#include <LAP_DoubleFullGeneralMatrix.h>

Inheritance diagram for LAP_DoubleFullGeneralMatrix:

Collaboration diagram for LAP_DoubleFullGeneralMatrix:

Public Member Functions
	LAP_DoubleFullGeneralMatrix ()
	build a matrix More...

	LAP_DoubleFullGeneralMatrix (const tLVectorIndex &n, const tLVectorIndex &m)
	build a matrix More...

	LAP_DoubleFullGeneralMatrix (const LAP_DoubleFullGeneralMatrix &mat)
	build a matrix More...

virtual	~LAP_DoubleFullGeneralMatrix ()
	destroy a matrix More...

virtual SP::LAP_DoubleMatrix	NewInstance () const
	create a New instance of this More...

virtual double &	operator() (const tLVectorIndex &i, const tLVectorIndex &j)
	accessor of element at row i and column j taking into account the row More...

virtual const double &	operator() (const tLVectorIndex &i, const tLVectorIndex &j) const
	accessor of element at row i and column j More...

LAP_DoubleFullGeneralMatrix &	operator= (const double &s)
	init all the matrix to s More...

LAP_DoubleFullGeneralMatrix &	operator= (const LAP_DoubleFullGeneralMatrix &s)
	init all the matrix to s More...

LAP_DoubleFullGeneralMatrix &	operator^= (const lapack_real &s)
	power by s the matrix v More...

LAP_DoubleFullGeneralMatrix &	operator*= (const lapack_real &s)
	multiply by s the matrix More...

LAP_DoubleFullGeneralMatrix &	operator/= (const lapack_real &s)
	divide by s the matrix v More...

LAP_DoubleFullGeneralMatrix &	operator+= (const lapack_real &s)
	add s to the upper matrix More...

LAP_DoubleFullGeneralMatrix &	operator-= (const lapack_real &s)
	sub s to the upper matrix More...

LAP_DoubleFullGeneralMatrix &	operator*= (const LAP_DoubleFullGeneralMatrix &s)
	multiply the viewed matrices term by term More...

LAP_DoubleFullGeneralMatrix &	operator/= (const LAP_DoubleFullGeneralMatrix &s)
	divide the viewed matrices term by term More...

LAP_DoubleFullGeneralMatrix &	operator-= (const LAP_DoubleFullGeneralMatrix &s)
	sub the viewed matrix More...

LAP_DoubleFullGeneralMatrix &	operator+= (const LAP_DoubleFullGeneralMatrix &s)
	add the viewed matrix More...

virtual void	setSize (const tLVectorIndex &n, const tLVectorIndex &p)
	set the dimension of the matrix and allocate the values array More...

virtual void	setSize (const tLVectorIndex &n)
	set the dimension of the matrix and alocate the values array More...

virtual void	setValues (const tLVectorIndex &n, const tLVectorIndex &p, SP::LAP_DoubleVector v)
	set the values of the matrix to V without allocation the values array More...

virtual void	setValues (SP::LAP_DoubleVector v)
	set the values n is the size of values. the size of the matrix is sqrt(n)xsqrt(n) More...

virtual void	setValues (const tLVectorIndex &n, const tLVectorIndex &p, const double *values)
	set the values More...

virtual void	setValues (const tLVectorIndex &n, const double *values)
	set the values n is the size of values. the size of the matrix is sqrt(n)xsqrt(n) More...

void	concat (const double &alpha, const LAP_DoubleFullGeneralMatrix &X, const double &beta, const LAP_DoubleFullGeneralMatrix &Y)
	concat This-> [alpha X, beta Y] add the colmuns of Y to the columns of X to becomes A More...

tLVectorIncrement	getRowIncrement () const
	get the memory distance between (this)(i,j) & (this)(i+1,j) More...

tLVectorIndex	getLeadingDimension () const
	get the memory distance between (this)(i,j) & (this)(i,j+1) More...

void	transpose ()
	transpose the matrix More...

tBoolean	isTransposed () const
	return the transposed More...

virtual tLVectorIndex	getRowsNumber () const
	get the lines number of the matrix from view More...

virtual tLVectorIndex	getColumnsNumber () const
	get the columns number of the matrix from view More...

void	add (const double &alpha, const LAP_DoubleFullGeneralMatrix &x)
	This+=alpha.x. More...

virtual void	getColumn (const tLVectorIndex &j, LAP_DoubleVector &v) const
	get the viewed j-th column in a vector More...

virtual void	getColumn (const tLVectorIndex &j, SP::LAP_DoubleVector v) const
	get the viewed j-th column in a vector More...

void	getColumnByReference (const tLVectorIndex &j, LAP_DoubleVector &v)
	get the column by reference the values of v pointer to the values of the column j of this More...

void	getColumnByReference (const tLVectorIndex &j, LAP_ConstDoubleVector &v) const
	get the column by reference the values of v pointer to the values of the column j of this More...

virtual void	getRow (const tLVectorIndex &i, SP::LAP_DoubleVector v) const
	get the i-th viewed row in a vector More...

virtual void	getRow (const tLVectorIndex &i, LAP_DoubleVector &v) const
	get the i-th viewed row in a vector More...

void	getRowByReference (const tLVectorIndex &i, LAP_DoubleVector &v)
	get the row by reference the values of v pointer to the values of the column j of this More...

void	getRowByReference (const tLVectorIndex &i, LAP_ConstDoubleVector &v) const
	get the row by reference the values of v pointer to the values of the column j of this More...

void	removeColumn (const tLVectorIndex &index)
	remove column at index More...

void	swapColumns (const tLVectorIndex &i, const tLVectorIndex &j)
	swap the viewed columns i & j More...

void	reverseColumns ()
	reverse the viewed columns of the matrix More...

tBoolean	symmetricTest () const
	test if the matrix is symmetric with epsilon difference More...

tBoolean	upperTest () const
	test if the matrix is upper More...

tBoolean	lowerTest () const
	test if the matrix is symmetric with epsilon difference More...

virtual tReal	norm2 () const
	return norm2 sqrt(sum_ij(aij^2))=sqrt(tr(AtA)); More...

virtual tReal	norm2 (LAP_DoubleVector &v) const
	return norm2 of the matrix and for each row; More...

virtual tReal	sum (const tFlag &d, LAP_DoubleVector &s) const
	make the sum among the direction if (d==ROW) sum all the columns of each row and size of s is the number of rows if (d==COL) sum all the rows of each column and size of s is the number of columns ^return the sum of all the element of the matrix More...

virtual tReal	sum (const tFlag &d, const tLVectorIndex &index) const
	make the sum among the direction if (d==ROW) sum all the columns of row index if (d==COL) sum all the rows of coluln at index More...

virtual tReal	max (const tFlag &d, const tLVectorIndex &index) const
	make get max among the direction if (d==ROW) max of all the columns of row index if (d==COL) max of all the rows of column at index More...

void	indexMin (tLVectorIndex &i, tLVectorIndex &j) const
	get the index of the min view element in absolute value More...

virtual void	vectorProduct (const LAP_DoubleVector &X, LAP_DoubleVector &Y) const
	compute Y= This. X More...

void	vectorProduct (const tBoolean &isTrans, const LAP_DoubleVector &X, const lapack_real &alpha, const lapack_real &beta, LAP_DoubleVector &Y) const
	return Y=betaY+alpha.op(This).X More...

void	vectorProduct (const tBoolean &isTrans, const LAP_ConstDoubleVector &X, const lapack_real &alpha, const lapack_real &beta, LAP_DoubleVector &Y) const
	return Y=betaY+alpha.op(This).X More...

virtual void	vectorProduct (const tBoolean &isTrans, const tLVectorIndex &nx, const tLVectorIncrement &incx, const double x, const lapack_real &alpha, const lapack_real &beta, const tLVectorIndex &ny, const tLVectorIncrement &incy, double y) const
	compute Y= betaY + alpha. op(This). X More...

virtual SP::LAP_DoubleMatrix	matrixProduct (const LAP_DoubleMatrix &B) const
	return C= This.B More...

tBoolean	matrixProduct (const LAP_DoubleMatrix &B, LAP_DoubleFullGeneralMatrix &C) const
	general return C=(This) . B More...

void	matrixProduct (const LAP_DoubleFullGeneralMatrix &B, LAP_DoubleFullGeneralMatrix &C) const
	make the product : C:=This. B More...

void	matrixProduct (const tBoolean &isLeftSide, const tBoolean &isTrans, const LAP_DoubleFullGeneralMatrix &B, const double &alpha, LAP_DoubleFullGeneralMatrix &C) const
	make the product : C:=op(This).B (leftSide=true) C:=B. op(This) (leftSide=false) More...

virtual tBoolean	computeEigenValues (LAP_DoubleVector &U) const
	compute the eigen values of This: A is copied More...

virtual tBoolean	computeEigenValueDecomposition (LAP_DoubleVector &U)
	compute the eigen values decomposition on this: A is destroyed such that it contains the eigen vectors this is modified to store the eigen vectors More...

virtual tBoolean	computeEigenValueDecomposition (LAP_DoubleVector &U, LAP_DoubleMatrix &VR) const
	compute the eigen values decomposition on A: A is copied More...

void	orthogonalize ()

void	orthogonalize (const tFlag &m)

virtual tBoolean	inverse ()
	inverse the matrix More...

tBoolean	solve (const tBoolean &isTr, LAP_DoubleFullGeneralMatrix &X) const
	solve op(This).X=B where K is the number of colums of B More...

tBoolean	LUSolve (const tBoolean &isTr, LAP_DoubleFullGeneralMatrix &X)
	solve op(This).X=B where K is the number of colums of B More...

virtual tBoolean	isSymmetric () const
	return true if the matrix is symmetric More...

virtual tBoolean	isUpper () const
	return true if the matrix is upper More...

const double &	operator[] (const tLVectorIndex &index) const
	get the element at index More...

double &	operator[] (const tLVectorIndex &index)
	get the element at index More...

virtual tBoolean	copy (const LAP_DoubleMatrix &x)
	copy a matrix More...

tBoolean	copy (SPC::LAP_DoubleMatrix x)
	copy a matrix More...

tBoolean	copy (LAP_DoubleMatrix *x)
	copy a matrix More...

virtual tBoolean	copy (const LAP_Matrix &matrix)
	copy operator More...

void	init (const double v)
	init the values to v More...

void	set (const tLVectorIndex &i, const tLVectorIndex &j, const double &v)
	set the value of the element at row i and column j More...

void	add (const tLVectorIndex &i, const tLVectorIndex &j, const double &v)
	add v to the view term (i,j) of the matrix More...

void	setStorage (SP::LAP_DoubleMatrixStorage s)
	set the storage More...

double	get (const tLVectorIndex &i, const tLVectorIndex &j) const
	get the value taking into account the view More...

LAP_DoubleMatrixStorage &	getStorage ()
	set the storage More...

const LAP_DoubleMatrixStorage &	getStorage () const
	set the storage More...

double	trace () const
	return trace More...

void	addDiagonal (const double &alpha)
	This +=alpha.I. More...

pair< tLVectorIndex, tLVectorIndex >	computeBandsNumber () const

double	getFillRate () const
	get the fill rate of the matrix More...

tLVectorIndex	getNullValuesNumber () const
	get the number of null values More...

tLVectorIndex	getValuesNumber () const
	get the number of values More...

virtual SP::LAP_DoubleVector	vectorProduct (const LAP_DoubleVector &X) const
	compute This. X More...

virtual void	vectorProduct (SPC::LAP_DoubleVector &X, SP::LAP_DoubleVector &Y) const
	rcompute Y= This X More...

virtual void	vectorProduct (const tBoolean &isTrans, const LAP_DoubleVector &X, LAP_DoubleVector &Y) const
	compute Y= op(This). X More...

virtual void	vectorProduct (const tBoolean &isTrans, const tLVectorIndex &nX, const tLVectorIncrement &incX, const double X, const double &alpha, const double &beta, const tLVectorIndex &nY, const tLVectorIncrement &incY, double Y) const =0
	compute Y= beta Y + alpha op(This). X with op(A)=A or tA depending on isTrans value More...

virtual tString	toString () const
	print the matrix taking into account the view More...

const tLVectorIndex &	getSize (const tFlag &direction) const
	get the size in direction More...

double &	getNullValue ()
	get a null value More...

const double &	getNullValue () const
	get a const null value More...

tBoolean	isNullValue (const double &v) const
	return true if the value is a null More...

void	getSharedPointer (SP::CORE_Object &p)
	get the shared pointer of this class into p More...

void	getSharedPointer (SPC::CORE_Object &p) const
	get the shared pointer of this class into p More...

tString	getClassName () const
	return the class name of the object More...

tString	getIdentityString () const
	return the identity string of the object of the form className_at_address More...

tString	getPointerAddress () const
	return the identity string of the object More...

template<class T >
tBoolean	isInstanceOf () const
	return true if the object is an instance of T More...

virtual void	print ()
	print the class More...

virtual ostream &	print (ostream &out) const
	print the class More...

virtual void	print (const tString &message)
	print the class More...

virtual void	print (const tInteger &str)
	print More...

virtual void	print (const tRelativeInteger &str)
	print More...

virtual void	print (const tReal &str)
	print More...

virtual void	print (const int &str)
	print More...

Static Public Member Functions
static SP::LAP_DoubleFullGeneralMatrix	New ()

static SP::LAP_DoubleFullGeneralMatrix	New (const int &n, const int &m)

static SP::LAP_DoubleFullGeneralMatrix	New (const tLVectorIndex &n, const tLVectorIndex &m)

static SP::LAP_DoubleFullGeneralMatrix	Identity (const tLVectorIndex &nRows)
	create an identity matrix More...

static void	matrixProduct (const tBoolean &isTrA, const LAP_DoubleFullGeneralMatrix &A, const tBoolean &isTrB, const LAP_DoubleFullGeneralMatrix &B, const lapack_real &alpha, const lapack_real &beta, LAP_DoubleFullGeneralMatrix &C)
	make the product C = alpha. op(A).op(B) +beta C More...

static void	matrixProduct (const tBoolean &isTrA, const tLVectorIndex &nRowsA, const tLVectorIndex &nColsA, const tLVectorIndex &ldA, const double A, const tBoolean &isTrB, const tLVectorIndex &nRowsB, const tLVectorIndex &nColsB, const tLVectorIndex &ldB, const double B, const lapack_real &alpha, const lapack_real &beta, LAP_DoubleFullGeneralMatrix &C)
	make the product of 2 full matrix (general, upper,symmetric) C = alpha. op(A).op(B) +beta C with op(T)=tT or op(T)=T More...

static tBoolean	computeEigenValues (LAP_DoubleFullGeneralMatrix &A, LAP_DoubleVector &U)
	compute the eigen values of A and A is destroyed after method More...

static tBoolean	computeEigenValueDecomposition (LAP_DoubleFullGeneralMatrix &A, LAP_DoubleVector &U, LAP_DoubleFullGeneralMatrix &VR)
	compute the eigen elements of A A is supposed to be non symmetric: A is destroyed More...

static tBoolean	solve (const LAP_DoubleFullGeneralMatrix &A, const lapack_int *ipiv, const tBoolean &isTr, LAP_DoubleFullGeneralMatrix &X)
	solve op(This).X=B where K is the number of colums of B More...

static double	zpow (const double &f, const int &n)
	compute the value of pow(f,n)=f^n More...

static tString	getClassName (const tString &identityString)
	return the class name of the object using only the identity string More...

template<class T >
static tString	getTypeName ()
	get type name More...

static tBoolean	is64Architecture ()
	return true if the machine is a 64 bits machine More...

static tBoolean	is32Architecture ()
	return true if the machine is a 32 bits machine More...

static tString	pointer2String (const void *obj)
	return the string represantation of a pointer More...

static void	setOutput (ostream &out)
	set output More...

static ostream &	getOutput ()
	get output More...

static void	printObjectsInMemory ()
	print object in memory More...

static ostream &	print (ostream &out, const tString &message)
	print the class More...

static void	outputPrint (const tString &message)

Static Public Attributes
static const tFlag	QR =1

static const tFlag	QRP =2

static const tFlag	ROW =0

static const tFlag	COL =1

static double	ZERO_EPSILON =1.e-18

static tBoolean	mIsMemoryTesting =false
	indicator to store all classes created and deleted only for debuging version More...

Protected Member Functions
void	setThis (SP::CORE_Object p)
	set this weak shared pointer called toDoAfterThis setting method More...

virtual void	setType (tString type)
	set the type of the object More...

virtual void	toDoAfterThisSetting ()
	method called after setThis() method this method can oly be called once. More...

Constructor & Destructor Documentation

LAP_DoubleFullGeneralMatrix::LAP_DoubleFullGeneralMatrix ( )

build a matrix

References LAP_DoubleFullStorage::New(), null, and LAP_DoubleMatrix::setStorage().

Referenced by New().

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LAP_DoubleFullGeneralMatrix::LAP_DoubleFullGeneralMatrix	(	const tLVectorIndex &	n,
		const tLVectorIndex &	m
	)

build a matrix

References LAP_DoubleFullStorage::New(), null, setSize(), and LAP_DoubleMatrix::setStorage().

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LAP_DoubleFullGeneralMatrix::LAP_DoubleFullGeneralMatrix ( const LAP_DoubleFullGeneralMatrix & mat )

build a matrix

References LAP_DoubleMatrix::copy(), LAP_DoubleFullStorage::New(), null, and LAP_DoubleMatrix::setStorage().

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LAP_DoubleFullGeneralMatrix::~LAP_DoubleFullGeneralMatrix ( )

virtual

destroy a matrix

References null.

Member Function Documentation

void LAP_DoubleMatrix::add	(	const tLVectorIndex &	i,
		const tLVectorIndex &	j,
		const double &	v
	)

inlineinherited

add v to the view term (i,j) of the matrix

Parameters

i	: row of the element
j	column of the element
v	value to add

void LAP_DoubleFullGeneralMatrix::add	(	const double &	alpha,
		const LAP_DoubleFullGeneralMatrix &	x
	)

This+=alpha.x.

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), tLVectorIncrement, and tLVectorIndex.

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void LAP_DoubleMatrix::addDiagonal ( const double & alpha )

inlineinherited

This +=alpha.I.

Referenced by MATH_StiefelOptimizer::minimize().

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pair<tLVectorIndex,tLVectorIndex> LAP_DoubleMatrix::computeBandsNumber ( ) const

inlineinherited

virtual tBoolean LAP_DoubleFullGeneralMatrix::computeEigenValueDecomposition ( LAP_DoubleVector & U )

inlinevirtual

compute the eigen values decomposition on this: A is destroyed such that it contains the eigen vectors this is modified to store the eigen vectors

Parameters

U	the eigen values

References LAP_DoubleMatrix::copy(), and tBoolean.

Referenced by computeEigenValueDecomposition().

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virtual tBoolean LAP_DoubleFullGeneralMatrix::computeEigenValueDecomposition	(	LAP_DoubleVector &	U,
		LAP_DoubleMatrix &	VR
	)		const

inlinevirtual

compute the eigen values decomposition on A: A is copied

Parameters

U	the eigen values
VR	the eigen vectors

References computeEigenValueDecomposition(), and null.

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tBoolean LAP_DoubleFullGeneralMatrix::computeEigenValueDecomposition	(	LAP_DoubleFullGeneralMatrix &	A,
		LAP_DoubleVector &	U,
		LAP_DoubleFullGeneralMatrix &	VR
	)

static

compute the eigen elements of A A is supposed to be non symmetric: A is destroyed

References DoubleFullMatrixEigenValues(), getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), lapack_int, setSize(), LAP_Vector< T >::setSize(), tLVectorIndex, CORE_String::toString(), and tString.

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tBoolean LAP_DoubleFullGeneralMatrix::computeEigenValues	(	LAP_DoubleFullGeneralMatrix &	A,
		LAP_DoubleVector &	U
	)

static

compute the eigen values of A and A is destroyed after method

References DoubleFullMatrixEigenValues(), getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), lapack_int, null, LAP_Vector< T >::resetView(), LAP_Vector< T >::setSize(), tLVectorIndex, CORE_String::toString(), and tString.

Referenced by computeEigenValues().

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virtual tBoolean LAP_DoubleFullGeneralMatrix::computeEigenValues ( LAP_DoubleVector & U ) const

inlinevirtual

compute the eigen values of This: A is copied

Implements LAP_DoubleMatrix.

References computeEigenValues().

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void LAP_DoubleFullGeneralMatrix::concat	(	const double &	alpha,
		const LAP_DoubleFullGeneralMatrix &	X,
		const double &	beta,
		const LAP_DoubleFullGeneralMatrix &	Y
	)

inline

concat This-> [alpha X, beta Y] add the colmuns of Y to the columns of X to becomes A

References LAP_Matrix::COL, LAP_DoubleFullStorage::concat(), LAP_Matrix::getSize(), LAP_Matrix::ROW, and setSize().

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virtual tBoolean LAP_Matrix::copy ( const LAP_Matrix & matrix )

inlinevirtualinherited

copy operator

Parameters

m	matrix to copy

Returns: false if the allocation failed

References LAP_Matrix::COL, LAP_Matrix::getSize(), and LAP_Matrix::ROW.

Referenced by LAP_DoubleMatrix::copy().

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tBoolean LAP_DoubleMatrix::copy ( const LAP_DoubleMatrix & x )

virtualinherited

copy a matrix

Parameters

x	the matrix to copy

References LAP_Matrix::copy(), LAP_DoubleMatrixStorage::copy(), LAP_DoubleMatrix::getStorage(), LAP_DoubleMatrix::isSymmetric(), isTransposed(), LAP_DoubleMatrix::isUpper(), null, and tBoolean.

Referenced by LAP_DoubleBandedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullUpperMatrix::computeEigenValueDecomposition(), computeEigenValueDecomposition(), LAP_DoublePackedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleMatrix::copy(), MMSD_DoubleSymmetricMatrix::copy(), LAP_DoubleBandedSymmetricMatrix::LAP_DoubleBandedSymmetricMatrix(), LAP_DoubleBandedUpperMatrix::LAP_DoubleBandedUpperMatrix(), LAP_DoubleFullGeneralMatrix(), LAP_DoubleFullSymmetricMatrix::LAP_DoubleFullSymmetricMatrix(), LAP_DoubleFullUpperMatrix::LAP_DoubleFullUpperMatrix(), LAP_DoublePackedSymmetricMatrix::LAP_DoublePackedSymmetricMatrix(), LAP_DoublePackedUpperMatrix::LAP_DoublePackedUpperMatrix(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), matrixProduct(), MATH_StiefelOptimizer::minimize(), LAP_DoubleBandedUpperMatrix::operator=(), LAP_DoubleBandedSymmetricMatrix::operator=(), LAP_DoublePackedSymmetricMatrix::operator=(), LAP_DoubleFullUpperMatrix::operator=(), LAP_DoubleFullSymmetricMatrix::operator=(), operator=(), LAP_DoublePackedUpperMatrix::operator=(), and solve().

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tBoolean LAP_DoubleMatrix::copy ( SPC::LAP_DoubleMatrix x )

inlineinherited

copy a matrix

Parameters

x	the matrix to copy

References LAP_DoubleMatrix::copy(), and null.

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tBoolean LAP_DoubleMatrix::copy ( LAP_DoubleMatrix * x )

inlineinherited

copy a matrix

Parameters

x	the matrix to copy

References LAP_DoubleMatrix::copy(), and null.

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double LAP_DoubleMatrix::get	(	const tLVectorIndex &	i,
		const tLVectorIndex &	j
	)		const

inlineinherited

get the value taking into account the view

Referenced by MMSD_DataSet::getProperties(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullSymmetricMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), matrixProduct(), testEigenFunction(), testOptimize(), testOptimizerGProject1(), testOptimizerGProject2(), and testOptimizerHInverse().

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static tString CORE_Object::getClassName ( const tString & identityString )

inlinestaticinherited

return the class name of the object using only the identity string

Referenced by UI_Class::createVector2D(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), and CORE_Object::printObjectsInMemory().

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tString CORE_Object::getClassName ( ) const

inherited

return the class name of the object

Returns: the class name of the object

References tString.

Referenced by CORE_Object::getIdentityString().

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void LAP_DoubleFullGeneralMatrix::getColumn	(	const tLVectorIndex &	j,
		LAP_DoubleVector &	v
	)		const

virtual

get the viewed j-th column in a vector

Implements LAP_DoubleMatrix.

References getColumnsNumber(), getRowIncrement(), getRowsNumber(), LAP_Vector< T >::resetView(), LAP_Vector< T >::setSize(), tLVectorIncrement, and tLVectorIndex.

Referenced by getColumn().

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virtual void LAP_DoubleFullGeneralMatrix::getColumn	(	const tLVectorIndex &	j,
		SP::LAP_DoubleVector	v
	)		const

inlinevirtual

get the viewed j-th column in a vector

Reimplemented from LAP_DoubleMatrix.

References ASSERT_IN, getColumn(), and null.

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void LAP_DoubleFullGeneralMatrix::getColumnByReference	(	const tLVectorIndex &	j,
		LAP_DoubleVector &	v
	)

inline

get the column by reference the values of v pointer to the values of the column j of this

References LAP_DoubleFullStorage::getColumnByReference().

Referenced by MMSD_DoubleFullMatrix::computeCovarianceMatrix(), MATH_EigenFunction::computeFunction(), MMSD_StiefelFunction::computeFunction(), MMSD_GaussianCluster::computeMultivariateDensity(), MMSD_Model::computeSampleClusterIndices(), MMSD_Model::computeSampleClusterProbabilities(), MMSD_Model::esperanceEvaluation(), MMSD_Model::esperanceMaximization(), MMSD_Model::restore(), MMSD_GaussianLaw::updateMean(), and MMSD_GaussianCluster::updateWeights().

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void LAP_DoubleFullGeneralMatrix::getColumnByReference	(	const tLVectorIndex &	j,
		LAP_ConstDoubleVector &	v
	)		const

inline

get the column by reference the values of v pointer to the values of the column j of this

References LAP_DoubleFullStorage::getColumnByReference().

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virtual tLVectorIndex LAP_DoubleFullGeneralMatrix::getColumnsNumber ( ) const

inlinevirtual

get the columns number of the matrix from view

Reimplemented from LAP_Matrix.

References LAP_DoubleFullStorage::getViewedColumnsNumber().

Referenced by add(), MMSD_DoubleFullMatrix::computeCovarianceMatrix(), computeEigenValueDecomposition(), computeEigenValues(), MATH_EigenFunction::computeFunction(), MMSD_GaussianCluster::computeMultivariateDensity(), LAP_DoublePackedUpperMatrix::copyLower(), LAP_DoubleBandedUpperMatrix::copyLower(), LAP_DoubleFullUpperMatrix::copyLower(), getColumn(), getRow(), indexMin(), MMSD_FluryGautschiGaussianLaw::initialize(), MMSD_Law::initialize(), MMSD_Cluster::initialize(), inverse(), lowerTest(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleFullSymmetricMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), max(), MATH_StiefelOptimizer::minimize(), norm2(), LAP_DoubleBandedSymmetricMatrix::rankSymmetricProduct(), LAP_DoublePackedSymmetricMatrix::rankSymmetricProduct(), LAP_DoubleFullSymmetricMatrix::rankSymmetricProduct(), MMSD_FluryGautschiGaussianLaw::restore(), MMSD_Law::saveToUIClass(), MMSD_Cluster::saveToUIClass(), LAP_DoublePackedUpperMatrix::solve(), LAP_DoubleBandedUpperMatrix::solve(), LAP_DoubleFullUpperMatrix::solve(), solve(), sum(), symmetricTest(), testEigenFunction(), testGaussianLaw11N(), testGaussianLaw1PN(), testGaussianLaw2PN(), testOptimize(), testOptimizerGProject1(), testOptimizerGProject2(), testOptimizerHInverse(), testStiefelFunction(), testStiefelGaussianLawFunction(), transpose(), MMSD_GaussianLaw::updateMean(), MMSD_GaussianCluster::updateWeights(), upperTest(), and vectorProduct().

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double LAP_DoubleMatrix::getFillRate ( ) const

inlineinherited

get the fill rate of the matrix

tString CORE_Object::getIdentityString ( ) const

inlineinherited

return the identity string of the object of the form className_at_address

Returns: the identity string of the object

References CORE_Object::getClassName(), CORE_Object::pointer2String(), and tString.

Referenced by UI_Class::createPrimitiveMap(), UI_Class::saveAssociation(), UI_Class::saveClass(), UI_ClassFactory::saveIntoClass(), MATH_StiefelFunction::toString(), LAP_2DView::toString(), CORE_Object::toString(), MATH_StiefelOptimizer::toString(), and MM_Class::toString().

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tLVectorIndex LAP_DoubleFullGeneralMatrix::getLeadingDimension ( ) const

inline

get the memory distance between (*this)(i,j) & (*this)(i,j+1)

References LAP_DoubleFullStorage::getLeadingDimension().

Referenced by add(), LAP_DoubleBandedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullUpperMatrix::computeEigenValueDecomposition(), computeEigenValueDecomposition(), LAP_DoublePackedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullSymmetricMatrix::computeEigenValueDecomposition(), computeEigenValues(), LAP_DoublePackedUpperMatrix::copyLower(), LAP_DoubleBandedUpperMatrix::copyLower(), LAP_DoubleFullUpperMatrix::copyLower(), getRow(), indexMin(), inverse(), lowerTest(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullSymmetricMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), max(), LAP_DoubleBandedSymmetricMatrix::rankSymmetricProduct(), LAP_DoublePackedSymmetricMatrix::rankSymmetricProduct(), LAP_DoubleFullSymmetricMatrix::rankSymmetricProduct(), LAP_DoublePackedUpperMatrix::solve(), LAP_DoubleBandedUpperMatrix::solve(), LAP_DoubleFullUpperMatrix::solve(), solve(), sum(), symmetricTest(), transpose(), upperTest(), and vectorProduct().

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double& LAP_Object::getNullValue ( )

inlineinherited

get a null value

Referenced by LAP_DoubleBandedStorage::operator()(), LAP_DoubleBandedUpperMatrix::operator()(), LAP_DoublePackedUpperMatrix::operator()(), and LAP_DoubleFullUpperMatrix::operator()().

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const double& LAP_Object::getNullValue ( ) const

inlineinherited

get a const null value

tLVectorIndex LAP_DoubleMatrix::getNullValuesNumber ( ) const

inlineinherited

get the number of null values

static ostream& CORE_Object::getOutput ( )

inlinestaticinherited

get output

tString CORE_Object::getPointerAddress ( ) const

inlineinherited

return the identity string of the object

Returns: the identity string of the object

References CORE_Object::pointer2String().

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virtual void LAP_DoubleFullGeneralMatrix::getRow	(	const tLVectorIndex &	i,
		SP::LAP_DoubleVector	v
	)		const

inlinevirtual

get the i-th viewed row in a vector

Reimplemented from LAP_DoubleMatrix.

References null.

void LAP_DoubleFullGeneralMatrix::getRow	(	const tLVectorIndex &	i,
		LAP_DoubleVector &	v
	)		const

virtual

get the i-th viewed row in a vector

Implements LAP_DoubleMatrix.

References getColumnsNumber(), getLeadingDimension(), getRowsNumber(), LAP_Vector< T >::resetView(), LAP_Vector< T >::setSize(), and tLVectorIndex.

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void LAP_DoubleFullGeneralMatrix::getRowByReference	(	const tLVectorIndex &	i,
		LAP_DoubleVector &	v
	)

inline

get the row by reference the values of v pointer to the values of the column j of this

References LAP_DoubleFullStorage::getRowByReference().

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void LAP_DoubleFullGeneralMatrix::getRowByReference	(	const tLVectorIndex &	i,
		LAP_ConstDoubleVector &	v
	)		const

inline

get the row by reference the values of v pointer to the values of the column j of this

References LAP_DoubleFullStorage::getRowByReference().

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tLVectorIncrement LAP_DoubleFullGeneralMatrix::getRowIncrement ( ) const

inline

get the memory distance between (*this)(i,j) & (*this)(i+1,j)

References LAP_DoubleFullStorage::getRowIncrement().

Referenced by add(), computeEigenValueDecomposition(), computeEigenValues(), LAP_DoublePackedUpperMatrix::copyLower(), LAP_DoubleBandedUpperMatrix::copyLower(), LAP_DoubleFullUpperMatrix::copyLower(), getColumn(), indexMin(), lowerTest(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), max(), LAP_DoubleBandedSymmetricMatrix::rankSymmetricProduct(), LAP_DoublePackedSymmetricMatrix::rankSymmetricProduct(), LAP_DoubleFullSymmetricMatrix::rankSymmetricProduct(), sum(), symmetricTest(), transpose(), upperTest(), and vectorProduct().

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virtual tLVectorIndex LAP_DoubleFullGeneralMatrix::getRowsNumber ( ) const

inlinevirtual

get the lines number of the matrix from view

Reimplemented from LAP_Matrix.

References LAP_DoubleFullStorage::getViewedRowsNumber().

Referenced by add(), MMSD_DoubleFullMatrix::computeCovarianceMatrix(), computeEigenValueDecomposition(), computeEigenValues(), MMSD_StiefelFunction::computeFunction(), MMSD_GaussianCluster::computeMultivariateDensity(), MMSD_Model::computeSampleClusterIndices(), MMSD_Model::computeSampleClusterProbabilities(), LAP_DoublePackedUpperMatrix::copyLower(), LAP_DoubleBandedUpperMatrix::copyLower(), LAP_DoubleFullUpperMatrix::copyLower(), getColumn(), getRow(), indexMin(), MMSD_Law::initialize(), MMSD_Cluster::initialize(), inverse(), lowerTest(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullSymmetricMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), max(), MATH_StiefelOptimizer::minimize(), norm2(), LAP_DoubleBandedSymmetricMatrix::rankSymmetricProduct(), LAP_DoublePackedSymmetricMatrix::rankSymmetricProduct(), LAP_DoubleFullSymmetricMatrix::rankSymmetricProduct(), MMSD_Model::restore(), MMSD_Law::saveToUIClass(), MMSD_Cluster::saveToUIClass(), LAP_DoublePackedUpperMatrix::solve(), LAP_DoubleBandedUpperMatrix::solve(), LAP_DoubleFullUpperMatrix::solve(), solve(), sum(), symmetricTest(), testEigenFunction(), testGaussianLaw11N(), testGaussianLaw1PN(), testGaussianLaw2PN(), testOptimize(), testOptimizerGProject1(), testOptimizerGProject2(), testOptimizerHInverse(), testStiefelFunction(), testStiefelGaussianLawFunction(), transpose(), upperTest(), and vectorProduct().

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void CORE_Object::getSharedPointer ( SP::CORE_Object & p )

inlineinherited

get the shared pointer of this class into p

Referenced by CORE_Map< Key, Value >::getSharedPointer(), CORE_Array< tFlag >::getSharedPointer(), LAP_ConstVector< lapack_real >::getSharedPointer(), STAT_Combinatorial< T >::getSharedPointer(), LAP_Vector< lapack_int >::getSharedPointer(), CORE_Vector< T >::getSharedPointer(), CORE_Matrix< T >::getSharedPointer(), and CORE_Object::printObjectsInMemory().

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void CORE_Object::getSharedPointer ( SPC::CORE_Object & p ) const

inlineinherited

get the shared pointer of this class into p

const tLVectorIndex& LAP_Matrix::getSize ( const tFlag & direction ) const

inlineinherited

get the size in direction

Referenced by concat(), LAP_Matrix::copy(), LAP_Matrix::getColumnsNumber(), LAP_Matrix::getRowsNumber(), MMSD_DoubleSymmetricMatrix::getSize(), LAP_DoubleFullSymmetricMatrix::indexMin(), LAP_DoubleFullUpperMatrix::indexMin(), indexMin(), removeColumn(), and solve().

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LAP_DoubleMatrixStorage& LAP_DoubleMatrix::getStorage ( )

inlineinherited

set the storage

References null.

Referenced by LAP_DoubleFullSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleMatrix::copy(), LAP_DoubleBandedUpperMatrix::getBandedStorage(), LAP_DoubleBandedSymmetricMatrix::getBandedStorage(), LAP_DoubleFullSymmetricMatrix::getFullStorage(), LAP_DoublePackedSymmetricMatrix::getPackedStorage(), MMSD_DoubleSymmetricMatrix::getValues(), LAP_DoubleMatrix::init(), MMSD_Cluster::initialize(), MATH_StiefelOptimizer::minimize(), LAP_DoubleBandedUpperMatrix::operator=(), LAP_DoubleBandedSymmetricMatrix::operator=(), LAP_DoublePackedSymmetricMatrix::operator=(), LAP_DoubleFullUpperMatrix::operator=(), LAP_DoubleFullSymmetricMatrix::operator=(), operator=(), LAP_DoublePackedUpperMatrix::operator=(), LAP_DoubleMatrix::operator[](), MMSD_Law::saveToUIClass(), MMSD_Cluster::saveToUIClass(), MMSD_Model::saveToUIClass(), LAP_DoubleBandedSymmetricMatrix::setSize(), LAP_DoubleBandedUpperMatrix::setSize(), LAP_DoublePackedUpperMatrix::setSize(), LAP_DoublePackedSymmetricMatrix::setSize(), LAP_DoublePackedUpperMatrix::setValues(), LAP_DoublePackedSymmetricMatrix::setValues(), LAP_DoubleBandedSymmetricMatrix::setValues(), LAP_DoubleBandedUpperMatrix::setValues(), testGaussianLaw11N(), testGaussianLaw1PN(), testStiefelGaussianLawFunction(), LAP_DoubleMatrix::trace(), MMSD_ConstraintGaussianCluster::updateFreedomDegrees(), and MMSD_GaussianCluster::updateFreedomDegrees().

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const LAP_DoubleMatrixStorage& LAP_DoubleMatrix::getStorage ( ) const

inlineinherited

set the storage

References null.

template<class T >

static tString CORE_Object::getTypeName ( )

inlinestaticinherited

get type name

References tString.

tLVectorIndex LAP_DoubleMatrix::getValuesNumber ( ) const

inlineinherited

get the number of values

Referenced by MMSD_DoubleSymmetricMatrix::getValuesNumber(), and MMSD_Model::saveToUIClass().

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static SP::LAP_DoubleFullGeneralMatrix LAP_DoubleFullGeneralMatrix::Identity ( const tLVectorIndex & nRows )

inlinestatic

create an identity matrix

References New(), and tLVectorIndex.

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void LAP_DoubleFullGeneralMatrix::indexMin	(	tLVectorIndex &	i,
		tLVectorIndex &	j
	)		const

get the index of the min view element in absolute value

Parameters

i	return the row index of the min element
j	return the column index of the min element

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), LAP_Matrix::getSize(), LAP_DoubleFullStorage::getStart(), REAL_INFINITY, LAP_Matrix::ROW, tLVectorIncrement, tLVectorIndex, and tReal.

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void LAP_DoubleMatrix::init ( const double v )

inlineinherited

init the values to v

Parameters

v	init value

References LAP_DoubleMatrix::getStorage(), and LAP_DoubleMatrixStorage::init().

Referenced by MMSD_DoubleFullMatrix::operator=().

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tBoolean LAP_DoubleFullGeneralMatrix::inverse ( )

virtual

inverse the matrix

Returns: true if succeeds

References DoubleFullMatrixInverse(), getColumnsNumber(), getLeadingDimension(), getRowsNumber(), null, tBoolean, tLVectorIndex, CORE_String::toString(), and tString.

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static tBoolean CORE_Object::is32Architecture ( )

inlinestaticinherited

return true if the machine is a 32 bits machine

References CORE_Object::is64Architecture().

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tBoolean CORE_Object::is64Architecture ( )

staticinherited

return true if the machine is a 64 bits machine

Referenced by CORE_Object::is32Architecture().

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template<class T >

tBoolean CORE_Object::isInstanceOf ( ) const

inlineinherited

return true if the object is an instance of T

References null.

tBoolean LAP_Object::isNullValue ( const double & v ) const

inlineinherited

return true if the value is a null

virtual tBoolean LAP_DoubleGeneralMatrix::isSymmetric ( ) const

inlinevirtualinherited

return true if the matrix is symmetric

Implements LAP_DoubleMatrix.

tBoolean LAP_DoubleFullGeneralMatrix::isTransposed ( ) const

inline

return the transposed

Referenced by LAP_DoubleMatrix::copy().

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virtual tBoolean LAP_DoubleGeneralMatrix::isUpper ( ) const

inlinevirtualinherited

return true if the matrix is upper

Implements LAP_DoubleMatrix.

tBoolean LAP_DoubleFullGeneralMatrix::lowerTest ( ) const

inline

test if the matrix is symmetric with epsilon difference

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), tLVectorIncrement, tLVectorIndex, and LAP_Object::ZERO_EPSILON.

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tBoolean LAP_DoubleFullGeneralMatrix::LUSolve	(	const tBoolean &	isTr,
		LAP_DoubleFullGeneralMatrix &	X
	)

inline

solve op(This).X=B where K is the number of colums of B

Parameters

isTr	: if isTr is true then op(A)=t , op(A)=A otherwise
B	: general full matrix of size N x K in output B is modified such as it is the X solution of size N x K

This is LU factorize, theb solve the equation

References solve().

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virtual SP::LAP_DoubleMatrix LAP_DoubleFullGeneralMatrix::matrixProduct ( const LAP_DoubleMatrix & B ) const

inlinevirtual

return C= This.B

Parameters

B	the matrix to multiply

Returns: a general full matrix corresponding to This.B

Implements LAP_DoubleMatrix.

References LAP_DoubleMatrix::get(), and New().

Referenced by MMSD_StiefelFunction::computeFunction(), MMSD_Law::initialize(), matrixProduct(), MATH_StiefelOptimizer::minimize(), MMSD_Law::restore(), testGaussianLaw11N(), testGaussianLaw1PN(), testGaussianLaw2PN(), testStiefelGaussianLawFunction(), and MMSD_StiefelGaussianLaw::updateCovarianceDecompositionMatrix().

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tBoolean LAP_DoubleFullGeneralMatrix::matrixProduct	(	const LAP_DoubleMatrix &	B,
		LAP_DoubleFullGeneralMatrix &	C
	)		const

general return C=(This) . B

Parameters

B	the matrix to multiply
C	th output general full matrix C=This.B

Returns: false if the product can not be done B must be a full matrix

References LAP_DoubleMatrix::copy(), LAP_DoubleSymmetricMatrix::matrixProduct(), LAP_DoubleUpperMatrix::matrixProduct(), matrixProduct(), and null.

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void LAP_DoubleFullGeneralMatrix::matrixProduct	(	const LAP_DoubleFullGeneralMatrix &	B,
		LAP_DoubleFullGeneralMatrix &	C
	)		const

inline

make the product : C:=This. B

Parameters

B	: general full matrix C : output product matrix

References matrixProduct().

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void LAP_DoubleFullGeneralMatrix::matrixProduct	(	const tBoolean &	isLeftSide,
		const tBoolean &	isTrans,
		const LAP_DoubleFullGeneralMatrix &	B,
		const double &	alpha,
		LAP_DoubleFullGeneralMatrix &	C
	)		const

inline

make the product : C:=op(This).B (leftSide=true) C:=B. op(This) (leftSide=false)

Parameters

isLeftSide	: the left or right B-multiplication
isTrans	define the operator op(X)=X or op(X)=tX
B	: general full matrix C : output product matrix

References getColumnsNumber(), getRowsNumber(), matrixProduct(), setSize(), and tLVectorIndex.

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static void LAP_DoubleFullGeneralMatrix::matrixProduct	(	const tBoolean &	isTrA,
		const LAP_DoubleFullGeneralMatrix &	A,
		const tBoolean &	isTrB,
		const LAP_DoubleFullGeneralMatrix &	B,
		const lapack_real &	alpha,
		const lapack_real &	beta,
		LAP_DoubleFullGeneralMatrix &	C
	)

inlinestatic

make the product C = alpha. op(A).op(B) +beta C

Parameters

A	: general full matrix
B	: general full matrix
isTrA	define op(A)
isTrB	define op(B)
alpha	alpha value
beta	beta value C : output product matrix

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), matrixProduct(), and tLVectorIndex.

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void LAP_DoubleFullGeneralMatrix::matrixProduct	(	const tBoolean &	isTrA,
		const tLVectorIndex &	nRowsA,
		const tLVectorIndex &	nColsA,
		const tLVectorIndex &	ldA,
		const double *	A,
		const tBoolean &	isTrB,
		const tLVectorIndex &	nRowsB,
		const tLVectorIndex &	nColsB,
		const tLVectorIndex &	ldB,
		const double *	B,
		const lapack_real &	alpha,
		const lapack_real &	beta,
		LAP_DoubleFullGeneralMatrix &	C
	)

static

make the product of 2 full matrix (general, upper,symmetric) C = alpha. op(A).op(B) +beta C with op(T)=tT or op(T)=T

Parameters

nRowsA	: number of rows of the full matrix A
nColsA	: number of columns of the full matrix A
ldA	: A(i,j+1)-A(i,j) distance
A	: values of the matrix
nRowsB	: number of rows of the full matrix B
nColsB	: number of columns of the full matrix B
ldB	: B(i,j+1)-B(i,j) distance
B	: values of the matrix
isTrA	define op(A)
isTrB	define op(B)
alpha	alpha value
beta	beta value C : output product matrix

References DoubleFullMatrixMatrixProduct(), getColumnsNumber(), getLeadingDimension(), getRowsNumber(), setSize(), and tLVectorIndex.

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tReal LAP_DoubleFullGeneralMatrix::max	(	const tFlag &	d,
		const tLVectorIndex &	index
	)		const

virtual

make get max among the direction if (d==ROW) max of all the columns of row index if (d==COL) max of all the rows of column at index

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), null, REAL_INFINITY, LAP_Matrix::ROW, tLVectorIncrement, tLVectorIndex, and tReal.

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static SP::LAP_DoubleFullGeneralMatrix LAP_DoubleFullGeneralMatrix::New ( )

inlinestatic

References LAP_DoubleFullGeneralMatrix().

Referenced by Identity(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullSymmetricMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), matrixProduct(), NewInstance(), testEigenFunction(), testOptimize(), testOptimizerGProject1(), testOptimizerGProject2(), and testOptimizerHInverse().

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static SP::LAP_DoubleFullGeneralMatrix LAP_DoubleFullGeneralMatrix::New	(	const int &	n,
		const int &	m
	)

inlinestatic

References LAP_DoubleFullGeneralMatrix().

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static SP::LAP_DoubleFullGeneralMatrix LAP_DoubleFullGeneralMatrix::New	(	const tLVectorIndex &	n,
		const tLVectorIndex &	m
	)

inlinestatic

References LAP_DoubleFullGeneralMatrix().

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virtual SP::LAP_DoubleMatrix LAP_DoubleFullGeneralMatrix::NewInstance ( ) const

inlinevirtual

create a New instance of this

Implements LAP_DoubleMatrix.

References New().

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tReal LAP_DoubleFullGeneralMatrix::norm2 ( ) const

virtual

return norm2 sqrt(sum_ij(aij^2))=sqrt(tr(AtA));

Implements LAP_DoubleMatrix.

References LAP_DoubleFullStorage::getColumnByReference(), getColumnsNumber(), LAP_ConstDoubleVector::norm2(), sum(), and tLVectorIndex.

Referenced by MATH_StiefelOptimizer::minimize(), and testStiefelGaussianLawFunction().

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tReal LAP_DoubleFullGeneralMatrix::norm2 ( LAP_DoubleVector & v ) const

virtual

return norm2 of the matrix and for each row;

Implements LAP_DoubleMatrix.

References LAP_DoubleFullStorage::getRowByReference(), getRowsNumber(), LAP_ConstDoubleVector::norm2(), LAP_Vector< T >::resetView(), LAP_Vector< T >::setSize(), sum(), and tLVectorIndex.

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virtual double& LAP_DoubleFullGeneralMatrix::operator()	(	const tLVectorIndex &	i,
		const tLVectorIndex &	j
	)

inlinevirtual

accessor of element at row i and column j taking into account the row

Implements LAP_DoubleMatrix.

virtual const double& LAP_DoubleFullGeneralMatrix::operator()	(	const tLVectorIndex &	i,
		const tLVectorIndex &	j
	)		const

inlinevirtual

accessor of element at row i and column j

Implements LAP_DoubleMatrix.

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator*= ( const lapack_real & s )

inline

multiply by s the matrix

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator*= ( const LAP_DoubleFullGeneralMatrix & s )

inline

multiply the viewed matrices term by term

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator+= ( const lapack_real & s )

inline

add s to the upper matrix

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator+= ( const LAP_DoubleFullGeneralMatrix & s )

inline

add the viewed matrix

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator-= ( const lapack_real & s )

inline

sub s to the upper matrix

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator-= ( const LAP_DoubleFullGeneralMatrix & s )

inline

sub the viewed matrix

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator/= ( const lapack_real & s )

inline

divide by s the matrix v

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator/= ( const LAP_DoubleFullGeneralMatrix & s )

inline

divide the viewed matrices term by term

LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator= ( const double & s )

inline

init all the matrix to s

References LAP_DoubleMatrix::getStorage(), and LAP_DoubleMatrixStorage::init().

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LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator= ( const LAP_DoubleFullGeneralMatrix & s )

inline

init all the matrix to s

References LAP_DoubleMatrix::copy().

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const double& LAP_DoubleMatrix::operator[] ( const tLVectorIndex & index ) const

inlineinherited

get the element at index

Parameters

index index of the element in [0,getStorage().getValuesNumber()[ return the value of the element at index for reading

References LAP_DoubleMatrix::getStorage().

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double& LAP_DoubleMatrix::operator[] ( const tLVectorIndex & index )

inlineinherited

get the element at index

Parameters

index index of the element in [0,getValuesNumber()[ return the value of the element at index for writing

References LAP_DoubleMatrix::getStorage().

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LAP_DoubleFullGeneralMatrix& LAP_DoubleFullGeneralMatrix::operator^= ( const lapack_real & s )

inline

power by s the matrix v

void LAP_DoubleFullGeneralMatrix::orthogonalize ( )

inline

Referenced by MATH_StiefelOptimizer::minimize(), testOptimize(), testOptimizerGProject1(), testOptimizerGProject2(), and testOptimizerHInverse().

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void LAP_DoubleFullGeneralMatrix::orthogonalize ( const tFlag & m )

inline

void CORE_Object::outputPrint ( const tString & message )

staticinherited

print on output

References null, and CORE_Object::print().

Referenced by CORE_Exception::CORE_Exception().

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tString CORE_Object::pointer2String ( const void * obj )

staticinherited

return the string represantation of a pointer

References tString.

Referenced by CORE_Object::CORE_Object(), CORE_Object::getIdentityString(), CORE_Object::getPointerAddress(), and CORE_Object::~CORE_Object().

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virtual void CORE_Object::print ( )

inlinevirtualinherited

print the class

References CORE_Object::toString().

Referenced by CORE_Object::outputPrint(), CORE_Out::print(), CORE_Object::print(), CORE_Out::printInt(), CORE_Out::println(), CORE_Out::printReal(), CORE_Out::printString(), and CORE_Out::setAction().

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virtual ostream& CORE_Object::print ( ostream & out ) const

inlinevirtualinherited

print the class

References CORE_Object::print(), and CORE_Object::toString().

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void CORE_Object::print ( const tString & message )

virtualinherited

print the class

Reimplemented in CORE_Out.

References null, and CORE_Object::print().

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void CORE_Object::print ( const tInteger & str )

virtualinherited

print

References null.

void CORE_Object::print ( const tRelativeInteger & str )

virtualinherited

print

References null.

void CORE_Object::print ( const tReal & str )

virtualinherited

print

References null.

void CORE_Object::print ( const int & str )

virtualinherited

print

References null.

static ostream& CORE_Object::print	(	ostream &	out,
		const tString &	message
	)

inlinestaticinherited

print the class

void CORE_Object::printObjectsInMemory ( )

staticinherited

print object in memory

References CORE_Object::getClassName(), CORE_Object::getSharedPointer(), and CORE_Object::mIsMemoryTesting.

Referenced by main().

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void LAP_DoubleFullGeneralMatrix::removeColumn ( const tLVectorIndex & index )

remove column at index

References LAP_Matrix::COL, LAP_Matrix::getSize(), LAP_DoubleFullStorage::removeColumn(), LAP_Matrix::ROW, setSize(), and tLVectorIndex.

Referenced by MMSD_Model::esperanceEvaluation().

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void LAP_DoubleFullGeneralMatrix::reverseColumns ( )

inline

reverse the viewed columns of the matrix

References LAP_DoubleFullStorage::reverseColumns().

Referenced by MMSD_Law::initialize().

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void LAP_DoubleMatrix::set	(	const tLVectorIndex &	i,
		const tLVectorIndex &	j,
		const double &	v
	)

inlineinherited

set the value of the element at row i and column j

Parameters

i	: row of the element
j	column of the element
v	value to set

static void CORE_Object::setOutput ( ostream & out )

inlinestaticinherited

set output

virtual void LAP_DoubleFullGeneralMatrix::setSize	(	const tLVectorIndex &	n,
		const tLVectorIndex &	p
	)

inlinevirtual

set the dimension of the matrix and allocate the values array

Reimplemented from LAP_Matrix.

References LAP_Matrix::setSize(), LAP_DoubleFullStorage::setValuesNumber(), and tLVectorIndex.

Referenced by LAP_DoubleBandedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullUpperMatrix::computeEigenValueDecomposition(), computeEigenValueDecomposition(), LAP_DoublePackedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullSymmetricMatrix::computeEigenValueDecomposition(), MMSD_StiefelFunction::computeFunction(), computeIMatrix(), computeXMatrix(), concat(), MMSD_Law::initialize(), MMSD_Cluster::initialize(), MMSD_Model::initialize(), LAP_DoubleFullGeneralMatrix(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoubleFullSymmetricMatrix::matrixProduct(), matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), MMSD_DoubleSymmetricMatrix::product(), removeColumn(), MMSD_Model::restore(), setSize(), setValues(), testEigenFunction(), testOptimize(), testOptimizerGProject1(), testOptimizerGProject2(), testOptimizerHInverse(), testStiefelFunction(), testStiefelGaussianLawFunction(), and MMSD_GaussianCluster::updateWeights().

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virtual void LAP_DoubleFullGeneralMatrix::setSize ( const tLVectorIndex & n )

inlinevirtual

set the dimension of the matrix and alocate the values array

Reimplemented from LAP_Matrix.

References setSize().

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void LAP_DoubleMatrix::setStorage ( SP::LAP_DoubleMatrixStorage s )

inlineinherited

set the storage

Referenced by LAP_DoubleBandedSymmetricMatrix::LAP_DoubleBandedSymmetricMatrix(), LAP_DoubleBandedUpperMatrix::LAP_DoubleBandedUpperMatrix(), LAP_DoubleFullGeneralMatrix(), LAP_DoubleFullSymmetricMatrix::LAP_DoubleFullSymmetricMatrix(), LAP_DoubleFullUpperMatrix::LAP_DoubleFullUpperMatrix(), LAP_DoublePackedSymmetricMatrix::LAP_DoublePackedSymmetricMatrix(), and LAP_DoublePackedUpperMatrix::LAP_DoublePackedUpperMatrix().

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void CORE_Object::setThis ( SP::CORE_Object p )

inlineprotectedinherited

set this weak shared pointer called toDoAfterThis setting method

References CORE_Object::toDoAfterThisSetting().

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virtual void CORE_Object::setType ( tString type )

inlineprotectedvirtualinherited

set the type of the object

Referenced by LAP_IntegerVector::LAP_IntegerVector(), MATH_BetaFunction::MATH_BetaFunction(), MATH_C1Function::MATH_C1Function(), MATH_DigammaFunction::MATH_DigammaFunction(), MATH_EigenFunction::MATH_EigenFunction(), MATH_Equation::MATH_Equation(), MATH_Function::MATH_Function(), MATH_GammaFunction::MATH_GammaFunction(), MATH_KeplerFunction::MATH_KeplerFunction(), MATH_LogGammaFunction::MATH_LogGammaFunction(), MATH_NewtonEquation::MATH_NewtonEquation(), MATH_StiefelFunction::MATH_StiefelFunction(), MATH_StiefelOptimizer::MATH_StiefelOptimizer(), MATH_TranscendentEquation::MATH_TranscendentEquation(), MATH_TrigammaFunction::MATH_TrigammaFunction(), MATH_ZeroEquation::MATH_ZeroEquation(), MATH_ZKeplerFunction::MATH_ZKeplerFunction(), MM_Attribute::MM_Attribute(), MM_Class::MM_Class(), MM_ClassFactory::MM_ClassFactory(), MM_Data::MM_Data(), MM_Structure::MM_Structure(), MMSD_ClassFactory::MMSD_ClassFactory(), MMSD_Cluster::MMSD_Cluster(), MMSD_ConstDoubleVector::MMSD_ConstDoubleVector(), MMSD_ConstraintGaussianCluster::MMSD_ConstraintGaussianCluster(), MMSD_ConstraintGaussianModel::MMSD_ConstraintGaussianModel(), MMSD_DataSet::MMSD_DataSet(), MMSD_DataSetClassFactory::MMSD_DataSetClassFactory(), MMSD_DoubleFullMatrix::MMSD_DoubleFullMatrix(), MMSD_DoubleSymmetricMatrix::MMSD_DoubleSymmetricMatrix(), MMSD_DoubleVector::MMSD_DoubleVector(), MMSD_FluryGautschiGaussianLaw::MMSD_FluryGautschiGaussianLaw(), MMSD_GaussianCluster::MMSD_GaussianCluster(), MMSD_GaussianFDFunction::MMSD_GaussianFDFunction(), MMSD_GaussianLaw::MMSD_GaussianLaw(), MMSD_GaussianModel::MMSD_GaussianModel(), MMSD_Law::MMSD_Law(), MMSD_Model::MMSD_Model(), MMSD_ModelClassFactory::MMSD_ModelClassFactory(), MMSD_Object::MMSD_Object(), MMSD_StiefelFunction::MMSD_StiefelFunction(), MMSD_StiefelGaussianLaw::MMSD_StiefelGaussianLaw(), STAT_BernoulliDistribution::STAT_BernoulliDistribution(), STAT_BinomialDistribution::STAT_BinomialDistribution(), STAT_Combinatorial< T >::STAT_Combinatorial(), STAT_DiracDistribution::STAT_DiracDistribution(), STAT_Distribution::STAT_Distribution(), STAT_ExponentialDistribution::STAT_ExponentialDistribution(), STAT_GammaDistribution::STAT_GammaDistribution(), STAT_GeometricDistribution::STAT_GeometricDistribution(), STAT_InverseNormalDistribution::STAT_InverseNormalDistribution(), STAT_NormalDistribution::STAT_NormalDistribution(), STAT_Object::STAT_Object(), STAT_PoissonDistribution::STAT_PoissonDistribution(), STAT_UniformDistribution::STAT_UniformDistribution(), and STAT_UniformLaplaceTransform::STAT_UniformLaplaceTransform().

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virtual void LAP_DoubleFullGeneralMatrix::setValues	(	const tLVectorIndex &	n,
		const tLVectorIndex &	p,
		SP::LAP_DoubleVector	v
	)

inlinevirtual

set the values of the matrix to V without allocation the values array

Parameters

n	number of rows
p	number of columns
value	values ordered by columns

References LAP_Matrix::setSize(), LAP_DoubleFullStorage::setValuesPointer(), and tLVectorIndex.

Referenced by LAP_DoubleFullSymmetricMatrix::computeEigenValueDecomposition(), MMSD_Law::loadFromUIClass(), MMSD_Cluster::loadFromUIClass(), MMSD_Model::loadFromUIClass(), testCovariance(), testGaussianLaw11N(), testGaussianLaw1PN(), testGaussianLaw2PN(), and testStiefelGaussianLawFunction().

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virtual void LAP_DoubleFullGeneralMatrix::setValues ( SP::LAP_DoubleVector v )

inlinevirtual

set the values n is the size of values. the size of the matrix is sqrt(n)xsqrt(n)

Reimplemented from LAP_DoubleMatrix.

References LAP_Matrix::setSize(), LAP_DoubleFullStorage::setValuesPointer(), and tLVectorIndex.

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virtual void LAP_DoubleFullGeneralMatrix::setValues	(	const tLVectorIndex &	n,
		const tLVectorIndex &	p,
		const double *	values
	)

inlinevirtual

set the values

Parameters

n	number of rows
p	number of columns
values	values ordered by columns the number of values must be n*p

References setSize(), and LAP_DoubleFullStorage::setValues().

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virtual void LAP_DoubleFullGeneralMatrix::setValues	(	const tLVectorIndex &	n,
		const double *	values
	)

inlinevirtual

set the values n is the size of values. the size of the matrix is sqrt(n)xsqrt(n)

Reimplemented from LAP_DoubleMatrix.

References LAP_Matrix::setSize(), LAP_DoubleFullStorage::setValues(), and tLVectorIndex.

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tBoolean LAP_DoubleFullGeneralMatrix::solve	(	const tBoolean &	isTr,
		LAP_DoubleFullGeneralMatrix &	X
	)		const

inline

solve op(This).X=B where K is the number of colums of B

Parameters

isTr	: if isTr is true then op(A)=t , op(A)=A otherwise
B	: general full matrix of size N x K in output B is modified such as it is the X solution of size N x K

References LAP_DoubleMatrix::copy(), getColumnsNumber(), getRowsNumber(), lapack_int, tBoolean, and tLVectorIndex.

Referenced by LUSolve().

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tBoolean LAP_DoubleFullGeneralMatrix::solve	(	const LAP_DoubleFullGeneralMatrix &	A,
		const lapack_int *	ipiv,
		const tBoolean &	isTr,
		LAP_DoubleFullGeneralMatrix &	X
	)

static

solve op(This).X=B where K is the number of colums of B

Parameters

A	the full matrix LU factorized
ipiv	the pivot for each row given by LU factorization of A
isTr	: if isTr is true then op(A)=t , op(A)=A otherwise
B	: general full matrix of size N x K in output B is modified such as it is the X solution of size N x K

References LAP_Matrix::COL, DoubleFullMatrixSolveMatrixEquation(), getColumnsNumber(), getLeadingDimension(), getRowsNumber(), LAP_Matrix::getSize(), LAP_Matrix::ROW, tLVectorIndex, and tString.

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tReal LAP_DoubleFullGeneralMatrix::sum	(	const tFlag &	d,
		LAP_DoubleVector &	s
	)		const

virtual

make the sum among the direction if (d==ROW) sum all the columns of each row and size of s is the number of rows if (d==COL) sum all the rows of each column and size of s is the number of columns ^return the sum of all the element of the matrix

Implements LAP_DoubleMatrix.

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), null, LAP_Matrix::ROW, LAP_Vector< T >::setSize(), tLVectorIncrement, and tLVectorIndex.

Referenced by norm2().

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tReal LAP_DoubleFullGeneralMatrix::sum	(	const tFlag &	d,
		const tLVectorIndex &	index
	)		const

virtual

make the sum among the direction if (d==ROW) sum all the columns of row index if (d==COL) sum all the rows of coluln at index

Implements LAP_DoubleMatrix.

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), null, LAP_Matrix::ROW, tLVectorIncrement, tLVectorIndex, and tReal.

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void LAP_DoubleFullGeneralMatrix::swapColumns	(	const tLVectorIndex &	i,
		const tLVectorIndex &	j
	)

inline

swap the viewed columns i & j

References LAP_DoubleFullStorage::swapColumns().

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tBoolean LAP_DoubleFullGeneralMatrix::symmetricTest ( ) const

inline

test if the matrix is symmetric with epsilon difference

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), tLVectorIncrement, tLVectorIndex, and LAP_Object::ZERO_EPSILON.

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virtual void CORE_Object::toDoAfterThisSetting ( )

inlineprotectedvirtualinherited

method called after setThis() method this method can oly be called once.

Reimplemented in STAT_UniformLaplaceTransform.

Referenced by CORE_Object::setThis(), and STAT_UniformLaplaceTransform::toDoAfterThisSetting().

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tString LAP_DoubleMatrix::toString ( ) const

virtualinherited

print the matrix taking into account the view

Reimplemented from CORE_Object.

References LAP_Matrix::getColumnsNumber(), LAP_Matrix::getRowsNumber(), tLVectorIndex, CORE_String::toString(), and tString.

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double LAP_DoubleMatrix::trace ( ) const

inlineinherited

return trace

References LAP_DoubleMatrix::getStorage(), and LAP_DoubleMatrixStorage::trace().

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void LAP_DoubleFullGeneralMatrix::transpose ( )

transpose the matrix

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), tLVectorIncrement, and tLVectorIndex.

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tBoolean LAP_DoubleFullGeneralMatrix::upperTest ( ) const

inline

test if the matrix is upper

References getColumnsNumber(), getLeadingDimension(), getRowIncrement(), getRowsNumber(), tLVectorIncrement, tLVectorIndex, and LAP_Object::ZERO_EPSILON.

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virtual SP::LAP_DoubleVector LAP_DoubleMatrix::vectorProduct ( const LAP_DoubleVector & X ) const

inlinevirtualinherited

compute This. X

Parameters

X	input vector

Returns: This.X

References LAP_Vector< T >::get(), and LAP_DoubleVector::New().

Referenced by LAP_DoubleMatrix::vectorProduct(), LAP_DoublePackedSymmetricMatrix::vectorProduct(), LAP_DoubleBandedSymmetricMatrix::vectorProduct(), LAP_DoubleFullSymmetricMatrix::vectorProduct(), and vectorProduct().

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virtual void LAP_DoubleMatrix::vectorProduct	(	SPC::LAP_DoubleVector &	X,
		SP::LAP_DoubleVector &	Y
	)		const

inlinevirtualinherited

rcompute Y= This X

Parameters

X	input vector
Y	output vector

References null, and LAP_DoubleMatrix::vectorProduct().

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virtual void LAP_DoubleMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const LAP_DoubleVector &	X,
		LAP_DoubleVector &	Y
	)		const

inlinevirtualinherited

compute Y= op(This). X

Parameters

isTrans	: if (isTrans) op(A)=A else pop(A)=tA
X	: input vector
Y	: output vector

Reimplemented in LAP_DoubleFullUpperMatrix, and LAP_DoublePackedUpperMatrix.

References LAP_Matrix::getColumnsNumber(), LAP_Vector< T >::getIncrement(), LAP_Matrix::getRowsNumber(), LAP_Vector< T >::getSize(), LAP_Vector< T >::setSize(), tLVectorIndex, and LAP_DoubleMatrix::vectorProduct().

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virtual void LAP_DoubleMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const tLVectorIndex &	nX,
		const tLVectorIncrement &	incX,
		const double *	X,
		const double &	alpha,
		const double &	beta,
		const tLVectorIndex &	nY,
		const tLVectorIncrement &	incY,
		double *	Y
	)		const

pure virtualinherited

compute Y= beta Y + alpha op(This). X with op(A)=A or tA depending on isTrans value

Parameters

isTrans	: if (isTrans) op(A)=A else pop(A)=tA
nX	size of X
incX	increment of X (memory distance between X(i) & X(i+1)
X	X values of minimum size nX*incX
nY	size of Y
incY	increment of Y (memory distance between Y(i) & Y(i+1)
Y	Y values of minimum size nY*incY

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

virtual void LAP_DoubleFullGeneralMatrix::vectorProduct	(	const LAP_DoubleVector &	X,
		LAP_DoubleVector &	Y
	)		const

inlinevirtual

compute Y= This. X

Reimplemented from LAP_DoubleMatrix.

References LAP_DoubleMatrix::vectorProduct().

Referenced by vectorProduct().

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void LAP_DoubleFullGeneralMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const LAP_DoubleVector &	X,
		const lapack_real &	alpha,
		const lapack_real &	beta,
		LAP_DoubleVector &	Y
	)		const

inline

return Y=betaY+alpha.op(This).X

Parameters

isTrans	: if (isTrans) op(A)=A else pop(A)=tA
X	vector X of size number of cols of this
alpha	value of alpha
beta	: value of beta
Y	: vector Y of size number of rows of this

References getColumnsNumber(), LAP_Vector< T >::getIncrement(), getRowsNumber(), LAP_Vector< T >::getSize(), LAP_Vector< T >::setSize(), tLVectorIndex, and vectorProduct().

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void LAP_DoubleFullGeneralMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const LAP_ConstDoubleVector &	X,
		const lapack_real &	alpha,
		const lapack_real &	beta,
		LAP_DoubleVector &	Y
	)		const

inline

return Y=betaY+alpha.op(This).X

Parameters

isTrans	: if (isTrans) op(A)=A else pop(A)=tA
X	vector X of size number of cols of this
alpha	value of alpha
beta	: value of beta
Y	: vector Y of size number of rows of this

References getColumnsNumber(), LAP_ConstVector< T >::getIncrement(), LAP_Vector< T >::getIncrement(), getRowsNumber(), LAP_ConstVector< T >::getSize(), LAP_Vector< T >::getSize(), LAP_Vector< T >::setSize(), tLVectorIndex, and vectorProduct().

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virtual void LAP_DoubleFullGeneralMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const tLVectorIndex &	nx,
		const tLVectorIncrement &	incx,
		const double *	x,
		const lapack_real &	alpha,
		const lapack_real &	beta,
		const tLVectorIndex &	ny,
		const tLVectorIncrement &	incy,
		double *	y
	)		const

inlinevirtual

compute Y= betaY + alpha. op(This). X

Parameters

isTrans	if (isTrans) op(A)=tA else op(A)=A;
nX	size of X
incX	increment of X (memory distance between X(i) & X(i+1)
X	X values of minimum size nX*incX
alpha	alpha value
beta:beta	value
nY	size of Y
incY	increment of Y (memory distance between Y(i) & Y(i+1)
Y	Y values of minimum size nY*incY