Uses of Class
cern.colt.matrix.impl.AbstractMatrix1D
Packages that use AbstractMatrix1D
Package
Description
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.
Double matrix algorithms such as print formatting, sorting, partitioning and statistics.
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.Object matrix algorithms such as print formatting, sorting, partitioning and statistics.
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Uses of AbstractMatrix1D in cern.colt.matrix
Subclasses of AbstractMatrix1D in cern.colt.matrixModifier and TypeClassDescriptionclass
Abstract base class for 1-d matrices (aka vectors) holding double elements.class
Abstract base class for 1-d matrices (aka vectors) holding Object elements. -
Uses of AbstractMatrix1D in cern.colt.matrix.doublealgo
Methods in cern.colt.matrix.doublealgo with parameters of type AbstractMatrix1DModifier and TypeMethodDescriptionprotected String
Formatter.form
(AbstractMatrix1D matrix, int index, Former formatter) Converts a given cell to a String; no alignment considered. -
Uses of AbstractMatrix1D in cern.colt.matrix.impl
Subclasses of AbstractMatrix1D in cern.colt.matrix.implModifier and TypeClassDescription(package private) class
1-d matrix holding double elements; either a view wrapping another 2-d matrix and therefore delegating calls to it.class
Dense 1-d matrix (aka vector) holding double elements.class
Dense 1-d matrix (aka vector) holding Object elements.(package private) class
Selection view on dense 1-d matrices holding double elements.(package private) class
Selection view on dense 1-d matrices holding Object elements.(package private) class
Selection view on sparse 1-d matrices holding double elements.(package private) class
Selection view on sparse 1-d matrices holding Object elements.class
Sparse hashed 1-d matrix (aka vector) holding double elements.class
Sparse hashed 1-d matrix (aka vector) holding Object elements.(package private) class
1-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.Methods in cern.colt.matrix.impl that return AbstractMatrix1DModifier and TypeMethodDescriptionprotected AbstractMatrix1D
AbstractMatrix1D.vFlip()
Self modifying version of viewFlip().protected AbstractMatrix1D
AbstractMatrix1D.vPart
(int index, int width) Self modifying version of viewPart().protected AbstractMatrix1D
AbstractMatrix1D.vStrides
(int stride) Self modifying version of viewStrides().Methods in cern.colt.matrix.impl with parameters of type AbstractMatrix1DModifier and TypeMethodDescriptionvoid
AbstractMatrix1D.checkSize
(AbstractMatrix1D B) Sanity check for operations requiring two matrices with the same size.protected abstract String
AbstractFormatter.form
(AbstractMatrix1D matrix, int index, Former formatter) Converts a given cell to a String; no alignment considered.protected String[]
AbstractFormatter.formatRow
(AbstractMatrix1D vector) Returns a string representations of all cells; no alignment considered.static String
AbstractFormatter.shape
(AbstractMatrix1D matrix) Returns a short string representation describing the shape of the matrix. -
Uses of AbstractMatrix1D in cern.colt.matrix.objectalgo
Methods in cern.colt.matrix.objectalgo with parameters of type AbstractMatrix1DModifier and TypeMethodDescriptionprotected String
Formatter.form
(AbstractMatrix1D matrix, int index, Former formatter) Converts a given cell to a String; no alignment considered.