public class Gaussian extends java.lang.Object implements UnivariateDifferentiableFunction, DifferentiableUnivariateFunction
Modifier and Type | Class and Description |
---|---|
static class |
Gaussian.Parametric
Parametric function where the input array contains the parameters of
the Gaussian, ordered as follows:
Norm
Mean
Standard deviation
|
Modifier and Type | Field and Description |
---|---|
private double |
i2s2
Inverse of twice the square of the standard deviation.
|
private double |
is
Inverse of the standard deviation.
|
private double |
mean
Mean.
|
private double |
norm
Normalization factor.
|
Constructor and Description |
---|
Gaussian()
Normalized gaussian with zero mean and unit standard deviation.
|
Gaussian(double mean,
double sigma)
Normalized gaussian with given mean and standard deviation.
|
Gaussian(double norm,
double mean,
double sigma)
Gaussian with given normalization factor, mean and standard deviation.
|
Modifier and Type | Method and Description |
---|---|
UnivariateFunction |
derivative()
Deprecated.
as of 3.1, replaced by
value(DerivativeStructure) |
DerivativeStructure |
value(DerivativeStructure t)
Simple mathematical function.
|
double |
value(double x)
Compute the value of the function.
|
private static double |
value(double xMinusMean,
double norm,
double i2s2) |
private final double mean
private final double is
private final double i2s2
private final double norm
public Gaussian(double norm, double mean, double sigma) throws NotStrictlyPositiveException
norm
- Normalization factor.mean
- Mean.sigma
- Standard deviation.NotStrictlyPositiveException
- if sigma <= 0
.public Gaussian(double mean, double sigma) throws NotStrictlyPositiveException
mean
- Mean.sigma
- Standard deviation.NotStrictlyPositiveException
- if sigma <= 0
.public Gaussian()
public double value(double x)
value
in interface UnivariateFunction
x
- Point at which the function value should be computed.@Deprecated public UnivariateFunction derivative()
value(DerivativeStructure)
derivative
in interface DifferentiableUnivariateFunction
private static double value(double xMinusMean, double norm, double i2s2)
xMinusMean
- x - mean
.norm
- Normalization factor.i2s2
- Inverse of twice the square of the standard deviation.x
.public DerivativeStructure value(DerivativeStructure t) throws DimensionMismatchException
UnivariateDifferentiableFunction
classes compute both the
value and the first derivative of the function.
value
in interface UnivariateDifferentiableFunction
t
- function input valueDimensionMismatchException
- if t is inconsistent with the
function's free parameters or orderCopyright (c) 2003-2014 Apache Software Foundation