBiasCorrected property and the supplied external moment.
- start - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Start point of the segment.
- start - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Start vertex.
- start - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Start point of the segment.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
-
Start visiting a vector.
- start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
-
Start visiting a vector.
- start(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Start the integration.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Start visiting a matrix.
- start - Variable in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Initial guess.
- start - Variable in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Start value.
- start - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Initial guess.
- start - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
Initial guess.
- start - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
Initial guess.
- start() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- startConfiguration - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Start simplex configuration.
- startConfiguration - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.
Start simplex configuration.
- starter - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Starter integrator.
- startIndex - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The position of the first addressable element in the internal storage
array.
- starts - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.
Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.
Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.
Number of starts to go.
- state - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
State.
- stateDim - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Main state vector dimension.
- stateDot - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
State derivative.
- stateEstimation - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The internal state estimation vector, equivalent to x hat.
- states - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
States table.
- states - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
States table.
- statesInitialized - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Initialization indicator of events states.
- stateTransitionMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The state transition matrix, used to advance the internal state estimation each time-step.
- stateVariation - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
State variation.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
-
Internal weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
-
Propagation weights Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
-
Time steps Butcher array.
- STATIC_E - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Error weights Butcher array.
- StatisticalMultivariateSummary - Interface in org.apache.commons.math3.stat.descriptive
-
Reporting interface for basic multivariate statistics.
- StatisticalSummary - Interface in org.apache.commons.math3.stat.descriptive
-
Reporting interface for basic univariate statistics.
- StatisticalSummaryValues - Class in org.apache.commons.math3.stat.descriptive
-
Value object representing the results of a univariate statistical summary.
- StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Constructor
- statistics - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
The SummaryStatistics in which aggregate statistics are accumulated.
- statisticsDHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of D matrix.
- statisticsDHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
History of D matrix.
- statisticsFitnessHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of fitness values.
- statisticsFitnessHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
History of fitness values.
- statisticsMeanHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of mean matrix.
- statisticsMeanHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
History of mean matrix.
- statisticsPrototype - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
A SummaryStatistics serving as a prototype for creating SummaryStatistics
contributing to this aggregate
- statisticsSigmaHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of sigma values.
- statisticsSigmaHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
History of sigma values.
- StatUtils - Class in org.apache.commons.math3.stat
-
StatUtils provides static methods for computing statistics based on data
stored in double[] arrays.
- StatUtils() - Constructor for class org.apache.commons.math3.stat.StatUtils
-
Private Constructor
- step - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Integration step.
- stepAccepted(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
-
Acknowledge the fact the step has been accepted by the integrator.
- stepControl1 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
first stepsize control factor.
- stepControl2 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
second stepsize control factor.
- stepControl3 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
third stepsize control factor.
- stepControl4 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
fourth stepsize control factor.
- StepFunction - Class in org.apache.commons.math3.analysis.function
-
- StepFunction(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.function.StepFunction
-
Builds a step function from a list of arguments and the corresponding
values.
- StepHandler - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents a handler that should be called after
each successful step.
- stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Step handler.
- StepInterpolator - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents an interpolator over the last step
during an ODE integration.
- StepNormalizer - Class in org.apache.commons.math3.ode.sampling
-
- StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizerBounds - Enum in org.apache.commons.math3.ode.sampling
-
- StepNormalizerBounds(boolean, boolean) - Constructor for enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Simple constructor.
- StepNormalizerMode - Enum in org.apache.commons.math3.ode.sampling
-
- StepNormalizerMode() - Constructor for enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
-
- steps - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Steps table.
- stepSize - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Step size.
- stepSize - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Current stepsize.
- stepStart - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Current step start time.
- STIRLING_S2 - Static variable in class org.apache.commons.math3.util.ArithmeticUtils
-
Stirling numbers of the second kind.
- stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
- stop() - Method in class org.apache.commons.math3.ode.events.EventState
-
Check if the integration should be stopped at the end of the
current step.
- stopFitness - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Limit for fitness value.
- stopFitness - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Limit for fitness value.
- StoppingCondition - Interface in org.apache.commons.math3.genetics
-
Algorithm used to determine when to stop evolution.
- stoppingTrustRegionRadius - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
stoppingTrustRegionRadius XXX
- stoppingTrustRegionRadius - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
stoppingTrustRegionRadius XXX
- stopTolFun - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if fun-changes smaller stopTolFun.
- stopTolFun - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Stop if fun-changes smaller stopTolFun.
- stopTolHistFun - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if back fun-changes smaller stopTolHistFun.
- stopTolHistFun - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Stop if back fun-changes smaller stopTolHistFun.
- stopTolUpX - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if x-changes larger stopTolUpX.
- stopTolUpX - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Stop if x-changes larger stopTolUpX.
- stopTolX - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if x-change smaller stopTolX.
- stopTolX - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
Stop if x-change smaller stopTolX.
- store(double, Map.Entry<RealVector, Double>) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Store the illumination and index of the brightest sample.
- store(PAIR) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Method that will be called in order to store each found optimum.
- store(PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Method that will be called in order to store each found optimum.
- store(PointVectorValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Method that will be called in order to store each found optimum.
- storedData - Variable in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Stored data.
- StorelessBivariateCovariance - Class in org.apache.commons.math3.stat.correlation
-
Bivariate Covariance implementation that does not require input data to be
stored in memory.
- StorelessBivariateCovariance() - Constructor for class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
- StorelessBivariateCovariance(boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
- StorelessCovariance - Class in org.apache.commons.math3.stat.correlation
-
Covariance implementation that does not require input data to be
stored in memory.
- StorelessCovariance(int) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Create a bias corrected covariance matrix with a given dimension.
- StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Create a covariance matrix with a given number of rows and columns and the
indicated bias correction.
- StorelessUnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
-
- storeStep(StepInterpolator, double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Stores the interpolated information for the given time in the current
state.
- storeTime(double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Store the current step time.
- storeTime(double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Store the current step time.
- storeTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Store the current step time.
- strict - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Whether the sequence must be strictly increasing or decreasing.
- strictlyNegative() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is strictly less than 0.
- strictlyPositive() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is strictly greater than 0.
- stringValue - Variable in enum org.apache.commons.math3.optim.linear.Relationship
-
Display string for the relationship.
- stringValue - Variable in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.
Display string for the relationship.
- subAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Subtract two integers, checking for overflow.
- subAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Subtract two long integers, checking for overflow.
- SubHyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface represents the remaining parts of an hyperplane after
other parts have been chopped off.
- SubHyperplane.SplitSubHyperplane<U extends Space> - Class in org.apache.commons.math3.geometry.partitioning
-
Class holding the results of the
split method.
- SubHyperplane.SplitSubHyperplane(SubHyperplane<U>, SubHyperplane<U>) - Constructor for class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Build a SplitSubHyperplane from its parts.
- SubLine - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents a subset of a
Line.
- SubLine(Line, IntervalsSet) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Simple constructor.
- SubLine(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Create a sub-line from two endpoints.
- SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Create a sub-line from a segment.
- SubLine - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represents a sub-hyperplane for
Line.
- SubLine(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Simple constructor.
- SubLine(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Create a sub-line from two endpoints.
- SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Create a sub-line from a segment.
- SubOrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
-
- SubOrientedPoint(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Simple constructor.
- SubPlane - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents a sub-hyperplane for
Plane.
- SubPlane(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
-
Simple constructor.
- substituteMostRecentElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Substitutes value for the most recently added value.
- subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'-' operator.
- subtract(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'-' operator.
- subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform subtraction of two derivative structures.
- Subtract - Class in org.apache.commons.math3.analysis.function
-
Subtract the second operand from the first.
- Subtract() - Constructor for class org.apache.commons.math3.analysis.function.Subtract
-
- subtract(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Subtract a polynomial from the instance.
- subtract(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is
(this - subtrahend).
- subtract(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a Complex whose value is
(this - subtrahend).
- subtract(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Subtracts two quaternions.
- subtract(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Subtracts a quaternion from the instance.
- subtract(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Subtract x from this.
- subtract(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this - a.
- subtract(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of an BigInteger from the value of this
BigFraction, returning the result in reduced form.
- subtract(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of an integer from the value of this
BigFraction, returning the result in reduced form.
- subtract(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of a long from the value of this
BigFraction, returning the result in reduced form.
- subtract(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of another fraction from the value of this one,
returning the result in reduced form.
- subtract(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Subtracts the value of another fraction from the value of this one,
returning the result in reduced form.
- subtract(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Subtract an integer from the fraction.
- subtract(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Subtract a vector from the instance.
- subtract(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Subtract a scaled vector from the instance.
- subtract(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Subtract a vector from the instance.
- subtract(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Subtract a scaled vector from the instance.
- subtract(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Subtract a vector from the instance.
- subtract(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Subtract a scaled vector from the instance.
- subtract(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Subtract a vector from the instance.
- subtract(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Subtract a scaled vector from the instance.
- subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Subtract m from this matrix.
- subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns this minus m.
- subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Subtract m from this matrix.
- subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns this minus m.
- subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute this minus v.
- subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute this minus v.
- subtract(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Subtract v from this vector.
- subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Subtract m from this matrix.
- subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Compute this - m.
- subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns this minus m.
- subtract(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Subtract m from this matrix.
- subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Subtract m from this matrix.
- subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Compute this minus v.
- subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Returns this minus m.
- subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Deprecated.
Subtract m from this matrix.
- subtract(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Optimized method to subtract OpenMapRealVectors.
- subtract(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Subtract v from this vector.
- subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns this minus m.
- subtract(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Subtract v from this vector.
- subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Optimized method to compute this minus v.
- subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Compute this minus v.
- subtract(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this - a.
- subtract(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this - a.
- subtractRow(int, int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Subtracts a multiple of one row from another.
- subtractRow(int, int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
Subtracts a multiple of one row from another.
- suffix - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Suffix.
- suffix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Suffix.
- suffix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Suffix.
- sum - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The sum of the sample values
- Sum - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the sum of the available values.
- Sum() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Create a Sum instance
- Sum(Sum) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Copy constructor, creates a new Sum identical
to the original
- sum - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
sum of values that have been added
- SUM - Static variable in class org.apache.commons.math3.stat.StatUtils
-
sum
- sum(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the values in the input array, or
Double.NaN if the array is empty.
- sum(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- SUM_OF_LOGS - Static variable in class org.apache.commons.math3.stat.StatUtils
-
sumLog
- SUM_OF_SQUARES - Static variable in class org.apache.commons.math3.stat.StatUtils
-
sumSq
- sumDeltaMinusDeltaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the value of Δ(p) + Δ(q) - Δ(p + q), with p, q ≥ 10.
- sumDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the (signed) differences between corresponding elements of the
input arrays -- i.e., sum(sample1[i] - sample2[i]).
- sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sum statistic implementation - can be reset by setter.
- sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sum statistic implementation - can be reset by setter.
- sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sum statistic implementation - can be reset by setter.
- sumLog - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
sumLog of values that have been added
- sumLog(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the natural logs of the entries in the input array, or
Double.NaN if the array is empty.
- sumLog(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the natural logs of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- sumLogImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sum of log statistic implementation - can be reset by setter.
- sumLogImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sum of log statistic implementation - can be reset by setter.
- SummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Computes summary statistics for a stream of data values added using the
addValue method.
- SummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Construct a SummaryStatistics instance
- SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
A copy constructor.
- sumOfLogs - Variable in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Wrapped SumOfLogs instance
- SumOfLogs - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the sum of the natural logs for this collection of values.
- SumOfLogs() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Create a SumOfLogs instance
- SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Copy constructor, creates a new SumOfLogs identical
to the original
- SumOfSquares - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the sum of the squares of the available values.
- SumOfSquares() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Create a SumOfSquares instance
- SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Copy constructor, creates a new SumOfSquares identical
to the original
- sumRows(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
- sumRows(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- sums - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Sums for each component.
- sumsq - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
sum of the square of each value that has been added
- sumSq(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the squares of the entries in the input array, or
Double.NaN if the array is empty.
- sumSq(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the squares of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- sumsqImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sum of squares statistic implementation - can be reset by setter.
- sumSqImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sum of squares statistic implementation - can be reset by setter.
- sumsqImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sum of squares statistic implementation - can be reset by setter.
- sumsqy - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
summation of squared Y values
- sumX - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
sum of x values
- sumXX - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
total variation in x (sum of squared deviations from xbar)
- sumXY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
sum of products
- sumy - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
summation of Y variable
- sumY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
sum of y values
- sumYY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
total variation in y (sum of squared deviations from ybar)
- surrounded - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Surrounded loops.
- SymmLQ - Class in org.apache.commons.math3.linear
-
- SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
-
- SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
-
- SymmLQ.State - Class in org.apache.commons.math3.linear
-
A simple container holding the non-final variables used in the
iterations.
- SymmLQ.State(RealLinearOperator, RealLinearOperator, RealVector, boolean, double, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ.State
-
Creates and inits to k = 1 a new instance of this class.
- SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
-
- SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Construct an instance with infinite window
- SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Construct an instance with finite window
- SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
A copy constructor.
- SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
- SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Construct a SynchronizedMultivariateSummaryStatistics instance
- SynchronizedRandomGenerator - Class in org.apache.commons.math3.random
-
Any
RandomGenerator implementation can be thread-safe if it
is used through an instance of this class.
- SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Creates a synchronized wrapper for the given RandomGenerator
instance.
- SynchronizedSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Implementation of
SummaryStatistics that
is safe to use in a multithreaded environment.
- SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Construct a SynchronizedSummaryStatistics instance
- SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
A copy constructor.
- v - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
First exponent.
- v - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Ordinate axis of the projection plane.
- v - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Second vector of the plane frame (in plane).
- v - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Vectors for interpolation.
- v - Variable in class org.apache.commons.math3.random.AbstractWell
-
Bytes pool.
- v1 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
First vector for interpolation.
- v2 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Second vector for interpolation.
- v3 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Third vector for interpolation.
- v4 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Fourth vector for interpolation.
- validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Validates that the x data and covariance matrix have the same
number of rows and that the covariance matrix is square.
- validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
-
- validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
-
- validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
-
- validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
-
- validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
-
- validateSampleData(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Validates sample data.
- value(double, double) - Method in interface org.apache.commons.math3.analysis.BivariateFunction
-
Compute the value for the function.
- value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.GradientFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
-
Compute the value for the function at the given point.
- value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction
-
Compute the value for the function at the given point.
- value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
-
Compute the value for the function at the given point.
- value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction
-
Simple mathematical function.
- value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableMatrixFunction
-
Compute the value for the function.
- value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableVectorFunction
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Abs
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Acos
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acos
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Acosh
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acosh
-
Simple mathematical function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Add
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Asin
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asin
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Asinh
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asinh
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Atan
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atan
-
Simple mathematical function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Atan2
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Atanh
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atanh
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Cbrt
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cbrt
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Ceil
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Constant
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Constant
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Cos
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cos
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Cosh
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cosh
-
Simple mathematical function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Divide
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Exp
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Exp
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Expm1
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Expm1
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Floor
-
Compute the value of the function.
- value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
-
Computes the value of the Gaussian at x.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Gaussian
-
Compute the value of the function.
- value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Gaussian
-
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Gaussian
-
Simple mathematical function.
- value(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
-
Computes the value of the harmonic oscillator at x.
- value(double) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Compute the value of the function.
- value(double, double) - Static method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Identity
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Identity
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Inverse
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Inverse
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Log
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Log10
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log10
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Log1p
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log1p
-
Simple mathematical function.
- value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
-
Computes the value of the sigmoid at x.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Logistic
-
Compute the value of the function.
- value(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Logistic
-
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logistic
-
Simple mathematical function.
- value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
-
Computes the value of the logit at x.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Logit
-
Compute the value of the function.
- value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Logit
-
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logit
-
Simple mathematical function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Max
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Min
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Minus
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Minus
-
Simple mathematical function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Multiply
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Pow
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Power
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Power
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Rint
-
Compute the value of the function.
- value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
-
Computes the value of the sigmoid at x.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
-
Compute the value of the function.
- value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Sigmoid
-
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Signum
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sin
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sin
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sinc
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinc
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sinh
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinh
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sqrt
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sqrt
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.StepFunction
-
Compute the value of the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Subtract
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Tan
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tan
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Tanh
-
Compute the value of the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tanh
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Ulp
-
Compute the value of the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Interpolate value at a specified abscissa.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Interpolate value at a specified abscissa.
- value(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
- value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
-
- value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Compute the value for the function.
- value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateMatrixFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateVectorFunction
-
Compute the value for the function at the given point.
- value(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
-
Compute the value of the function.
- value(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Compute the value of the function for the given argument.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Calculate the function value at the given point.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Calculate the function value at the given point.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Simple mathematical function.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Compute the value for the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Simple mathematical function.
- value(double, double, double) - Method in interface org.apache.commons.math3.analysis.TrivariateFunction
-
Compute the value for the function.
- value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateFunction
-
Compute the value of the function.
- value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateMatrixFunction
-
Compute the value for the function.
- value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateVectorFunction
-
Compute the value for the function.
- value(Dfp) - Method in interface org.apache.commons.math3.dfp.UnivariateDfpFunction
-
Compute the value of the function.
- value - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Value of the constraint (right hand side).
- value(double[]) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Computes the value of the linear equation at the current point.
- value(RealVector) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Computes the value of the linear equation at the current point.
- value(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Compute the value of the function.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Compute the underlying function value from an unbounded point.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Computes the underlying function value from an unbounded point.
- value - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
-
Value to compare.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
- value - Variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
Value to compare.
- value(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.
Compute the underlying function value from an unbounded point.
- value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.
Compute the underlying function value from an unbounded point.
- value(double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
-
Deprecated.
Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.
Compute the value for the function at the given point.
- value(DerivativeStructure[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.
Compute the value for the function at the given point.
- value(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Deprecated.
Compute the value of the function.
- value(double[]) - Method in class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.
Compute the value for the function at the given point.
- value - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
Value of the constraint (right hand side).
- value - Variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Current value of the statistic
- value - Variable in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Current value of the statistic
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.Product
-
The current Running Product.
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The currently running sum.
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
The currently running value
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
The currently running sumSq
- value - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Value of the pair
- value - Variable in class org.apache.commons.math3.util.Decimal64
-
The primitive double value of this object.
- value() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Get the value of current entry.
- value() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Get the value of current entry.
- value - Variable in class org.apache.commons.math3.util.Pair
-
Value.
- valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
-
Returns the enum constant of this type with the specified name.
- valueOf(double, double) - Static method in class org.apache.commons.math3.complex.Complex
-
Create a complex number given the real and imaginary parts.
- valueOf(double) - Static method in class org.apache.commons.math3.complex.Complex
-
Create a complex number given only the real part.
- valueOf(String) - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.Relationship
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.DctNormalization
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.DftNormalization
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.DstNormalization
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.TransformType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
-
Returns the enum constant of this type with the specified name.
- valueRange - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
Determines the penalty for boundary violations
- valueRange - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
Determines the penalty for boundary violations
- values() - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optim.linear.Relationship
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.DctNormalization
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.DftNormalization
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.DstNormalization
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.TransformType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Values table.
- values - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Values table.
- values() - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- ValueServer - Class in org.apache.commons.math3.random
-
Generates values for use in simulation applications.
- ValueServer() - Constructor for class org.apache.commons.math3.random.ValueServer
-
Creates new ValueServer
- ValueServer(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.ValueServer
-
- ValueServer(RandomGenerator) - Constructor for class org.apache.commons.math3.random.ValueServer
-
Construct a ValueServer instance using a RandomGenerator as its source
of random data.
- valuesFileURL - Variable in class org.apache.commons.math3.random.ValueServer
-
URI to raw data values.
- valuesIterator() - Method in class org.apache.commons.math3.stat.Frequency
-
Returns an Iterator over the set of values that have been added.
- varCovData - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
variance covariance matrix of parameters
- variables - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Number of variables.
- variance - Variable in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Wrapped Variance instance
- Variance - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the variance of the available values.
- Variance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance with default (true) isBiasCorrected
property.
- Variance(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance based on an external second moment.
- Variance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance with the specified isBiasCorrected
property
- Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance with the specified isBiasCorrected
property and the supplied external second moment.
- Variance(Variance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Copy constructor, creates a new Variance identical
to the original
- variance - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The sample variance
- variance - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
variance of values that have been added
- VARIANCE - Static variable in class org.apache.commons.math3.stat.StatUtils
-
variance
- variance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the input array, or
Double.NaN if the array is empty.
- variance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the specified portion of
the input array, or Double.NaN if the designated subarray
is empty.
- variance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the specified portion of
the input array, using the precomputed mean value.
- variance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the input array, using the
precomputed mean value.
- varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the (signed) differences between corresponding elements of the
input arrays -- i.e., var(sample1[i] - sample2[i]).
- varianceDirection - Variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Determines whether to calculate downside or upside SemiVariance.
- varianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Variance statistic implementation - can be reset by setter.
- varianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Variance statistic implementation - can be reset by setter.
- vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed absolute vectorial error.
- vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed relative vectorial error.
- Vector<S extends Space> - Interface in org.apache.commons.math3.geometry
-
This interface represents a generic vector in a vectorial space or a point in an affine space.
- VECTOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
-
- VECTOR - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- VECTOR1 - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- Vector1D - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents a 1D vector.
- Vector1D(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Simple constructor.
- Vector1D(double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Multiplicative constructor
Build a vector from another one and a scale factor.
- Vector1D(double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Linear constructor
Build a vector from two other ones and corresponding scale factors.
- Vector1D(double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Linear constructor
Build a vector from three other ones and corresponding scale factors.
- Vector1D(double, Vector1D, double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Linear constructor
Build a vector from four other ones and corresponding scale factors.
- Vector1DFormat - Class in org.apache.commons.math3.geometry.euclidean.oned
-
Formats a 1D vector in components list format "{x}".
- Vector1DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with default settings.
- Vector1DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with a custom number format for components.
- Vector1DFormat(String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with custom prefix, suffix and separator.
- Vector1DFormat(String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with custom prefix, suffix, separator and format
for components.
- VECTOR2 - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- Vector2D - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represents a 2D vector.
- Vector2D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Simple constructor.
- Vector2D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Simple constructor.
- Vector2D(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Multiplicative constructor
Build a vector from another one and a scale factor.
- Vector2D(double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Linear constructor
Build a vector from two other ones and corresponding scale factors.
- Vector2D(double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Linear constructor
Build a vector from three other ones and corresponding scale factors.
- Vector2D(double, Vector2D, double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Linear constructor
Build a vector from four other ones and corresponding scale factors.
- Vector2DFormat - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Formats a 2D vector in components list format "{x; y}".
- Vector2DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with default settings.
- Vector2DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with a custom number format for components.
- Vector2DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with custom prefix, suffix and separator.
- Vector2DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with custom prefix, suffix, separator and format
for components.
- Vector3D - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class implements vectors in a three-dimensional space.
- Vector3D(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Simple constructor.
- Vector3D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Simple constructor.
- Vector3D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Simple constructor.
- Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Multiplicative constructor
Build a vector from another one and a scale factor.
- Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Linear constructor
Build a vector from two other ones and corresponding scale factors.
- Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Linear constructor
Build a vector from three other ones and corresponding scale factors.
- Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Linear constructor
Build a vector from four other ones and corresponding scale factors.
- Vector3DFormat - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Formats a 3D vector in components list format "{x; y; z}".
- Vector3DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with default settings.
- Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with a custom number format for components.
- Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with custom prefix, suffix and separator.
- Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with custom prefix, suffix, separator and format
for components.
- VectorFormat<S extends Space> - Class in org.apache.commons.math3.geometry
-
Formats a vector in components list format "{x; y; ...}".
- VectorFormat() - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with default settings.
- VectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with a custom number format for components.
- VectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with custom prefix, suffix and separator.
- VectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with custom prefix, suffix, separator and format
for components.
- VectorialCovariance - Class in org.apache.commons.math3.stat.descriptive.moment
-
Returns the covariance matrix of the available vectors.
- VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Constructs a VectorialCovariance.
- VectorialMean - Class in org.apache.commons.math3.stat.descriptive.moment
-
Returns the arithmetic mean of the available vectors.
- VectorialMean(int) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Constructs a VectorialMean.
- vectorsInitialized - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Initialization indicator for the interpolation vectors.
- vectorsInitialized - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Initialization indicator for the interpolation vectors.
- verifyBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check that the endpoints specify an interval and the function takes
opposite signs at the endpoints.
- verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check that the endpoints specify an interval and the end points
bracket a root.
- verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Verifies that the input arrays are valid.
- verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Check that the interpolation arrays are valid.
- verifyInterval(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check that the endpoints specify an interval.
- verifyInterval(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check that the endpoints specify an interval.
- verifySequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check that lower < initial < upper.
- verifySequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check that lower < initial < upper.
- vertices - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Vertices organized as boundary loops.
- verticesToTree(double, Vector2D...) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build the BSP tree of a polygons set from a simple list of vertices.
- virtualSize - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.
Dimension of the vector.
- virtualSize - Variable in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.
Dimension of the vector.
- visit(BSPTreeVisitor<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Visit the BSP tree nodes.
- visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, int, BigFraction) - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Visit one matrix entry.
- visit(int, int, Fraction) - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Visit one matrix entry.
- visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
-
Visit one entry of the vector.
- visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
-
Visit one entry of the vector.
- visit(int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Visit one matrix entry.
- visitInternalNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitLeafNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitOrder(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Determine the visit order for this node.
- visitOrder(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Determine the visit order for this node.
- visitOrder(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
-
Determine the visit order for this node.
- vmove(int, int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
ALGORITHM AS274 APPL.
- vorder - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
order of the regressors