Package org.flag4j.operations.dense.real_complex

Class RealComplexDenseElemDiv

java.lang.Object

org.flag4j.operations.dense.real_complex.RealComplexDenseElemDiv

public class RealComplexDenseElemDiv
extends Object

This class contains low-level implementations of element-wise tensor division for a real dense and complex dense tensor.

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	RealComplexDenseElemDiv()

Method Summary

Modifier and Type	Method	Description
static CNumber[]	dispatch(double[] src1, Shape shape1, CNumber[] src2, Shape shape2)	Dynamically chooses and applies the appropriate algorithm for element-wise tensor multiplication.
static CNumber[]	dispatch(CNumber[] src1, Shape shape1, double[] src2, Shape shape2)	Dynamically chooses and applies the appropriate algorithm for element-wise tensor multiplication.
static CNumber[]	elemDiv(double[] src1, Shape shape1, CNumber[] src2, Shape shape2)	Computes the element-wise division of two tensors.
static CNumber[]	elemDiv(CNumber[] src1, Shape shape1, double[] src2, Shape shape2)	Computes the element-wise division of two tensors.
static CNumber[]	elemDivConcurrent(double[] src1, Shape shape1, CNumber[] src2, Shape shape2)	Computes the element-wise division of two tensors using a concurrent algorithm.
static CNumber[]	elemDivConcurrent(CNumber[] src1, Shape shape1, double[] src2, Shape shape2)	Computes the element-wise division of two tensors using a concurrent algorithm.
private static boolean	useConcurrent(int numEntries)	Chooses if a concurrent algorithm for element-wise multiplication should be used based on the shape of the two tensors.

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

RealComplexDenseElemDiv

private RealComplexDenseElemDiv()

Method Details

elemDiv

public static CNumber[] elemDiv(CNumber[] src1,
 Shape shape1,
 double[] 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,
 double[] 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.

elemDiv

public static CNumber[] elemDiv(double[] 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(double[] 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.

useConcurrent

private static boolean useConcurrent(int numEntries)

Chooses if a concurrent algorithm for element-wise multiplication should be used based on the shape of the two tensors.

Parameters:

numEntries - Total entries in the tensors to multiply.

Returns:

True if a concurrent algorithm should be used for element-wise multiplication. Otherwise, returns false.

dispatch

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

Dynamically chooses and applies the appropriate algorithm for element-wise tensor multiplication.

Parameters:

src1 - Entries of first tensor.

shape1 - Shape of first tensor.

src2 - Entries of second tensor.

shape2 - Shape of second tensor.

Returns:

The result of the element-wise tensor multiplication.

dispatch

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

Dynamically chooses and applies the appropriate algorithm for element-wise tensor multiplication.

Parameters:

src1 - Entries of first tensor.

shape1 - Shape of first tensor.

src2 - Entries of second tensor.

shape2 - Shape of second tensor.

Returns:

The result of the element-wise tensor multiplication.