Package org.la4j.matrix

Class ColumnMajorSparseMatrix

java.lang.Object

org.la4j.Matrix

org.la4j.matrix.SparseMatrix

org.la4j.matrix.ColumnMajorSparseMatrix

All Implemented Interfaces:

java.lang.Iterable<java.lang.Double>

Direct Known Subclasses:

CCSMatrix

public abstract class ColumnMajorSparseMatrix
extends SparseMatrix

Field Summary

Fields inherited from class org.la4j.matrix.SparseMatrix

cardinality

Fields inherited from class org.la4j.Matrix

columns, rows

Constructor Summary

Constructors

Constructor	Description
ColumnMajorSparseMatrix(int rows, int columns)
ColumnMajorSparseMatrix(int rows, int columns, int cardinality)

Method Summary

Modifier and Type	Method	Description
<T> T	apply(MatrixMatrixOperation<T> operation, Matrix that)	Pipes this matrix to a given operation.
<T> T	apply(MatrixOperation<T> operation)	Pipes this matrix to a given operation.
<T> T	apply(MatrixVectorOperation<T> operation, Vector that)	Pipes this matrix to a given operation.
static ColumnMajorSparseMatrix	block(Matrix a, Matrix b, Matrix c, Matrix d)	Creates a block ColumnMajorSparseMatrix of the given blocks a, b, c and d.
static ColumnMajorSparseMatrix	diagonal(int size, double diagonal)	Creates a diagonal ColumnMajorSparseMatrix of the given size whose diagonal elements are equal to diagonal.
static ColumnMajorSparseMatrix	from1DArray(int rows, int columns, double[] array)	Creates a new ColumnMajorSparseMatrix from the given 1D array with compressing (copying) the underlying array.
static ColumnMajorSparseMatrix	from2DArray(double[][] array)	Creates a new ColumnMajorSparseMatrix from the given 2D array with compressing (copying) the underlying array.
static ColumnMajorSparseMatrix	fromCSV(java.lang.String csv)	Parses ColumnMajorSparseMatrix from the given CSV string.
static ColumnMajorSparseMatrix	fromMatrixMarket(java.lang.String mm)	Parses ColumnMajorSparseMatrix from the given Matrix Market string.
static ColumnMajorSparseMatrix	identity(int size)	Creates an identity ColumnMajorSparseMatrix of the given size.
boolean	isRowMajor()	Checks whether or not this sparse matrix row-major.
ColumnMajorMatrixIterator	iterator()	Returns a matrix iterator.
abstract java.util.Iterator<java.lang.Integer>	iteratorOrNonZeroColumns()
MatrixIterator	nonZeroIterator()	Returns a non-zero matrix iterator.
static ColumnMajorSparseMatrix	random(int rows, int columns, double density, java.util.Random random)	Creates a random ColumnMajorSparseMatrix of the given shape: rows x columns.
static ColumnMajorSparseMatrix	randomSymmetric(int size, double density, java.util.Random random)	Creates a random symmetric ColumnMajorSparseMatrix of the given size.
Matrix	rotate()	Rotates this matrix by 90 degrees to the right.
Matrix	transpose()	Transposes this matrix.
static ColumnMajorSparseMatrix	zero(int rows, int columns)	Creates a zero ColumnMajorSparseMatrix of the given shape: rows x columns.
static ColumnMajorSparseMatrix	zero(int rows, int columns, int capacity)	Creates a zero ColumnMajorSparseMatrix of the given shape: rows x columns with the given capacity.

Methods inherited from class org.la4j.matrix.SparseMatrix

add, capacity, cardinality, density, eachNonZero, eachNonZeroInColumn, eachNonZeroInRow, ensureCardinalityIsCorrect, foldNonZero, foldNonZeroInColumn, foldNonZeroInColumns, foldNonZeroInRow, foldNonZeroInRows, get, getColumn, getOrElse, getRow, isColumnMajor, isZeroAt, multiply, nonZeroAt, nonZeroColumnMajorIterator, nonZeroIteratorOfColumn, nonZeroIteratorOfRow, nonZeroRowMajorIterator, toMatrixMarket

Methods inherited from class org.la4j.Matrix

add, blank, blankOfColumns, blankOfRows, blankOfShape, columnMajorIterator, columns, constant, copy, copyOfColumns, copyOfRows, copyOfShape, determinant, diagonalProduct, divide, each, eachInColumn, eachInRow, ensureDimensionsAreCorrect, ensureIndexesAreInBounds, equals, equals, euclideanNorm, fail, fold, foldColumn, foldColumns, foldRow, foldRows, hadamardProduct, hashCode, infinityNorm, insert, insert, insert, insert, insertColumn, insertRow, is, is, iteratorOfColumn, iteratorOfRow, kroneckerProduct, manhattanNorm, max, maxInColumn, maxInRow, min, minInColumn, minInRow, mkString, mkString, mkString, multiply, multiply, multiplyByItsTranspose, non, non, norm, power, product, random, randomSymmetric, rank, removeColumn, removeFirstColumn, removeFirstRow, removeLastColumn, removeLastRow, removeRow, rowMajorIterator, rows, select, set, setAll, setColumn, setColumn, setRow, setRow, shuffle, slice, sliceBottomRight, sliceTopLeft, subtract, subtract, sum, swapColumns, swapRows, to, toBinary, toColumnMajorSparseMatrix, toColumnVector, toCSV, toCSV, toDenseMatrix, toMatrixMarket, toRowMajorSparseMatrix, toRowVector, toSparseMatrix, toString, trace, transform, transformColumn, transformRow, unit, update, updateAt, updateColumn, updateRow, withDecompositor, withInverter, withSolver

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Detail

ColumnMajorSparseMatrix

public ColumnMajorSparseMatrix(int rows,
                               int columns)

ColumnMajorSparseMatrix

public ColumnMajorSparseMatrix(int rows,
                               int columns,
                               int cardinality)

Method Detail

zero

public static ColumnMajorSparseMatrix zero(int rows,
                                           int columns)

Creates a zero ColumnMajorSparseMatrix of the given shape: rows x columns.

zero

public static ColumnMajorSparseMatrix zero(int rows,
                                           int columns,
                                           int capacity)

Creates a zero ColumnMajorSparseMatrix of the given shape: rows x columns with the given capacity.

diagonal

public static ColumnMajorSparseMatrix diagonal(int size,
                                               double diagonal)

Creates a diagonal ColumnMajorSparseMatrix of the given size whose diagonal elements are equal to diagonal.

identity

public static ColumnMajorSparseMatrix identity(int size)

Creates an identity ColumnMajorSparseMatrix of the given size.

random

public static ColumnMajorSparseMatrix random(int rows,
                                             int columns,
                                             double density,
                                             java.util.Random random)

Creates a random ColumnMajorSparseMatrix of the given shape: rows x columns.

randomSymmetric

public static ColumnMajorSparseMatrix randomSymmetric(int size,
                                                      double density,
                                                      java.util.Random random)

Creates a random symmetric ColumnMajorSparseMatrix of the given size.

from1DArray

public static ColumnMajorSparseMatrix from1DArray(int rows,
                                                  int columns,
                                                  double[] array)

Creates a new ColumnMajorSparseMatrix from the given 1D array with compressing (copying) the underlying array.

from2DArray

public static ColumnMajorSparseMatrix from2DArray(double[][] array)

Creates a new ColumnMajorSparseMatrix from the given 2D array with compressing (copying) the underlying array.

block

public static ColumnMajorSparseMatrix block(Matrix a,
                                            Matrix b,
                                            Matrix c,
                                            Matrix d)

Creates a block ColumnMajorSparseMatrix of the given blocks a, b, c and d.

fromCSV

public static ColumnMajorSparseMatrix fromCSV(java.lang.String csv)

Parses ColumnMajorSparseMatrix from the given CSV string.

Parameters:

csv - the CSV string representing a matrix

Returns:

a parsed matrix

fromMatrixMarket

public static ColumnMajorSparseMatrix fromMatrixMarket(java.lang.String mm)

Parses ColumnMajorSparseMatrix from the given Matrix Market string.

Parameters:

mm - the string in Matrix Market format

Returns:

a parsed matrix

isRowMajor

public boolean isRowMajor()

Description copied from class: SparseMatrix

Checks whether or not this sparse matrix row-major.

Specified by:

isRowMajor in class SparseMatrix

transpose

public Matrix transpose()

Description copied from class: Matrix

Transposes this matrix.

Overrides:

transpose in class Matrix

Returns:

the transposed matrix

rotate

public Matrix rotate()

Description copied from class: Matrix

Rotates this matrix by 90 degrees to the right.

Overrides:

rotate in class Matrix

Returns:

the rotated matrix

iterator

public ColumnMajorMatrixIterator iterator()

Description copied from class: Matrix

Returns a matrix iterator.

Specified by:

iterator in interface java.lang.Iterable<java.lang.Double>

Overrides:

iterator in class Matrix

Returns:

a matrix iterator

nonZeroIterator

public MatrixIterator nonZeroIterator()

Description copied from class: SparseMatrix

Returns a non-zero matrix iterator.

Overrides:

nonZeroIterator in class SparseMatrix

Returns:

a non-zero matrix iterator

iteratorOrNonZeroColumns

public abstract java.util.Iterator<java.lang.Integer> iteratorOrNonZeroColumns()

apply

public <T> T apply(MatrixOperation<T> operation)

Description copied from class: Matrix

Pipes this matrix to a given operation.

Specified by:

apply in class Matrix

Type Parameters:

T - the result type

Parameters:

operation - the matrix operation (an operation that takes a matrix and returns T)

Returns:

the result of an operation applied to this matrix

apply

public <T> T apply(MatrixMatrixOperation<T> operation,
                   Matrix that)

Description copied from class: Matrix

Pipes this matrix to a given operation.

Specified by:

apply in class Matrix

Type Parameters:

T - the result type

Parameters:

operation - the matrix-matrix operation (an operation that takes two matrices and returns T)

that - the right hand matrix of the given operation

Returns:

the result of an operation applied to this matrix

apply

public <T> T apply(MatrixVectorOperation<T> operation,
                   Vector that)

Description copied from class: Matrix

Pipes this matrix to a given operation.

Specified by:

apply in class Matrix

Type Parameters:

T - the result type

Parameters:

operation - the matrix-vector operation (an operation that takes matrix and vector and returns T)

that - the right hand vector of the given operation

Returns:

the result of an operation applied to this matrix