## Uses of Class
cern.colt.matrix.impl.AbstractMatrix3D

Packages that use AbstractMatrix3D
Package | Description
--- | ---
cern.colt.matrix | Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3 and d-dimensional matrices holding objects or primitive data types such as `int`, `double`, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes.
cern.colt.matrix.impl | Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of `cern.colt.matrix`, without subsetting or supersetting.

### Uses of AbstractMatrix3D in cern.colt.matrix

Subclasses of AbstractMatrix3D in cern.colt.matrix
Modifier and Type | Class and Description
--- | ---
`class` | `DoubleMatrix3D` Abstract base class for 3-d matrices holding `double` elements.
`class` | `ObjectMatrix3D` Abstract base class for 3-d matrices holding `Object` elements.

### Uses of AbstractMatrix3D in cern.colt.matrix.impl

Subclasses of AbstractMatrix3D in cern.colt.matrix.impl
Modifier and Type | Class and Description
--- | ---
`class` | `DenseDoubleMatrix3D` Dense 3-d matrix holding `double` elements.
`class` | `DenseObjectMatrix3D` Dense 3-d matrix holding `Object` elements.
`class` | `SparseDoubleMatrix3D` Sparse hashed 3-d matrix holding `double` elements.
`class` | `SparseObjectMatrix3D` Sparse hashed 3-d matrix holding `Object` elements.

Methods in cern.colt.matrix.impl with parameters of type AbstractMatrix3D
Modifier and Type | Method and Description
--- | ---
`void` | AbstractMatrix3D.`checkShape(AbstractMatrix3D B)` Sanity check for operations requiring two matrices with the same number of slices, rows and columns.
`void` | AbstractMatrix3D.`checkShape(AbstractMatrix3D B, AbstractMatrix3D C)` Sanity check for operations requiring matrices with the same number of slices, rows and columns.
`static java.lang.String` | AbstractFormatter.`shape(AbstractMatrix3D matrix)` Returns a short string representation describing the shape of the matrix.