AMatrix Class Reference

TODO : Transform into template for storing something else from double. More...

#include <AMatrix.hpp>

Inheritance diagram for AMatrix:

Public Member Functions
virtual	~AMatrix ()
void	init (int nrows, int ncols, bool sparse=false)
int	getNRows () const
int	getNCols () const
int	getNTotal () const
virtual double	getValue (int irow, int icol) const
virtual double	getValue (int rank) const
virtual double &	getValueRef (int irow, int icol)
VectorDouble	getValues () const
void	getValuesAsTriplets (VectorInt &irows, VectorInt &icols, VectorDouble &values) const
VectorDouble	getDiagonal (int shift=0) const
VectorDouble	getRow (int irow) const
VectorDouble	getColumn (int icol) const
void	add (int irow, int icol, double value)
void	add (const AMatrix &tab, double value=1.)
void	subtract (const AMatrix &tab, double value=1.)
virtual void	setColumn (int icol, const VectorDouble &tab)
virtual void	setRow (int irow, const VectorDouble &tab)
virtual void	setDiagonal (const VectorDouble &tab)
virtual void	setDiagonal (double value=1.)
const cs *	getCs () const
Triplet	getCsToTriplet (bool flag_from_1=false) const
bool	isSameSize (const AMatrix &m) const
bool	isSparse () const
bool	isEmpty () const
virtual bool	isSquare (bool printWhyNot=false) const
virtual bool	isValid (int irow, int icol, bool printWhyNot=false) const
virtual bool	isIdentity (bool printWhyNot=false) const
virtual bool	isSymmetric (bool printWhyNot=false) const
virtual bool	isDiagonal (bool printWhyNot=false) const
virtual bool	isDiagCst (bool printWhyNot=false) const
virtual bool	mustBeSymmetric () const
virtual bool	mustBeDiagonal () const
virtual bool	mustBeDiagCst () const
bool	isSame (const AMatrix &m, double eps=EPSILON10)
void	reset (int nrows, int ncols, bool sparse=false)
void	reset (int nrows, int ncols, double value, bool sparse=false)
void	reset (int nrows, int ncols, const double *tab, bool sparse=false)
void	reset (int nrows, int ncols, const VectorDouble &tab, bool sparse=false, bool flagByRow=true)
void	reset (const VectorVectorDouble &tab, bool flagByRow=true)
double	compare (const AMatrix &mat) const
void	toSparseInPlace ()
AMatrix *	toSparse () const
virtual void	transposeInPlace ()
virtual AMatrix *	transpose () const
virtual void	addScalar (double v)
virtual void	addScalarDiag (double v)
virtual void	prodScalar (double v)
void	prodVector (const double *inv, double *outv) const
void	prodVector (const VectorDouble &inv, VectorDouble &outv) const
void	multiplyRow (const VectorDouble &vec)
void	multiplyColumn (const VectorDouble &vec)
void	divideRow (const VectorDouble &vec)
void	divideColumn (const VectorDouble &vec)
virtual void	addMatrix (const AMatrix &y)
virtual void	prodMatrix (const AMatrix &x, const AMatrix &y)
virtual void	linearCombination (double cx, double cy, const AMatrix &y)
int	invert ()
int	solve (const VectorDouble &b, VectorDouble &x) const
void	dumpElements (const String &title, int ifrom, int ito) const
virtual String	toString (const AStringFormat *strfmt=nullptr) const override
virtual void	setValue (int irow, int icol, double value)
virtual void	setValue (int rank, double value)
void	setIdentity (double value=1.)
void	fill (double value)
void	fillRandom (int seed=432432, double zeroPercent=0.1)
void	setValuesOldStyle (const double *values, bool byCol=true)
void	setValues (const VectorDouble &values, bool byCol=true)
void	setValuesByArrays (const VectorInt &irows, const VectorInt &icols, const VectorDouble &values)
double	getMeanByColumn (int icol) const
double	getMinimum () const
double	getMaximum () const
void	copyReduce (const AMatrix *x, const VectorInt &validRows, const VectorInt &validCols)
double	operator() (int row, int col) const
double &	operator() (int row, int col)
Public Member Functions inherited from AStringable
	AStringable ()
	AStringable (const AStringable &r)
AStringable &	operator= (const AStringable &r)
virtual	~AStringable ()
virtual void	display (const AStringFormat *strfmt=nullptr) const final
virtual void	display (int level) const final
Public Member Functions inherited from ICloneable
	ICloneable ()
virtual	~ICloneable ()
virtual ICloneable *	clone () const =0

Protected Member Functions
	AMatrix (int nrow=0, int ncol=0, bool sparse=false)
	AMatrix (const cs *A)
	AMatrix (const AMatrix &m)
AMatrix &	operator= (const AMatrix &m)
virtual bool	_isPhysicallyPresent (int, int) const
virtual bool	_isCompatible (const AMatrix &m) const =0
virtual void	_allocate ()=0
virtual void	_deallocate ()=0
virtual int	_getMatrixSize () const =0
virtual void	_setValue (int rank, double value)=0
virtual void	_setValue (int irow, int icol, double value)=0
virtual void	_setValues (const double *values, bool byCol)=0
virtual double	_getValue (int irow, int icol) const =0
virtual double	_getValue (int rank) const =0
virtual double &	_getValueRef (int irow, int icol)=0
virtual void	_transposeInPlace ()=0
virtual void	_prodVector (const double *inv, double *outv) const =0
virtual int	_invert ()=0
virtual int	_solve (const VectorDouble &b, VectorDouble &x) const =0
virtual void	_clearContents ()
void	_setNCols (int ncols)
void	_setNRows (int nrows)
bool	_isNumbersValid (int nrows, int ncols) const
bool	_isColumnValid (int icol) const
bool	_isRowValid (int irow) const
bool	_isIndexValid (int irow, int icol) const
bool	_isRowVectorConsistent (const VectorDouble &tab)
bool	_isColVectorConsistent (const VectorDouble &tab)
bool	_isVectorSizeConsistent (int nrows, int ncols, const VectorDouble &tab)
bool	_isRankValid (int rank) const
void	_clear ()

Private Member Functions
void	_setSparse (bool sparse)
void	_initiateSparse ()
void	_recopySparse (const cs *cs)
void	_deallocateSparse ()
void	_forbiddenForSparse (const String &func) const

Private Attributes
int	_nRows
int	_nCols
bool	_sparse
cs *	_csMatrix

Detailed Description

TODO : Transform into template for storing something else from double.

Matrix

Constructor & Destructor Documentation

AMatrix() [1/3]

AMatrix::AMatrix ( int  nrow = 0, int  ncol = 0, bool  sparse = false  )

protected

AMatrix() [2/3]

AMatrix::AMatrix ( const cs *  A )

protected

AMatrix() [3/3]

AMatrix::AMatrix ( const AMatrix &  m )

protected

~AMatrix()

AMatrix::~AMatrix ( )

virtual

Member Function Documentation

_allocate()

virtual void AMatrix::_allocate ( )

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_clear()

void AMatrix::_clear ( )

protected

_clearContents()

virtual void AMatrix::_clearContents ( )

inlineprotectedvirtual

Reimplemented in Table.

_deallocate()

virtual void AMatrix::_deallocate ( )

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_deallocateSparse()

void AMatrix::_deallocateSparse ( )

private

_forbiddenForSparse()

void AMatrix::_forbiddenForSparse ( const String &  func ) const

private

_getMatrixSize()

virtual int AMatrix::_getMatrixSize ( ) const

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_getValue() [1/2]

virtual double AMatrix::_getValue ( int  irow, int  icol  ) const

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_getValue() [2/2]

virtual double AMatrix::_getValue ( int  rank ) const

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_getValueRef()

virtual double& AMatrix::_getValueRef ( int  irow, int  icol  )

protectedpure virtual

Implemented in MatrixSquareDiagonalCst, MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixRectangular, and MatrixSquareGeneral.

_initiateSparse()

void AMatrix::_initiateSparse ( )

private

This strange function instantiate a sparse matrix with given dimensions filled with zeroes. It should be an empty matrix... But this does not make sense. Therefore it is created by setting a single element at the lower bottom size of the matrix ... filled with a zero.

_invert()

virtual int AMatrix::_invert ( )

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_isColumnValid()

bool AMatrix::_isColumnValid ( int  icol ) const

protected

_isColVectorConsistent()

bool AMatrix::_isColVectorConsistent ( const VectorDouble &  tab )

protected

_isCompatible()

virtual bool AMatrix::_isCompatible ( const AMatrix &  m ) const

protectedpure virtual

Implemented in MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixSquareSymmetric, MatrixRectangular, and MatrixSquareGeneral.

_isIndexValid()

bool AMatrix::_isIndexValid ( int  irow, int  icol  ) const

protected

_isNumbersValid()

bool AMatrix::_isNumbersValid ( int  nrows, int  ncols  ) const

protected

_isPhysicallyPresent()

virtual bool AMatrix::_isPhysicallyPresent ( int  , int    ) const

inlineprotectedvirtual

Say if (irow, icol) is stored physically or not

Reimplemented in MatrixSquareDiagonal, MatrixSquareDiagonalCst, and MatrixSquareSymmetric.

_isRankValid()

bool AMatrix::_isRankValid ( int  rank ) const

protected

_isRowValid()

bool AMatrix::_isRowValid ( int  irow ) const

protected

_isRowVectorConsistent()

bool AMatrix::_isRowVectorConsistent ( const VectorDouble &  tab )

protected

_isVectorSizeConsistent()

bool AMatrix::_isVectorSizeConsistent ( int  nrows, int  ncols, const VectorDouble &  tab  )

protected

_prodVector()

virtual void AMatrix::_prodVector ( const double *  inv, double *  outv  ) const

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_recopySparse()

void AMatrix::_recopySparse ( const cs *  cs )

private

_setNCols()

void AMatrix::_setNCols ( int  ncols )

inlineprotected

_setNRows()

void AMatrix::_setNRows ( int  nrows )

inlineprotected

_setSparse()

void AMatrix::_setSparse ( bool  sparse )

inlineprivate

_setValue() [1/2]

virtual void AMatrix::_setValue ( int  rank, double  value  )

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_setValue() [2/2]

virtual void AMatrix::_setValue ( int  irow, int  icol, double  value  )

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_setValues()

virtual void AMatrix::_setValues ( const double *  values, bool  byCol  )

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_solve()

virtual int AMatrix::_solve ( const VectorDouble &  b, VectorDouble &  x  ) const

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixSquareDiagonalCst, MatrixRectangular, and MatrixSquareGeneral.

_transposeInPlace()

virtual void AMatrix::_transposeInPlace ( )

protectedpure virtual

Implemented in MatrixSquareSymmetric, MatrixSquareDiagonal, MatrixRectangular, and MatrixSquareGeneral.

add() [1/2]

void AMatrix::add	(	int	irow,
		int	icol,
		double	value
	)

Add a value to a matrix term

add() [2/2]

void AMatrix::add	(	const AMatrix &	tab,
		double	value = 1.
	)

Add a matrix to this

Perform: this += 'value' * 'tab'

Parameters

tab	Current matrix
value	Multiplicative coefficient (default = 1)

addMatrix()

void AMatrix::addMatrix ( const AMatrix &  y )

virtual

Add a matrix to this component by component

Add the matrix 'y' to the current Matrix

Parameters

y	Matrix to be added

addScalar()

void AMatrix::addScalar ( double  v )

virtual

Add a value to each matrix component

Parameters

v	Add a scalar value to all terms of the current matrix

Reimplemented in MatrixSquareDiagonal, and MatrixSquareDiagonalCst.

addScalarDiag()

void AMatrix::addScalarDiag ( double  v )

virtual

Add value to matrix diagonal

Parameters

v	Add constant value to the diagonal of the current Matrix

Reimplemented in MatrixSquareDiagonalCst.

compare()

double AMatrix::compare

(

const AMatrix &

mat

)

const

Returns the sum of absolute difference between argument and this

copyReduce()

void AMatrix::copyReduce	(	const AMatrix *	x,
		const VectorInt &	validRows,
		const VectorInt &	validCols
	)

divideColumn()

void AMatrix::divideColumn

(

const VectorDouble &

vec

)

Divide a Matrix column-wise

divideRow()

void AMatrix::divideRow

(

const VectorDouble &

vec

)

Divide a Matrix row-wise

dumpElements()

void AMatrix::dumpElements	(	const String &	title,
		int	ifrom,
		int	ito
	)		const

Dump a specific range of samples from the internal storage

fill()

void AMatrix::fill

(

double

value

)

Set all the values of the Matrix at once

Fill 'this' with the constant 'value'

Parameters

value

Constant value used for filling 'this'

fillRandom()

void AMatrix::fillRandom	(	int	seed = 432432,
		double	zeroPercent = 0.1
	)

getColumn()

VectorDouble AMatrix::getColumn

(

int

icol

)

const

Extract a Column

getCs()

const cs* AMatrix::getCs ( ) const

inline

Returns a pointer to the Sparse storage

getCsToTriplet()

Triplet AMatrix::getCsToTriplet

(

bool

flag_from_1 = false

)

const

getDiagonal()

VectorDouble AMatrix::getDiagonal

(

int

shift = 0

)

const

Extract a Diagonal (main or secondary) of this

getMaximum()

double AMatrix::getMaximum

(

)

const

getMeanByColumn()

double AMatrix::getMeanByColumn

(

int

icol

)

const

getMinimum()

double AMatrix::getMinimum

(

)

const

getNCols()

int AMatrix::getNCols ( ) const

inline

Returns the number of columns

getNRows()

int AMatrix::getNRows ( ) const

inline

Returns the number of rows

getNTotal()

int AMatrix::getNTotal ( ) const

inline

Get the total number of elements of the (full) matrix

getRow()

VectorDouble AMatrix::getRow

(

int

irow

)

const

Extract a Row

getValue() [1/2]

double AMatrix::getValue ( int  irow, int  icol  ) const

virtual

Gets the value at row 'irow' and column 'icol'

getValue() [2/2]

double AMatrix::getValue ( int  rank ) const

virtual

Gets the value at rank 'rank'

getValueRef()

double & AMatrix::getValueRef ( int  irow, int  icol  )

virtual

Gets a reference to the value at row 'irow' and column 'icol'

getValues()

VectorDouble AMatrix::getValues

(

)

const

Returns the contents of the whole matrix as a VectorDouble

getValuesAsTriplets()

void AMatrix::getValuesAsTriplets	(	VectorInt &	irows,
		VectorInt &	icols,
		VectorDouble &	values
	)		const

Extract the contents of the matrix

From a matrix of any type, creates the three vectors of the triplet (specific format for creating efficiently a Sparse matrix) It only takes the only non-zero elements of the matrix

Parameters

irows	Output array of row indices
icols	Output array of column indices
values	Output array of non-zero values

TODO : use cs_sparce corresponding function

init()

void AMatrix::init	(	int	nrows,
		int	ncols,
		bool	sparse = false
	)

invert()

int AMatrix::invert

(

)

Matrix inversion in place

isDiagCst()

bool AMatrix::isDiagCst ( bool  printWhyNot = false ) const

virtual

Check if the contents of the matrix is constant and diagonal

isDiagonal()

bool AMatrix::isDiagonal ( bool  printWhyNot = false ) const

virtual

Check if the matrix is (non empty) diagonal

Reimplemented in MatrixSquareDiagonal.

isEmpty()

bool AMatrix::isEmpty ( ) const

inline

Returns if the current matrix is Empty

isIdentity()

bool AMatrix::isIdentity ( bool  printWhyNot = false ) const

virtual

Check if the matrix is square and Identity

isSame()

bool AMatrix::isSame	(	const AMatrix &	m,
		double	eps = EPSILON10
	)

Check if a matrix is the same as me (norm L1)

isSameSize()

bool AMatrix::isSameSize

(

const AMatrix &

m

)

const

Check that both matrix have the same number of rows and columns

Check that Matrix 'm' share the same dimensions as current one

Parameters

m	Matrix to be compared to the current Matrix

Returns

true if 'm' has same dimensions as the current Matrix

isSparse()

bool AMatrix::isSparse ( ) const

inline

Returns if the current matrix is Sparse

isSquare()

bool AMatrix::isSquare ( bool  printWhyNot = false ) const

virtual

Check if the matrix is (non empty) square

Reimplemented in MatrixSquareGeneral.

isSymmetric()

bool AMatrix::isSymmetric ( bool  printWhyNot = false ) const

virtual

Check if the input matrix is (non empty and square) symmetric

Reimplemented in MatrixSquareSymmetric.

isValid()

bool AMatrix::isValid ( int  irow, int  icol, bool  printWhyNot = false  ) const

virtual

Indicate if the given indices are valid for the current matrix size

Indicate if the given indices are valid for the current matrix size

Parameters

irow	Row index
icol	Column index
printWhyNot	Print the message is the answer if false

Returns

true if indices are valid for the current matrix size

Reimplemented in MatrixSquareDiagonalCst, and MatrixSquareDiagonal.

linearCombination()

void AMatrix::linearCombination ( double  cx, double  cy, const AMatrix &  y  )

virtual

Linear combination of matrices

Updates the current Matrix as a linear combination of matrices as follows: this <- cx * this + cy * y

Parameters

cx	Coefficient applied to the current Matrix
cy	Coefficient applied to the Matrix 'y'
y	Second Matrix in the Linear combination

multiplyColumn()

void AMatrix::multiplyColumn

(

const VectorDouble &

vec

)

Multiply a Matrix column-wise

multiplyRow()

void AMatrix::multiplyRow

(

const VectorDouble &

vec

)

Multiply a Matrix row-wise

mustBeDiagCst()

virtual bool AMatrix::mustBeDiagCst ( ) const

inlinevirtual

Say if the matrix must be diagonal constant

Reimplemented in MatrixSquareDiagonal, MatrixSquareSymmetric, MatrixSquareGeneral, MatrixSquareDiagonalCst, and MatrixRectangular.

mustBeDiagonal()

virtual bool AMatrix::mustBeDiagonal ( ) const

inlinevirtual

Say if the matrix must be diagonal

Reimplemented in MatrixSquareDiagonal, MatrixSquareSymmetric, MatrixSquareGeneral, and MatrixRectangular.

mustBeSymmetric()

virtual bool AMatrix::mustBeSymmetric ( ) const

inlinevirtual

Say if the matrix must be symmetric

Reimplemented in MatrixSquareSymmetric, MatrixSquareGeneral, and MatrixRectangular.

operator()() [1/2]

double AMatrix::operator() ( int  row, int  col  ) const

inline

Get value operator override

operator()() [2/2]

double& AMatrix::operator() ( int  row, int  col  )

inline

Set value operator override

operator=()

AMatrix & AMatrix::operator= ( const AMatrix &  m )

protected

prodMatrix()

void AMatrix::prodMatrix ( const AMatrix &  x, const AMatrix &  y  )

virtual

Multiply a matrix by another and store the result in the current matrix

Store the product of 'x' by 'y' in this

Parameters

x	First Matrix
y	Second matrix

prodScalar()

void AMatrix::prodScalar ( double  v )

virtual

Multiply each matrix component by a value

Parameters

v	Multiply all the terms of the matrix by the scalar 'v'

prodVector() [1/2]

void AMatrix::prodVector	(	const double *	inv,
		double *	outv
	)		const

Product of the Matrix by a vector (on its right)

Parameters

inv	Input vector
outv	Output vector obtained by multiplying 'inv' by current Matrix

prodVector() [2/2]

void AMatrix::prodVector	(	const VectorDouble &	inv,
		VectorDouble &	outv
	)		const

reset() [1/5]

void AMatrix::reset	(	int	nrows,
		int	ncols,
		bool	sparse = false
	)

reset() [2/5]

void AMatrix::reset	(	int	nrows,
		int	ncols,
		double	value,
		bool	sparse = false
	)

reset() [3/5]

void AMatrix::reset	(	int	nrows,
		int	ncols,
		const double *	tab,
		bool	sparse = false
	)

reset() [4/5]

void AMatrix::reset	(	int	nrows,
		int	ncols,
		const VectorDouble &	tab,
		bool	sparse = false,
		bool	flagByRow = true
	)

reset() [5/5]

void AMatrix::reset	(	const VectorVectorDouble &	tab,
		bool	flagByRow = true
	)

setColumn()

void AMatrix::setColumn ( int  icol, const VectorDouble &  tab  )

virtual

Set the contents of a Column

Reimplemented in MatrixSquareDiagonalCst, and MatrixSquareDiagonal.

setDiagonal() [1/2]

void AMatrix::setDiagonal ( const VectorDouble &  tab )

virtual

Set the contents of the (main) Diagonal

Reimplemented in MatrixSquareDiagonalCst.

setDiagonal() [2/2]

void AMatrix::setDiagonal ( double  value = 1. )

virtual

setIdentity()

void AMatrix::setIdentity

(

double

value = 1.

)

Sets the matrix as Identity

setRow()

void AMatrix::setRow ( int  irow, const VectorDouble &  tab  )

virtual

Set the contents of a Row

Reimplemented in MatrixSquareDiagonalCst, and MatrixSquareDiagonal.

setValue() [1/2]

void AMatrix::setValue ( int  irow, int  icol, double  value  )

virtual

Sets the value at row 'irow' and column 'icol'

setValue() [2/2]

void AMatrix::setValue ( int  rank, double  value  )

virtual

Sets the value at rank 'rank'

setValues()

void AMatrix::setValues	(	const VectorDouble &	values,
		bool	byCol = true
	)

Filling the matrix with an array of values Note that this array is ALWAYS dimensioned to the total number of elements in the matrix. Kept for compatibility with old code where matrix contents was stored as a VectorDouble

Parameters

values
byCol	true for Column major; false for Row Major

setValuesByArrays()

void AMatrix::setValuesByArrays	(	const VectorInt &	irows,
		const VectorInt &	icols,
		const VectorDouble &	values
	)

setValuesOldStyle()

void AMatrix::setValuesOldStyle	(	const double *	values,
		bool	byCol = true
	)

Filling the matrix with an array of values Note that this array is ALWAYS dimensioned to the total number of elements in the matrix. Kept for compatibility with old code where matrix contents was stored as a double* array

Parameters

values	Input array (Dimension: nrow * ncol)
byCol	true for Column major; false for Row Major

solve()

int AMatrix::solve	(	const VectorDouble &	b,
		VectorDouble &	x
	)		const

Solving the Matrix Linear system

subtract()

void AMatrix::subtract	(	const AMatrix &	tab,
		double	value = 1.
	)

Subtract a matrix to this

toSparse()

AMatrix * AMatrix::toSparse

(

)

const

Transform any matrix in a Sparse format

toSparseInPlace()

void AMatrix::toSparseInPlace

(

)

Transform the current matrix (any format) in a Sparse format in place

toString()

String AMatrix::toString ( const AStringFormat *  strfmt = nullptr ) const

overridevirtual

Conversion to a string

Reimplemented from AStringable.

Reimplemented in MatrixSquareSymmetric, Table, MatrixSquareDiagonal, and MatrixSquareDiagonalCst.

transpose()

AMatrix * AMatrix::transpose ( ) const

virtual

Transpose the matrix and return it as a copy

transposeInPlace()

void AMatrix::transposeInPlace ( )

virtual

Transpose the matrix in place

Reimplemented in MatrixSquareDiagonalCst, and MatrixSquareDiagonal.

Member Data Documentation

_csMatrix

cs* AMatrix::_csMatrix

private

_nCols

int AMatrix::_nCols

private

_nRows

int AMatrix::_nRows

private

_sparse

bool AMatrix::_sparse

private

---

The documentation for this class was generated from the following files:

• include/Matrix/AMatrix.hpp
• src/Matrix/AMatrix.cpp