Class DenseSemiringMatMultTranspose

java.lang.Object

org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultTranspose

public final class DenseSemiringMatMultTranspose
extends Object

This utility class contains methods for computing the dense matrix multiplication between a matrix and the transpose of a matrix.

Method Summary

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

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.

dest - Array to store resulting matrix multiplication in.

multTransposeBlocked

public static <T extends Semiring<T>> void multTransposeBlocked(T[] src1,
 Shape shape1,
 T[] src2,
 Shape shape2,
 T[] dest)

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.

dest - Array to store resulting matrix multiplication in.

multTransposeConcurrent

public static <T extends Semiring<T>> void multTransposeConcurrent(T[] src1,
 Shape shape1,
 T[] src2,
 Shape shape2,
 T[] dest)

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.

dest - Array to store resulting matrix multiplication in.

multTransposeBlockedConcurrent

public static <T extends Semiring<T>> void multTransposeBlockedConcurrent(T[] src1,
 Shape shape1,
 T[] src2,
 Shape shape2,
 T[] dest)

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.

dest - Array to store resulting matrix multiplication in.