Package org.flag4j.operations.dense.real_complex

Class RealComplexDenseOperations

java.lang.Object

org.flag4j.operations.dense.real_complex.RealComplexDenseOperations

public final class RealComplexDenseOperations
extends Object

This class provides low level methods for computing operations with at least one real tensor and at least one complex tensor.

Constructor Summary

Constructors

Modifier	Constructor	Description
private	RealComplexDenseOperations()

Method Summary

Modifier and Type	Method	Description
static CNumber[]	add(CNumber[] src1, double a)	Adds a scalar value to all entries of a tensor.
static CNumber[]	add(CNumber[] src1, Shape shape1, double[] src2, Shape shape2)	Computes the element-wise addition of two tensors.
static void	addEq(CNumber[] src, double b)	Adds a scalar from each entry of this tensor and stores the result in the tensor.
static void	addEq(CNumber[] src1, Shape shape1, double[] src2, Shape shape2)	Computes element-wise addition between tensors and stores the result in the first tensor.
static CNumber[]	scalDiv(double[] entries, CNumber divisor)	Computes the scalar multiplication of a tensor.
static CNumber[]	scalDiv(CNumber[] entries, double divisor)	Computes the scalar division of a tensor.
static CNumber[]	sub(double[] src1, CNumber a)	Subtracts a scalar value from all entries of a tensor.
static CNumber[]	sub(double[] src1, Shape shape1, CNumber[] src2, Shape shape2)	Computes the element-wise subtraction of two tensors.
static CNumber[]	sub(CNumber[] src1, double a)	Subtracts a scalar value from all entries of a tensor.
static CNumber[]	sub(CNumber[] src1, Shape shape1, double[] src2, Shape shape2)	Computes the element-wise subtraction of two tensors.
static void	subEq(CNumber[] src, double b)	Subtracts a scalar from each entry of this tensor and stores the result in the tensor.
static void	subEq(CNumber[] src1, Shape shape1, double[] src2, Shape shape2)	Computes element-wise subtraction between tensors and stores the result in the first tensor.

Methods inherited from class java.lang.Object

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

Constructor Details

RealComplexDenseOperations

private RealComplexDenseOperations()

Method Details

add

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

Computes the element-wise addition of two 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 addition of two tensors.

Throws:

IllegalArgumentException - If entry arrays are not the same size.

sub

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

Computes the element-wise subtraction of two 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 subtraction of two tensors.

Throws:

IllegalArgumentException - If entry arrays are not the same size.

sub

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

Computes the element-wise subtraction of two 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 subtraction of two tensors.

Throws:

IllegalArgumentException - If entry arrays are not the same size.

sub

public static CNumber[] sub(double[] src1,
 CNumber a)

Subtracts a scalar value from all entries of a tensor.

Parameters:

src1 - Entries of first tensor.

a - Scalar to add to all entries of this tensor.

Returns:

The tensor-scalar subtraction of the two parameters.

subEq

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

Computes element-wise subtraction between tensors and stores the result in the first tensor.

Parameters:

src1 - First tensor in subtraction. Also, where the result will be stored.

shape1 - Shape of the first tensor.

src2 - Second tensor in the subtraction.

shape2 - Shape of the second tensor.

Throws:

IllegalArgumentException - If tensors are not the same shape.

subEq

public static void subEq(CNumber[] src,
 double b)

Subtracts a scalar from each entry of this tensor and stores the result in the tensor.

Parameters:

src - Tensor in subtraction. Also, where the result will be stored.

b - Scalar to subtract.

addEq

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

Computes element-wise addition between tensors and stores the result in the first tensor.

Parameters:

src1 - First tensor in addition. Also, where the result will be stored.

shape1 - Shape of the first tensor.

src2 - Second tensor in the addition.

shape2 - Shape of the second tensor.

Throws:

IllegalArgumentException - If tensors are not the same shape.

addEq

public static void addEq(CNumber[] src,
 double b)

Adds a scalar from each entry of this tensor and stores the result in the tensor.

Parameters:

src - Tensor in addition. Also, where the result will be stored.

b - Scalar to add.

scalDiv

public static CNumber[] scalDiv(double[] entries,
 CNumber divisor)

Computes the scalar multiplication of a tensor.

Parameters:

entries - Entries of the tensor.

divisor - Scalar value to multiply.

Returns:

The scalar multiplication of the tensor.

add

public static CNumber[] add(CNumber[] src1,
 double a)

Adds a scalar value to all entries of a tensor.

Parameters:

src1 - Entries of first tensor.

a - Scalar to add to all entries of this tensor.

Returns:

The result of adding the scalar value to all entries of the source tensor.

sub

public static CNumber[] sub(CNumber[] src1,
 double a)

Subtracts a scalar value from all entries of a tensor.

Parameters:

src1 - Entries of first tensor.

a - Scalar to add to all entries of this tensor.

Returns:

The tensor-scalar subtraction of the two parameters.

scalDiv

public static CNumber[] scalDiv(CNumber[] entries,
 double divisor)

Computes the scalar division of a tensor.

Parameters:

entries - Entries of the tensor.

divisor - Scalar value to divide tensor by.

Returns:

The scalar division of the tensor.