Package org.flag4j.operations.dense.complex

Class ComplexDenseElemDiv

java.lang.Object

org.flag4j.operations.dense.complex.ComplexDenseElemDiv

public class ComplexDenseElemDiv
extends Object

This class contains low-level implementations of complex element-wise tensor multiplication.

Field Summary

Fields

Modifier and Type	Field	Description
private static final int	CONCURRENT_THRESHOLD	Minimum number of entries in each tensor to apply concurrent algorithm.

Constructor Summary

Constructors

Modifier	Constructor	Description
private	ComplexDenseElemDiv()

Method Summary

Modifier and Type	Method	Description
static CNumber[]	dispatch(CNumber[] src1, Shape shape1, CNumber[] src2, Shape shape2)	Dynamically chooses and applies element-wise division algorithm to use based on the number of entries in the tensors.
static CNumber[]	elemDiv(CNumber[] src1, Shape shape1, CNumber[] src2, Shape shape2)	Computes the element-wise division of two tensors.
static CNumber[]	elemDivConcurrent(CNumber[] src1, Shape shape1, CNumber[] src2, Shape shape2)	Computes the element-wise division of two tensors using a concurrent algorithm.

Methods inherited from class java.lang.Object

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

Field Details

CONCURRENT_THRESHOLD

private static final int CONCURRENT_THRESHOLD

Minimum number of entries in each tensor to apply concurrent algorithm.

See Also:

• Constant Field Values

Constructor Details

ComplexDenseElemDiv

private ComplexDenseElemDiv()

Method Details

elemDiv

public static CNumber[] elemDiv(CNumber[] src1,
 Shape shape1,
 CNumber[] src2,
 Shape shape2)

Computes the element-wise division of two tensors.

Parameters:

src1 - First tensor in element-wise division.

shape1 - Shape of the first tensor.

src2 - Second tensor in element-wise division.

shape2 - Shape of the second tensor.

Returns:

The element-wise division of the two tensors.

Throws:

IllegalArgumentException - If the tensors do not have the same shape.

elemDivConcurrent

public static CNumber[] elemDivConcurrent(CNumber[] src1,
 Shape shape1,
 CNumber[] src2,
 Shape shape2)

Computes the element-wise division of two tensors using a concurrent algorithm.

Parameters:

src1 - First tensor in element-wise division.

shape1 - Shape of the first tensor.

src2 - Second tensor in element-wise division.

shape2 - Shape of the second tensor.

Returns:

The element-wise division of the two tensors.

Throws:

IllegalArgumentException - If the tensors do not have the same shape.

dispatch

public static CNumber[] dispatch(CNumber[] src1,
 Shape shape1,
 CNumber[] src2,
 Shape shape2)

Dynamically chooses and applies element-wise division algorithm to use based on the number of entries in the tensors.

Parameters:

src1 - Entries of first tensor.

shape1 - Shape of first tensor.

src2 - Entries of second tensor.

shape2 - Shape of second tensor.

Returns:

The element-wise division of the two tensors.