Class RealDenseMatMultTranspose

java.lang.Object

org.flag4j.linalg.ops.dense.real.RealDenseMatMultTranspose

public final class RealDenseMatMultTranspose
extends Object

This class contains several low level methods for computing matrix-matrix multiplications with a transpose for two real dense matrices.
WARNING: These methods do not perform any sanity checks.

Method Summary

Modifier and Type	Method	Description
static double[]	multTranspose(double[] src1, Shape shape1, double[] src2, Shape shape2)	Multiplies a matrix to the transpose of a second matrix.
static double[]	multTransposeBlocked(double[] src1, Shape shape1, double[] src2, Shape shape2)	Multiplies a matrix to the transpose of a second matrix using a blocked algorithm.
static double[]	multTransposeBlockedConcurrent(double[] src1, Shape shape1, double[] src2, Shape shape2)	Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm.
static double[]	multTransposeConcurrent(double[] src1, Shape shape1, double[] src2, Shape shape2)	Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm.

Methods inherited from class java.lang.Object

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

Method Details

multTranspose

public static double[] multTranspose(double[] src1,
 Shape shape1,
 double[] src2,
 Shape shape2)

Multiplies a matrix to the transpose of a second matrix. This method may be significantly faster than computing the transpose and multiplication in two steps.

Parameters:

src1 - Entries of the first matrix.

shape1 - Shape of the first matrix.

src2 - Entries of the second matrix.

shape2 - Shape of the second matrix.

Returns:

The result of multiplying the first matrix with the transpose of the second matrix.

multTransposeBlocked

public static double[] multTransposeBlocked(double[] src1,
 Shape shape1,
 double[] src2,
 Shape shape2)

Multiplies a matrix to the transpose of a second matrix using a blocked algorithm. This method may be significantly faster than computing the transpose and multiplication in two steps.

Parameters:

src1 - Entries of the first matrix.

shape1 - Shape of the first matrix.

src2 - Entries of the second matrix.

shape2 - Shape of the second matrix.

Returns:

The result of multiplying the first matrix with the transpose of the second matrix.

multTransposeConcurrent

public static double[] multTransposeConcurrent(double[] src1,
 Shape shape1,
 double[] src2,
 Shape shape2)

Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm. This method may be significantly faster than computing the transpose and multiplication in two steps.

Parameters:

src1 - Entries of the first matrix.

shape1 - Shape of the first matrix.

src2 - Entries of the second matrix.

shape2 - Shape of the second matrix.

Returns:

The result of multiplying the first matrix with the transpose of the second matrix.

multTransposeBlockedConcurrent

public static double[] multTransposeBlockedConcurrent(double[] src1,
 Shape shape1,
 double[] src2,
 Shape shape2)

Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm. This method may be significantly faster than computing the transpose and multiplication in two steps.

Parameters:

src1 - Entries of the first matrix.

shape1 - Shape of the first matrix.

src2 - Entries of the second matrix.

shape2 - Shape of the second matrix.

Returns:

The result of multiplying the first matrix with the transpose of the second matrix.