Colt 1.2.0

## Uses of Class
cern.colt.matrix.impl.AbstractMatrix2D

Packages that use AbstractMatrix2D
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 AbstractMatrix2D in cern.colt.matrix

Subclasses of AbstractMatrix2D in cern.colt.matrix
`class` `DoubleMatrix2D` Abstract base class for 2-d matrices holding `double` elements.
`class` `ObjectMatrix2D` Abstract base class for 2-d matrices holding `Object` elements.

Uses of AbstractMatrix2D in cern.colt.matrix.impl

Subclasses of AbstractMatrix2D in cern.colt.matrix.impl
`class` `DenseDoubleMatrix2D` Dense 2-d matrix holding `double` elements.
`class` `DenseObjectMatrix2D` Dense 2-d matrix holding `Object` elements.
`class` `RCDoubleMatrix2D` Sparse row-compressed 2-d matrix holding `double` elements.
`class` `SparseDoubleMatrix2D` Sparse hashed 2-d matrix holding `double` elements.
`class` `SparseObjectMatrix2D` Sparse hashed 2-d matrix holding `Object` elements.

Methods in cern.colt.matrix.impl with parameters of type AbstractMatrix2D
`void` `AbstractMatrix2D.checkShape(AbstractMatrix2D B)` Sanity check for operations requiring two matrices with the same number of columns and rows.
`void` `AbstractMatrix2D.checkShape(AbstractMatrix2D B, AbstractMatrix2D C)` Sanity check for operations requiring matrices with the same number of columns and rows.
`static java.lang.String` `AbstractFormatter.shape(AbstractMatrix2D matrix)` Returns a short string representation describing the shape of the matrix.

Colt 1.2.0

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