Contains the implementation of arbitrary sized vector and matrix operations. More...

#include "ArraySlice.hpp"
#include "math.hpp"

Namespaces
	LvArray
	The top level namespace.

	LvArray::tensorOps
	Contains operations for operating on compile time sized vectors and matrices.

Macros
Initialization and assignment macros.
Macros that aid in to initializng and assigning to common vector and matrix sizes. Use these macros to initialize c-arrays from other c-arrays or Array objects and to assign to either c-arrays or Array objects. Usage: int vectorA[ 3 ] = { 0, 1, 2 }; int const vectorACopy[ 3 ] = LVARRAY_TENSOROPS_INIT_LOCAL_3( vectorA ); LVARRAY_TENSOROPS_ASSIGN_2( vectorA, 5, 3 ); Array< double, 2, ... > arrayOfMatrices( JSIZE, 2, 2 ); double matrix[ 2 ][ 2 ] = LVARRAY_TENSOROPS_INIT_LOCAL_2x2( arrayOfMatrices[ 0 ] ); LVARRAY_TENSOROPS_ASSIGN_2x2( arrayOfMatrices[ 0 ], a00, a01, a10, a11 ); Note that since these are macros expressions and not just variables can be passed. int vectorA[ 3 ] = { 0, 1, 2 }; int const vectorATimes2[ 3 ] = LVARRAY_TENSOROPS_INIT_LOCAL_3( 2 * vectorA ); Note No bounds checking is done on the provided expression.
#define	LVARRAY_TENSOROPS_INIT_LOCAL_2(EXP) { EXP[ 0 ], EXP[ 1 ] }
	Create an initializer list of length 2 from `EXP`. More...

#define	LVARRAY_TENSOROPS_ASSIGN_2(var, exp0, exp1) var[ 0 ] = exp0; var[ 1 ] = exp1
	Assign to the length 2 vector `var`. More...

#define	LVARRAY_TENSOROPS_INIT_LOCAL_3(EXP) { EXP[ 0 ], EXP[ 1 ], EXP[ 2 ] }
	Create an initializer list of length 3 from `EXP`. More...

#define	LVARRAY_TENSOROPS_ASSIGN_3(var, exp0, exp1, exp2) var[ 0 ] = exp0; var[ 1 ] = exp1; var[ 2 ] = exp2
	Assign to the length 3 vector `var`. More...

#define	LVARRAY_TENSOROPS_INIT_LOCAL_6(EXP) { EXP[ 0 ], EXP[ 1 ], EXP[ 2 ], EXP[ 3 ], EXP[ 4 ], EXP[ 5 ] }
	Create an initializer list of length 6 from `EXP`. More...

#define	LVARRAY_TENSOROPS_ASSIGN_6(var, exp0, exp1, exp2, exp3, exp4, exp5) var[ 0 ] = exp0; var[ 1 ] = exp1; var[ 2 ] = exp2; var[ 3 ] = exp3; var[ 4 ] = exp4; var[ 5 ] = exp5
	Assign to the length 6 vector `var`. More...

#define	LVARRAY_TENSOROPS_INIT_LOCAL_2x2(EXP)
	Create an 2x2 initializer list from `EXP`. More...

#define	LVARRAY_TENSOROPS_ASSIGN_2x2(var, exp00, exp01, exp10, exp11)
	Assign to the 2x2 matrix `var`. More...

#define	LVARRAY_TENSOROPS_INIT_LOCAL_3x3(EXP)
	Create an 3x3 initializer list from `EXP`. More...

#define	LVARRAY_TENSOROPS_ASSIGN_3x3(var, exp00, exp01, exp02, exp10, exp11, exp12, exp20, exp21, exp22)
	Assign to the 3x3 matrix `var`. More...

Functions
Generic operations
Functions that are overloaded to operate on both vectors and matrices. Note Not all of the functions have been overloaded to operate on both vectors and matrices.
template<std::ptrdiff_t ISIZE, typename VECTOR >
constexpr auto	LvArray::tensorOps::maxAbsoluteEntry (VECTOR &&vector)

template<std::ptrdiff_t ISIZE, typename VECTOR >
constexpr void	LvArray::tensorOps::fill (VECTOR &&vector, std::remove_reference_t< decltype(vector[0]) > const value)
	Set the entries of `vector` to `value`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename MATRIX >
constexpr void	LvArray::tensorOps::fill (MATRIX &&matrix, std::remove_reference_t< decltype(matrix[0][0]) > const value)
	Set the entries of `matrix` to `value`. More...

template<std::ptrdiff_t ISIZE, typename DST_VECTOR , typename SRC_VECTOR >
constexpr void	LvArray::tensorOps::copy (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, SRC_VECTOR const &LVARRAY_RESTRICT_REF srcVector)
	Copy `srcVector` into `dstVector`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_MATRIX , typename SRC_MATRIX >
constexpr void	LvArray::tensorOps::copy (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, SRC_MATRIX const &LVARRAY_RESTRICT_REF srcMatrix)
	Copy `srcMatrix` into `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, typename VECTOR >
constexpr void	LvArray::tensorOps::scale (VECTOR &&vector, std::remove_reference_t< decltype(vector[0]) > const scale)
	Multiply the entries of `vector` by `scale`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename MATRIX >
constexpr void	LvArray::tensorOps::scale (MATRIX &&matrix, std::remove_reference_t< decltype(matrix[0][0]) > const scale)
	Multiply the entries of `matrix` by `scale`. More...

template<std::ptrdiff_t ISIZE, typename DST_VECTOR , typename SRC_VECTOR >
constexpr void	LvArray::tensorOps::scaledCopy (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, SRC_VECTOR const &LVARRAY_RESTRICT_REF srcVector, std::remove_reference_t< decltype(srcVector[0]) > const scale)
	Copy `srcVector` scaled by `scale` into `dstVector`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_MATRIX , typename SRC_MATRIX >
constexpr void	LvArray::tensorOps::scaledCopy (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, SRC_MATRIX const &LVARRAY_RESTRICT_REF srcMatrix, std::remove_reference_t< decltype(srcMatrix[0][0]) > const scale)
	Copy `srcMatrix` scaled by `scale` into `dstMatrix`. More...

template<std::ptrdiff_t M, typename DST_VECTOR >
constexpr void	LvArray::tensorOps::addScalar (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, std::remove_reference_t< decltype(dstVector[0]) > const value)
	Add `value` to `dstVector`. More...

template<std::ptrdiff_t ISIZE, typename DST_VECTOR , typename SRC_VECTOR >
constexpr void	LvArray::tensorOps::add (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, SRC_VECTOR const &LVARRAY_RESTRICT_REF srcVector)
	Add `srcVector` to `dstVector`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_MATRIX , typename SRC_MATRIX >
constexpr void	LvArray::tensorOps::add (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, SRC_MATRIX const &LVARRAY_RESTRICT_REF srcMatrix)
	Add `srcMatrix` to `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, typename DST_VECTOR , typename SRC_VECTOR >
constexpr void	LvArray::tensorOps::subtract (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, SRC_VECTOR const &LVARRAY_RESTRICT_REF srcVector)
	Subtract `srcVector` from `dstVector`. More...

template<std::ptrdiff_t ISIZE, typename DST_VECTOR , typename SRC_VECTOR >
constexpr void	LvArray::tensorOps::scaledAdd (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, SRC_VECTOR const &LVARRAY_RESTRICT_REF srcVector, std::remove_reference_t< decltype(srcVector[0]) > const scale)
	Add `srcVector` scaled by `scale` to `dstVector`. More...

template<std::ptrdiff_t ISIZE, typename DST_VECTOR , typename VECTOR_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::hadamardProduct (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, VECTOR_A const &LVARRAY_RESTRICT_REF vectorA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Multiply the elements of `vectorA` and `vectorB` putting the result into `dstVector`. More...

Vector operations
Functions that operate on vectors.
template<std::ptrdiff_t ISIZE, typename VECTOR >
constexpr auto	LvArray::tensorOps::l2NormSquared (VECTOR const &vector)

template<std::ptrdiff_t ISIZE, typename VECTOR >
constexpr auto	LvArray::tensorOps::l2Norm (VECTOR const &vector)

template<std::ptrdiff_t ISIZE, typename VECTOR >
constexpr auto	LvArray::tensorOps::normalize (VECTOR &&vector)
	Scale `vector` to a unit vector. More...

template<std::ptrdiff_t JSIZE, typename VECTOR_A , typename VECTOR_B >
constexpr auto	LvArray::tensorOps::AiBi (VECTOR_A const &LVARRAY_RESTRICT_REF vectorA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)

template<typename DST_VECTOR , typename VECTOR_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::crossProduct (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, VECTOR_A const &LVARRAY_RESTRICT_REF vectorA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Compute the cross product of `vectorA` and `vectorB` and put it in `dstVector`. More...

Matrix-vector operations
Functions that operate on matrices and vectors.
template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_MATRIX , typename VECTOR_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::Rij_eq_AiBj (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, VECTOR_A const &LVARRAY_RESTRICT_REF vectorA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Perform the outer product of `vectorA` and `vectorB` writing the result to `dstMatrix`. More...

template<std::ptrdiff_t M, typename DST_MATRIX , typename VECTOR_A >
constexpr void	LvArray::tensorOps::Rij_eq_AiAj (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, VECTOR_A const &LVARRAY_RESTRICT_REF vectorA)
	Perform the outer product of `vectorA` with itself writing the result to `dstMatrix`. More...

template<std::ptrdiff_t JSIZE, std::ptrdiff_t ISIZE, typename DST_MATRIX , typename VECTOR_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::Rij_add_AiBj (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, VECTOR_A const &LVARRAY_RESTRICT_REF vectorA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Perform the outer product of `vectorA` and `vectorB` adding the result to `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_VECTOR , typename MATRIX_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::Ri_eq_AijBj (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Perform the matrix vector multiplication of `matrixA` and `vectorB` writing the result to `dstVector`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_VECTOR , typename MATRIX_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::Ri_add_AijBj (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Perform the matrix vector multiplication of `matrixA` and `vectorB` adding the result to `dstVector`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_VECTOR , typename MATRIX_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::Ri_eq_AjiBj (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Perform the matrix vector multiplication of the transpose of `matrixA` and `vectorB` writing the result to `dstVector`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_VECTOR , typename MATRIX_A , typename VECTOR_B >
constexpr void	LvArray::tensorOps::Ri_add_AjiBj (DST_VECTOR &&LVARRAY_RESTRICT_REF dstVector, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, VECTOR_B const &LVARRAY_RESTRICT_REF vectorB)
	Perform the matrix vector multiplication of the transpose of `matrixA` and `vectorB` adding the result to `dstVector`. More...

Matrix operations
Functions that operate matrices of any shape.
template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_MATRIX , typename SRC_MATRIX >
constexpr void	LvArray::tensorOps::transpose (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, SRC_MATRIX const &LVARRAY_RESTRICT_REF srcMatrix)
	Store the transpose of the NxM matrix `srcMatrix` in `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, std::ptrdiff_t KSIZE, typename DST_MATRIX , typename MATRIX_A , typename MATRIX_B >
constexpr void	LvArray::tensorOps::Rij_eq_AikBkj (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, MATRIX_B const &LVARRAY_RESTRICT_REF matrixB)
	Multiply `matrixA` with `matrixB` and put the result into `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, std::ptrdiff_t KSIZE, typename DST_MATRIX , typename MATRIX_A , typename MATRIX_B >
constexpr void	LvArray::tensorOps::Rij_add_AikBkj (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, MATRIX_B const &LVARRAY_RESTRICT_REF matrixB)
	Multiply `matrixA` with `matrixB` and add the result to `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, std::ptrdiff_t KSIZE, typename DST_MATRIX , typename MATRIX_A , typename MATRIX_B >
constexpr void	LvArray::tensorOps::Rij_eq_AikBjk (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, MATRIX_B const &LVARRAY_RESTRICT_REF matrixB)
	Multiply `matrixA` with the transpose of `matrixB` and put the result into `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, std::ptrdiff_t KSIZE, typename DST_MATRIX , typename MATRIX_A , typename MATRIX_B >
constexpr void	LvArray::tensorOps::Rij_add_AikBjk (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, MATRIX_B const &LVARRAY_RESTRICT_REF matrixB)
	Multiply `matrixA` with the transpose of `matrixB` and put the result into `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, typename DST_MATRIX , typename MATRIX_A >
constexpr void	LvArray::tensorOps::Rij_add_AikAjk (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA)
	Multiply `matrixA` with the transpose of itself and put the result into `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, std::ptrdiff_t KSIZE, typename DST_MATRIX , typename MATRIX_A , typename MATRIX_B >
constexpr void	LvArray::tensorOps::Rij_eq_AkiBkj (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, MATRIX_B const &LVARRAY_RESTRICT_REF matrixB)
	Multiply the transpose of `matrixA` with `matrixB` and put the result into `dstMatrix`. More...

template<std::ptrdiff_t ISIZE, std::ptrdiff_t JSIZE, std::ptrdiff_t KSIZE, typename DST_MATRIX , typename MATRIX_A , typename MATRIX_B >
constexpr void	LvArray::tensorOps::Rij_add_AkiBkj (DST_MATRIX &&LVARRAY_RESTRICT_REF dstMatrix, MATRIX_A const &LVARRAY_RESTRICT_REF matrixA, MATRIX_B const &LVARRAY_RESTRICT_REF matrixB)
	Multiply the transpose of `matrixA` with `matrixB` and add the result into `dstMatrix`. More...

Square matrix operations
Functions that operate on square matrices of any size.
template<std::ptrdiff_t ISIZE, typename MATRIX >
constexpr void	LvArray::tensorOps::transpose (MATRIX &&LVARRAY_RESTRICT_REF matrix)
	Transpose the MxM matrix `matrix`. More...

template<std::ptrdiff_t ISIZE, typename MATRIX >
constexpr void	LvArray::tensorOps::addIdentity (MATRIX &&matrix, std::remove_reference_t< decltype(matrix[0][0]) > const scale)
	Add `scale` times the identity matrix to `matrix`. More...

template<std::ptrdiff_t ISIZE, typename MATRIX >
constexpr auto	LvArray::tensorOps::trace (MATRIX const &matrix)

Symmetric matrix operations
Functions that operate on symmetric matrices of any size.
template<std::ptrdiff_t ISIZE, typename SYM_MATRIX >
constexpr void	LvArray::tensorOps::symAddIdentity (SYM_MATRIX &&symMatrix, std::remove_reference_t< decltype(symMatrix[0]) > const scale)
	Add `scale` times the identity matrix to `symMatrix`. More...

template<std::ptrdiff_t ISIZE, typename SYM_MATRIX >
constexpr auto	LvArray::tensorOps::symTrace (SYM_MATRIX const &symMatrix)

Variables
template<std::ptrdiff_t ISIZE>
constexpr std::ptrdiff_t	LvArray::tensorOps::SYM_SIZE = ( ISIZE * ( ISIZE + 1 ) ) / 2
	The size of a symmetric MxM matrix in Voigt notation.

Detailed Description

Contains the implementation of arbitrary sized vector and matrix operations.

Definition in file genericTensorOps.hpp.

Macro Definition Documentation

◆ LVARRAY_TENSOROPS_ASSIGN_2

#define LVARRAY_TENSOROPS_ASSIGN_2	(	var,
		exp0,
		exp1
	)	var[ 0 ] = exp0; var[ 1 ] = exp1

Assign to the length 2 vector var.

Parameters

var	The vector of length 2 to assign to.
exp0	The value to assign to var[ 0 ].
exp1	The value to assign to var[ 1 ].

Definition at line 57 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_ASSIGN_2x2

#define LVARRAY_TENSOROPS_ASSIGN_2x2	(	var,
		exp00,
		exp01,
		exp10,
		exp11
	)

Value:

var[ 0 ][ 0 ] = exp00; var[ 0 ][ 1 ] = exp01; \

var[ 1 ][ 0 ] = exp10; var[ 1 ][ 1 ] = exp11

Assign to the 2x2 matrix var.

Parameters

var	The 2x2 matrix to assign to.
exp00	The value to assign to var[ 0 ][ 0 ].
exp01	The value to assign to var[ 0 ][ 1 ].
exp10	The value to assign to var[ 1 ][ 0 ].
exp11	The value to assign to var[ 1 ][ 1 ].

Definition at line 111 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_ASSIGN_3

#define LVARRAY_TENSOROPS_ASSIGN_3	(	var,
		exp0,
		exp1,
		exp2
	)	var[ 0 ] = exp0; var[ 1 ] = exp1; var[ 2 ] = exp2

Assign to the length 3 vector var.

Parameters

var	The vector of length 3 to assign to.
exp0	The value to assign to var[ 0 ].
exp1	The value to assign to var[ 1 ].
exp2	The value to assign to var[ 2 ].

Definition at line 73 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_ASSIGN_3x3

#define LVARRAY_TENSOROPS_ASSIGN_3x3	(	var,
		exp00,
		exp01,
		exp02,
		exp10,
		exp11,
		exp12,
		exp20,
		exp21,
		exp22
	)

Value:

var[ 0 ][ 0 ] = exp00; var[ 0 ][ 1 ] = exp01; var[ 0 ][ 2 ] = exp02; \
  var[ 1 ][ 0 ] = exp10; var[ 1 ][ 1 ] = exp11; var[ 1 ][ 2 ] = exp12; \
  var[ 2 ][ 0 ] = exp20; var[ 2 ][ 1 ] = exp21; var[ 2 ][ 2 ] = exp22

Assign to the 3x3 matrix var.

Parameters

var	The 3x3 matrix to assign to.
exp00	The value to assign to var[ 0 ][ 0 ].
exp01	The value to assign to var[ 0 ][ 1 ].
exp02	The value to assign to var[ 0 ][ 2 ].
exp10	The value to assign to var[ 1 ][ 0 ].
exp11	The value to assign to var[ 1 ][ 1 ].
exp12	The value to assign to var[ 1 ][ 2 ].
exp20	The value to assign to var[ 2 ][ 0 ].
exp21	The value to assign to var[ 2 ][ 1 ].
exp22	The value to assign to var[ 2 ][ 2 ].

Definition at line 137 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_ASSIGN_6

#define LVARRAY_TENSOROPS_ASSIGN_6	(	var,
		exp0,
		exp1,
		exp2,
		exp3,
		exp4,
		exp5
	)	var[ 0 ] = exp0; var[ 1 ] = exp1; var[ 2 ] = exp2; var[ 3 ] = exp3; var[ 4 ] = exp4; var[ 5 ] = exp5

Assign to the length 6 vector var.

Parameters

var	The vector of length 6 to assign to.
exp0	The value to assign to var[ 0 ].
exp1	The value to assign to var[ 1 ].
exp2	The value to assign to var[ 2 ].
exp3	The value to assign to var[ 3 ].
exp4	The value to assign to var[ 4 ].
exp5	The value to assign to var[ 5 ].

Definition at line 92 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_INIT_LOCAL_2

#define LVARRAY_TENSOROPS_INIT_LOCAL_2 ( EXP ) { EXP[ 0 ], EXP[ 1 ] }

Create an initializer list of length 2 from EXP.

Parameters

EXP	The expression used to create the initialize list.

Definition at line 49 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_INIT_LOCAL_2x2

#define LVARRAY_TENSOROPS_INIT_LOCAL_2x2 ( EXP )

Value:

{ { EXP[ 0 ][ 0 ], EXP[ 0 ][ 1 ] }, \

{ EXP[ 1 ][ 0 ], EXP[ 1 ][ 1 ] } }

Create an 2x2 initializer list from EXP.

Parameters

EXP	The expression used to create the initialize list.

Definition at line 99 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_INIT_LOCAL_3

#define LVARRAY_TENSOROPS_INIT_LOCAL_3 ( EXP ) { EXP[ 0 ], EXP[ 1 ], EXP[ 2 ] }

Create an initializer list of length 3 from EXP.

Parameters

EXP	The expression used to create the initialize list.

Definition at line 64 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_INIT_LOCAL_3x3

#define LVARRAY_TENSOROPS_INIT_LOCAL_3x3 ( EXP )

Value:

{ { EXP[ 0 ][ 0 ], EXP[ 0 ][ 1 ], EXP[ 0 ][ 2 ] }, \
    { EXP[ 1 ][ 0 ], EXP[ 1 ][ 1 ], EXP[ 1 ][ 2 ] }, \
    { EXP[ 2 ][ 0 ], EXP[ 2 ][ 1 ], EXP[ 2 ][ 2 ] } }

Create an 3x3 initializer list from EXP.

Parameters

EXP	The expression used to create the initialize list.

Definition at line 119 of file genericTensorOps.hpp.

◆ LVARRAY_TENSOROPS_INIT_LOCAL_6

#define LVARRAY_TENSOROPS_INIT_LOCAL_6 ( EXP ) { EXP[ 0 ], EXP[ 1 ], EXP[ 2 ], EXP[ 3 ], EXP[ 4 ], EXP[ 5 ] }

Create an initializer list of length 6 from EXP.

Parameters

EXP	The expression used to create the initialize list.

Definition at line 80 of file genericTensorOps.hpp.

Namespaces

Macros

Functions

Variables

Detailed Description

Macro Definition Documentation

◆ LVARRAY_TENSOROPS_ASSIGN_2

◆ LVARRAY_TENSOROPS_ASSIGN_2x2

◆ LVARRAY_TENSOROPS_ASSIGN_3

◆ LVARRAY_TENSOROPS_ASSIGN_3x3

◆ LVARRAY_TENSOROPS_ASSIGN_6

◆ LVARRAY_TENSOROPS_INIT_LOCAL_2

◆ LVARRAY_TENSOROPS_INIT_LOCAL_2x2

◆ LVARRAY_TENSOROPS_INIT_LOCAL_3

◆ LVARRAY_TENSOROPS_INIT_LOCAL_3x3

◆ LVARRAY_TENSOROPS_INIT_LOCAL_6