Package org.flag4j.operations.sparse.coo.complex

Class ComplexSparseMatrixMultiplication

java.lang.Object

org.flag4j.operations.sparse.coo.complex.ComplexSparseMatrixMultiplication

public final class ComplexSparseMatrixMultiplication
extends Object

This class contains low level methods for computing the matrix multiplication of sparse complex matrices/vectors.
WARNING: The methods in this class do not perform any sanity checks.

Constructor Summary

Constructors

Modifier	Constructor	Description
private	ComplexSparseMatrixMultiplication()

Method Summary

Modifier and Type	Method	Description
static CNumber[]	concurrentStandard(CNumber[] src1, int[] rowIndices1, int[] colIndices1, Shape shape1, CNumber[] src2, int[] rowIndices2, int[] colIndices2, Shape shape2)	Computes the matrix multiplication between two sparse matrices using a concurrent implementation of the standard algorithm.
static CNumber[]	concurrentStandardVector(CNumber[] src1, int[] rowIndices1, int[] colIndices1, Shape shape1, CNumber[] src2, int[] indices)	Computes the multiplication between a sparse matrix and a sparse vector using a concurrent implementation of the standard algorithm.
static CNumber[]	standard(CNumber[] src1, int[] rowIndices1, int[] colIndices1, Shape shape1, CNumber[] src2, int[] rowIndices2, int[] colIndices2, Shape shape2)	Computes the matrix multiplication between two sparse matrices using a standard algorithm.
static CNumber[]	standardVector(CNumber[] src1, int[] rowIndices1, int[] colIndices1, Shape shape1, CNumber[] src2, int[] indices)	Computes the multiplication between a sparse matrix and a sparse vector using a standard algorithm.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

ComplexSparseMatrixMultiplication

private ComplexSparseMatrixMultiplication()

Method Details

standard

public static CNumber[] standard(CNumber[] src1,
 int[] rowIndices1,
 int[] colIndices1,
 Shape shape1,
 CNumber[] src2,
 int[] rowIndices2,
 int[] colIndices2,
 Shape shape2)

Computes the matrix multiplication between two sparse matrices using a standard algorithm.

Parameters:

src1 - Non-zero entries of the first sparse matrix.

rowIndices1 - Row indices of non-zero entries for the first sparse matrix.

colIndices1 - Column indices of non-zero entries for the first sparse matrix.

shape1 - Shape of the first sparse matrix.

src2 - Non-zero entries of the second sparse matrix.

rowIndices2 - Row indices of non-zero entries for the second sparse matrix.

colIndices2 - column indices of non-zero entries for the second sparse matrix.

shape2 - Shape of the second sparse matrix.

Returns:

The result of the matrix multiplication stored in a dense matrix.

concurrentStandard

public static CNumber[] concurrentStandard(CNumber[] src1,
 int[] rowIndices1,
 int[] colIndices1,
 Shape shape1,
 CNumber[] src2,
 int[] rowIndices2,
 int[] colIndices2,
 Shape shape2)

Computes the matrix multiplication between two sparse matrices using a concurrent implementation of the standard algorithm.

NOTE: Caution should be exercised when using this method. It is rarely faster than standard(CNumber[], int[], int[], Shape, CNumber[], int[], int[], Shape)

Parameters:

src1 - Non-zero entries of the first sparse matrix.

rowIndices1 - Row indices of non-zero entries for the first sparse matrix.

colIndices1 - Column indices of non-zero entries for the first sparse matrix.

shape1 - Shape of the first sparse matrix.

src2 - Non-zero entries of the second sparse matrix.

rowIndices2 - Row indices of non-zero entries for the second sparse matrix.

colIndices2 - column indices of non-zero entries for the second sparse matrix.

shape2 - Shape of the second sparse matrix.

Returns:

The result of the matrix multiplication stored in a dense matrix.

standardVector

public static CNumber[] standardVector(CNumber[] src1,
 int[] rowIndices1,
 int[] colIndices1,
 Shape shape1,
 CNumber[] src2,
 int[] indices)

Computes the multiplication between a sparse matrix and a sparse vector using a standard algorithm.

Parameters:

src1 - Non-zero entries of the first sparse matrix.

rowIndices1 - Row indices of non-zero entries for the first sparse matrix.

colIndices1 - Column indices of non-zero entries for the first sparse matrix.

shape1 - Shape of the first sparse matrix.

src2 - Non-zero entries of the second sparse matrix.

indices - Indices of non-zero entries in the sparse vector.

Returns:

The result of the matrix-vector multiplication stored in a dense matrix.

concurrentStandardVector

public static CNumber[] concurrentStandardVector(CNumber[] src1,
 int[] rowIndices1,
 int[] colIndices1,
 Shape shape1,
 CNumber[] src2,
 int[] indices)

Computes the multiplication between a sparse matrix and a sparse vector using a concurrent implementation of the standard algorithm.

Parameters:

src1 - Non-zero entries of the first sparse matrix.

rowIndices1 - Row indices of non-zero entries for the first sparse matrix.

colIndices1 - Column indices of non-zero entries for the first sparse matrix.

shape1 - Shape of the first sparse matrix.

src2 - Non-zero entries of the second sparse matrix.

indices - Indices of non-zero entries in the sparse vector.

Returns:

The result of the matrix-vector multiplication stored in a dense matrix.