this class describes a packed upper matrix for lapack used where values are stored in vector: {A(0,0) A(0,1) A(1,1) A(2,0),A(2,1) A(2,2) ....A(n,n)} This class describes a matrix More...

#include <LAP_DoublePackedUpperMatrix.h>

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

	LAP_DoublePackedUpperMatrix (const LAP_DoublePackedUpperMatrix &mat)
	build a matrix for equality operator in construction More...

virtual	~LAP_DoublePackedUpperMatrix ()
	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 view only use the upper diagonal More...

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

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

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

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

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

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

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

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

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

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

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

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

virtual tBoolean	copyLower (const LAP_DoubleFullGeneralMatrix &f)
	copy the transposed of the full matrix More...

virtual void	setSize (const tLVectorIndex &nRows, const tLVectorIndex &nCols)
	set the dimension of the matrix More...

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

virtual void	setValues (SP::LAP_DoubleVector values)
	set the values set the pointer values of the matrix to values the size of the vector is mBandsNumber*nCols More...

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

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

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

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

virtual void	getRow (const tLVectorIndex &i, SP::LAP_DoubleVector v) const
	get the i-th row in a vector 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 void	vectorProduct (const tBoolean &isTrans, LAP_DoubleVector &X) const
	compute X:=op(This).X More...

void	vectorProduct (const tBoolean &isTrans, const double &alpha, LAP_DoubleVector &X) const

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

void	vectorProduct (const tBoolean &isTrans, const tLVectorIndex &nX, const tLVectorIncrement &incX, double *X) const
	compute X:=op(A). X More...

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
	compute Y= beta. Y + alpha. op(A). X More...

virtual void	rankProduct (const tBoolean &isTransU, const LAP_DoubleVector &Diag, LAP_DoubleVector &X) const
	compute product $X:=op(U)^t \cdot Diag \cdot op(U) \cdot X$ More...

virtual void	rankProduct (const tBoolean &isTransU, LAP_DoubleVector &X) const
	compute product $X:=op(U)^t \cdot op(U) \cdot X$ More...

virtual SP::LAP_DoubleMatrix	matrixProduct (const LAP_DoubleMatrix &B) const
	general return C=(This) . B Create a general full matrix and return it More...

tBoolean	matrixProduct (const LAP_DoubleMatrix &B, LAP_DoubleFullGeneralMatrix &C) const
	fill C such that C:=(This) . B More...

void	matrixProduct (const LAP_DoubleFullGeneralMatrix &B, LAP_DoubleFullGeneralMatrix &C) const
	return C=(This) . B More...

void	matrixProduct (const LAP_DoublePackedUpperMatrix &B, LAP_DoubleFullGeneralMatrix &C) const
	return C=(This) . B More...

void	matrixProduct (const tBoolean &isLeft, const tBoolean &isTrans, const LAP_DoubleFullGeneralMatrix &B, const double &alpha, LAP_DoubleFullGeneralMatrix &C) const
	return C=alpha. op(This) . B or C=alpha B. op(this); More...

virtual void	matrixProduct (const tBoolean &isLeft, const tBoolean &isTrans, const double &alpha, LAP_DoubleFullGeneralMatrix &A) const
	compute A:=alpha op(This).A or A:=alpha A. op(This) More...

virtual void	matrixProduct (const tBoolean &isTrans, const double &alpha, LAP_DoubleFullGeneralMatrix &A) const
	compute A:=alpha op(This).A or A:=alpha A. op(This) More...

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

virtual void	solve (const tBoolean &isTrans, LAP_DoubleVector &B) const
	solve: More...

virtual void	solve (const tBoolean &isTrans, const tLVectorIndex &nB, const tLVectorIncrement &incB, double *B) const
	solve: More...

virtual tBoolean	solve (const tBoolean &isTrans, LAP_DoubleFullGeneralMatrix &X) const
	solve: More...

tBoolean	inverse ()
	inverse the matrix 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...

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

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

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

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...

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_DoublePackedUpperMatrix	New ()

static SP::LAP_DoublePackedUpperMatrix	New (const tLVectorIndex &n)

static void	matrixProduct (const tBoolean &isLeft, const tBoolean &isTransA, const LAP_DoublePackedUpperMatrix &A, const lapack_real &alpha, LAP_DoubleFullGeneralMatrix &B)
	make the product B := alpha. op(A).B or B:= alpha. B . op(A) More...

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

static tBoolean	solve (const tBoolean &isTransA, const LAP_DoublePackedUpperMatrix &A, LAP_DoubleFullGeneralMatrix &B)
	solve: More...

static tBoolean	inverse (LAP_DoublePackedUpperMatrix &A)
	inverse a symmetric matrix dsytrf & dsytri lapack methods called 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	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...

Detailed Description

this class describes a packed upper matrix for lapack used where values are stored in vector: {A(0,0) A(0,1) A(1,1) A(2,0),A(2,1) A(2,2) ....A(n,n)} This class describes a matrix

Constructor & Destructor Documentation

LAP_DoublePackedUpperMatrix::LAP_DoublePackedUpperMatrix ( )

build a matrix

References LAP_DoublePackedStorage::New(), and LAP_DoubleMatrix::setStorage().

Referenced by New().

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LAP_DoublePackedUpperMatrix::LAP_DoublePackedUpperMatrix ( const LAP_DoublePackedUpperMatrix & mat )

build a matrix for equality operator in construction

References LAP_DoubleMatrix::copy(), LAP_DoublePackedStorage::New(), and LAP_DoubleMatrix::setStorage().

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LAP_DoublePackedUpperMatrix::~LAP_DoublePackedUpperMatrix ( )

virtual

destroy a matrix

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_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

static tBoolean LAP_DoublePackedUpperMatrix::computeEigenValues	(	const LAP_DoublePackedUpperMatrix &	A,
		LAP_DoubleVector &	U
	)

inlinestatic

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

References LAP_Vector< T >::getIncrement(), LAP_Matrix::getRowsNumber(), LAP_Vector< T >::setSize(), tLVectorIncrement, and tLVectorIndex.

Referenced by computeEigenValues().

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

inlinevirtual

compute the eigen values of This

Implements LAP_DoubleUpperMatrix.

References computeEigenValues().

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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(), LAP_DoubleFullGeneralMatrix::isTransposed(), LAP_DoubleMatrix::isUpper(), null, and tBoolean.

Referenced by LAP_DoubleBandedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullUpperMatrix::computeEigenValueDecomposition(), LAP_DoubleFullGeneralMatrix::computeEigenValueDecomposition(), LAP_DoublePackedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleFullSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleMatrix::copy(), MMSD_DoubleSymmetricMatrix::copy(), LAP_DoubleBandedSymmetricMatrix::LAP_DoubleBandedSymmetricMatrix(), LAP_DoubleBandedUpperMatrix::LAP_DoubleBandedUpperMatrix(), LAP_DoubleFullGeneralMatrix::LAP_DoubleFullGeneralMatrix(), LAP_DoubleFullSymmetricMatrix::LAP_DoubleFullSymmetricMatrix(), LAP_DoubleFullUpperMatrix::LAP_DoubleFullUpperMatrix(), LAP_DoublePackedSymmetricMatrix::LAP_DoublePackedSymmetricMatrix(), LAP_DoublePackedUpperMatrix(), matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), LAP_DoubleFullGeneralMatrix::matrixProduct(), MATH_StiefelOptimizer::minimize(), LAP_DoubleBandedUpperMatrix::operator=(), LAP_DoubleBandedSymmetricMatrix::operator=(), LAP_DoublePackedSymmetricMatrix::operator=(), LAP_DoubleFullUpperMatrix::operator=(), LAP_DoubleFullSymmetricMatrix::operator=(), LAP_DoubleFullGeneralMatrix::operator=(), operator=(), and LAP_DoubleFullGeneralMatrix::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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tBoolean LAP_DoublePackedUpperMatrix::copyLower ( const LAP_DoubleFullGeneralMatrix & f )

virtual

copy the transposed of the full matrix

Parameters

f	the full matrix to copy the mower part in the upper part of This by transposition

Returns: false if the matrix allocation needs too much memory

Implements LAP_DoubleUpperMatrix.

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

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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(), matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoubleFullSymmetricMatrix::matrixProduct(), LAP_DoubleFullUpperMatrix::matrixProduct(), LAP_DoubleFullGeneralMatrix::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(), 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_DoublePackedUpperMatrix::getColumn	(	const tLVectorIndex &	j,
		LAP_DoubleVector &	v
	)		const

virtual

get the j-th column of this symmetric matrix in a vector

Implements LAP_DoubleMatrix.

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

Referenced by getColumn().

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

inlinevirtual

get the j-th column of this symmetric matrix in a vector

Reimplemented from LAP_DoubleMatrix.

References ASSERT_IN, getColumn(), and null.

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virtual tLVectorIndex LAP_Matrix::getColumnsNumber ( ) const

inlinevirtualinherited

get the columns number of the matrix from view

Reimplemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, and LAP_DoubleFullSymmetricMatrix.

References LAP_Matrix::getSize().

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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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double& LAP_Object::getNullValue ( )

inlineinherited

get a null value

Referenced by LAP_DoubleBandedStorage::operator()(), LAP_DoubleBandedUpperMatrix::operator()(), 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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void LAP_DoublePackedUpperMatrix::getRow	(	const tLVectorIndex &	i,
		LAP_DoubleVector &	v
	)		const

virtual

get the i-th row in a vector

Implements LAP_DoubleMatrix.

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

Referenced by getRow().

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

inlinevirtual

get the i-th row in a vector

Reimplemented from LAP_DoubleMatrix.

References ASSERT_IN, getRow(), and null.

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virtual tLVectorIndex LAP_Matrix::getRowsNumber ( ) const

inlinevirtualinherited

get the lines number of the matrix from view

Reimplemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, and LAP_DoubleFullSymmetricMatrix.

References LAP_Matrix::getSize().

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

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LAP_DoubleMatrixStorage& LAP_DoubleMatrix::getStorage ( )

inlineinherited

set the storage

References null.

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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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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_DoublePackedUpperMatrix::inverse ( )

inline

inverse the matrix

Returns: true if succeeds

static tBoolean LAP_DoublePackedUpperMatrix::inverse ( LAP_DoublePackedUpperMatrix & A )

inlinestatic

inverse a symmetric matrix dsytrf & dsytri lapack methods called

References DoublePackedUpperMatrixInverse(), and LAP_Matrix::getRowsNumber().

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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_DoubleUpperMatrix::isSymmetric ( ) const

inlinevirtualinherited

return true if the matrix is symmetric

Implements LAP_DoubleMatrix.

virtual tBoolean LAP_DoubleUpperMatrix::isUpper ( ) const

inlinevirtualinherited

return true if the matrix is upper

Implements LAP_DoubleMatrix.

SP::LAP_DoubleMatrix LAP_DoublePackedUpperMatrix::matrixProduct ( const LAP_DoubleMatrix & B ) const

virtual

general return C=(This) . B Create a general full matrix and return it

Parameters

B	the double matrix

Implements LAP_DoubleMatrix.

References LAP_DoubleMatrix::get(), CORE_Object::getClassName(), and LAP_DoubleFullGeneralMatrix::New().

Referenced by matrixProduct().

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

fill C such that C:=(This) . B

Parameters

B	the general double matrix
C	the output matrix

Returns: false if B is not a general full matrix

References matrixProduct(), and null.

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

inline

return C=(This) . B

Parameters

B	the general full matrix
C	the output matrix

References matrixProduct().

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

return C=(This) . B

Parameters

B	the full upper matric

References LAP_DoubleMatrix::copy(), and matrixProduct().

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

return C=alpha. op(This) . B or C=alpha B. op(this);

Parameters

isLeft	if (isLeft) compute C:=alpha op(This).B else compute C:=alpha B. op(this)
isTrans	if (isTransA) op(A)=tA else op(A)=A
alpha	alpha value
B	the inout matrix
C	: the IN/OUT full matrix

C=B C:=alpha. op(This) . C or C:=alpha. C. op(This) depening on isLeft value

References LAP_DoubleMatrix::copy(), and matrixProduct().

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virtual void LAP_DoublePackedUpperMatrix::matrixProduct	(	const tBoolean &	isLeft,
		const tBoolean &	isTrans,
		const double &	alpha,
		LAP_DoubleFullGeneralMatrix &	A
	)		const

inlinevirtual

compute A:=alpha op(This).A or A:=alpha A. op(This)

Parameters

isLeft	if (isLeft) compute A:=alpha op(This).A else compute A:=alpha A. op(this)
isTrans	if (isTrans) op(A)=tA else op(A)=A
alpha	alpha value
A	the A matrix

Implements LAP_DoubleUpperMatrix.

References matrixProduct().

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virtual void LAP_DoublePackedUpperMatrix::matrixProduct	(	const tBoolean &	isTrans,
		const double &	alpha,
		LAP_DoubleFullGeneralMatrix &	A
	)		const

inlinevirtual

compute A:=alpha op(This).A or A:=alpha A. op(This)

Parameters

isLeft	if (isLeft) compute A:=alpha op(This).A else compute A:=alpha A. op(this)
isTrans	if (isTrans) op(A)=tA else op(A)=A
alpha	alpha value
A	the A matrix

References matrixProduct().

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void LAP_DoublePackedUpperMatrix::matrixProduct	(	const tBoolean &	isLeft,
		const tBoolean &	isTransA,
		const LAP_DoublePackedUpperMatrix &	A,
		const lapack_real &	alpha,
		LAP_DoubleFullGeneralMatrix &	B
	)

static

make the product B := alpha. op(A).B or B:= alpha. B . op(A)

Parameters

isLeft	if (isLeft) compute B:=alpha op(A).B else compute B:=alpha B. op(A)
isTransA	if (isTransA) op(A)=tA else op(A)=A
alpha	alpha value
A	the upper matrix
B	: the IN/OUT full matrix

References DoublePackedUpperMatrixMatrixProduct(), LAP_Matrix::getColumnsNumber(), LAP_DoubleFullGeneralMatrix::getColumnsNumber(), LAP_DoubleFullGeneralMatrix::getLeadingDimension(), LAP_DoubleFullGeneralMatrix::getRowIncrement(), LAP_Matrix::getRowsNumber(), LAP_DoubleFullGeneralMatrix::getRowsNumber(), tLVectorIncrement, and tLVectorIndex.

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static SP::LAP_DoublePackedUpperMatrix LAP_DoublePackedUpperMatrix::New ( )

inlinestatic

References LAP_DoublePackedUpperMatrix().

Referenced by New(), and NewInstance().

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static SP::LAP_DoublePackedUpperMatrix LAP_DoublePackedUpperMatrix::New ( const tLVectorIndex & n )

inlinestatic

References New().

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

inlinevirtual

create a New instance of this

Implements LAP_DoubleMatrix.

References New().

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tReal LAP_DoublePackedUpperMatrix::norm2 ( ) const

virtual

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

Implements LAP_DoubleMatrix.

References LAP_Matrix::getRowsNumber(), sum(), and tLVectorIndex.

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tReal LAP_DoublePackedUpperMatrix::norm2 ( LAP_DoubleVector & v ) const

virtual

return norm2 of the matrix and for each row;

Implements LAP_DoubleMatrix.

References LAP_Matrix::getRowsNumber(), LAP_Vector< T >::resetView(), LAP_Vector< T >::setSize(), sum(), and tLVectorIndex.

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

inlinevirtual

accessor of element at row i and column j taking into account the view only use the upper diagonal

Implements LAP_DoubleMatrix.

References LAP_Object::getNullValue().

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

inlinevirtual

accessor of element at row i and column j taking into account the view only use the upper diagonal

Implements LAP_DoubleMatrix.

References LAP_Object::getNullValue().

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

inline

multiply by s the matrix

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

inline

multiply the viewed matrices term by term

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

inline

add s to the upper matrix

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

inline

add the viewed matrix

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

inline

sub s to the upper matrix

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

inline

sub the viewed matrix

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

inline

divide by s the matrix v

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

inline

divide the viewed matrices term by term

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

inline

init all the matrix to s

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

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LAP_DoublePackedUpperMatrix& LAP_DoublePackedUpperMatrix::operator= ( const LAP_DoubleMatrix & 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_DoublePackedUpperMatrix& LAP_DoublePackedUpperMatrix::operator^= ( const lapack_real & s )

inline

power by s the matrix v

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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virtual void LAP_DoublePackedUpperMatrix::rankProduct	(	const tBoolean &	isTransU,
		const LAP_DoubleVector &	Diag,
		LAP_DoubleVector &	X
	)		const

inlinevirtual

compute product $X:=op(U)^t \cdot Diag \cdot op(U) \cdot X$

Parameters

isTransU	: defines the operator if isTrans is true.
Diag	diagonal vector of the same size as This
X	: input/output vector

Implements LAP_DoubleUpperMatrix.

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

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virtual void LAP_DoublePackedUpperMatrix::rankProduct	(	const tBoolean &	isTransU,
		LAP_DoubleVector &	X
	)		const

inlinevirtual

compute product $X:=op(U)^t \cdot op(U) \cdot X$

Parameters

isTransU	: defines the operator if isTrans is true.
X	input/output vector

Implements LAP_DoubleUpperMatrix.

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

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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_DoublePackedUpperMatrix::setSize	(	const tLVectorIndex &	nRows,
		const tLVectorIndex &	nCols
	)

inlinevirtual

set the dimension of the matrix

Reimplemented from LAP_Matrix.

References LAP_DoubleMatrix::getStorage(), LAP_Matrix::setSize(), LAP_DoubleMatrixStorage::setValuesNumber(), and tLVectorIndex.

Referenced by copyLower().

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

inlinevirtual

set the dimension of the matrix

Parameters

n	is the number of cols

Reimplemented from LAP_Matrix.

References LAP_DoubleMatrix::getStorage(), LAP_Matrix::setSize(), LAP_DoubleMatrixStorage::setValuesNumber(), and tLVectorIndex.

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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_DoubleFullGeneralMatrix(), LAP_DoubleFullSymmetricMatrix::LAP_DoubleFullSymmetricMatrix(), LAP_DoubleFullUpperMatrix::LAP_DoubleFullUpperMatrix(), LAP_DoublePackedSymmetricMatrix::LAP_DoublePackedSymmetricMatrix(), and 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_DoublePackedUpperMatrix::setValues ( SP::LAP_DoubleVector values )

inlinevirtual

set the values set the pointer values of the matrix to values the size of the vector is mBandsNumber*nCols

Reimplemented from LAP_DoubleMatrix.

References ASSERT_IN, LAP_DoubleMatrix::getStorage(), null, LAP_Matrix::setSize(), LAP_DoubleMatrixStorage::setValuesPointer(), and tLVectorIndex.

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

inlinevirtual

set the values

Reimplemented from LAP_DoubleMatrix.

References LAP_DoubleMatrix::getStorage(), LAP_Matrix::setSize(), LAP_DoubleMatrixStorage::setValues(), and tLVectorIndex.

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virtual void LAP_DoublePackedUpperMatrix::solve	(	const tBoolean &	isTrans,
		LAP_DoubleVector &	B
	)		const

inlinevirtual

solve:

op(U).X=B and B:=X
U is this upper pack matrix
Parameters

isTrans op(A)=A (isTrans=false) op(A)=tA (isTrans=true)

X is a vector of size nRows B contains X at exit

References LAP_Vector< T >::getIncrement(), LAP_Vector< T >::getSize(), and tLVectorIndex.

Referenced by solve().

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virtual void LAP_DoublePackedUpperMatrix::solve	(	const tBoolean &	isTrans,
		const tLVectorIndex &	nB,
		const tLVectorIncrement &	incB,
		double *	B
	)		const

inlinevirtual

solve:

op(U).X=B and B:=X
U is this upper pack matrix
Parameters

isTrans op(A)=A (isTrans=false) op(A)=tA (isTrans=true)

nB size of B

incB memory distance between B[i] & B[i+1]

B values of B B contains X at exit

Implements LAP_DoubleUpperMatrix.

References DoublePackedUpperMatrixVectorSolve(), LAP_Matrix::getColumnsNumber(), LAP_Matrix::getRowsNumber(), and tLVectorIndex.

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virtual tBoolean LAP_DoublePackedUpperMatrix::solve	(	const tBoolean &	isTrans,
		LAP_DoubleFullGeneralMatrix &	X
	)		const

inlinevirtual

solve:

op(U).X=B && B:=X
U is this
Parameters

isTrans op(A)=A (isTrans=false) op(A)=tA (isTrans=true)

B is a full matrix of size nxm B contains X at exit

Implements LAP_DoubleUpperMatrix.

References solve().

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static tBoolean LAP_DoublePackedUpperMatrix::solve	(	const tBoolean &	isTransA,
		const LAP_DoublePackedUpperMatrix &	A,
		LAP_DoubleFullGeneralMatrix &	B
	)

inlinestatic

solve:

op(A).X=B && B:=X
A is this
Parameters

isTransA op(A)=A (isTrans=false) op(A)=tA (isTrans=true)

A the packed upper matrix

B is a full matrix of size nxm B contains X at exit

References DoublePackedUpperMatrixSolve(), LAP_DoubleFullGeneralMatrix::getColumnsNumber(), LAP_DoubleFullGeneralMatrix::getLeadingDimension(), LAP_Matrix::getRowsNumber(), LAP_DoubleFullGeneralMatrix::getRowsNumber(), and tLVectorIndex.

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tReal LAP_DoublePackedUpperMatrix::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 LAP_Matrix::COL, LAP_Matrix::getColumnsNumber(), LAP_Matrix::getRowsNumber(), null, LAP_Vector< T >::setSize(), and tLVectorIndex.

Referenced by norm2(), and sum().

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tReal LAP_DoublePackedUpperMatrix::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 LAP_Matrix::COL, LAP_Matrix::getRowsNumber(), LAP_Matrix::ROW, sum(), and tLVectorIndex.

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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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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 LAP_DoubleFullGeneralMatrix::vectorProduct().

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

inlinevirtualinherited

compute Y= This. X

Parameters

X	input vector
Y	output vector

Reimplemented in LAP_DoubleFullGeneralMatrix, and LAP_DoubleFullUpperMatrix.

References LAP_DoubleMatrix::vectorProduct().

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

inlinevirtual

compute X:=op(This).X

Parameters

isTrans	: if (isTrans) op(A)=A else op(A)=tA
X	In/Output vector X

Implements LAP_DoubleUpperMatrix.

Referenced by 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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void LAP_DoublePackedUpperMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const double &	alpha,
		LAP_DoubleVector &	X
	)		const

inline

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

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

inlinevirtual

return Y=op(This).X

Parameters

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

Reimplemented from LAP_DoubleMatrix.

References vectorProduct().

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void LAP_DoublePackedUpperMatrix::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 LAP_DoubleVector::copy(), LAP_Matrix::getColumnsNumber(), LAP_Vector< T >::getIncrement(), LAP_Matrix::getRowsNumber(), LAP_Vector< T >::getSize(), tLVectorIndex, and vectorProduct().

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

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void LAP_DoublePackedUpperMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const tLVectorIndex &	nX,
		const tLVectorIncrement &	incX,
		double *	X
	)		const

inlinevirtual

compute X:=op(A). 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

Implements LAP_DoubleUpperMatrix.

References DoublePackedUpperMatrixVectorProduct(), LAP_Matrix::getColumnsNumber(), LAP_Matrix::getRowsNumber(), and tLVectorIndex.

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void LAP_DoublePackedUpperMatrix::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

virtual

compute Y= beta. Y + alpha. op(A). 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

Implements LAP_DoubleMatrix.

References LAP_Matrix::getColumnsNumber(), LAP_Matrix::getRowsNumber(), null, and tLVectorIndex.

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static double LAP_DoubleMatrix::zpow	(	const double &	f,
		const int &	n
	)

inlinestaticinherited

compute the value of pow(f,n)=f^n

Parameters

f	real value
n	exponent relative value

return $\displaystyle f^n$

Member Data Documentation

const tFlag LAP_Matrix::COL =1

staticinherited

Referenced by LAP_DoubleFullGeneralMatrix::concat(), LAP_Matrix::copy(), LAP_DoubleFullStorage::getColumnByReference(), LAP_DoubleFullStorage::getLeadingDimension(), LAP_DoubleFullStorage::getRowByReference(), LAP_DoubleFullStorage::getViewedColumnsNumber(), LAP_DoubleFullStorage::isSubmatrixView(), LAP_Matrix::LAP_Matrix(), LAP_DoublePackedStorage::max(), LAP_DoubleBandedStorage::max(), LAP_DoubleFullStorage::operator()(), LAP_DoubleFullGeneralMatrix::removeColumn(), LAP_DoubleFullStorage::resetView(), LAP_Matrix::setSize(), LAP_DoubleFullGeneralMatrix::solve(), sum(), and LAP_DoubleBandedUpperMatrix::sum().

tBoolean CORE_Object::mIsMemoryTesting =false

staticinherited

indicator to store all classes created and deleted only for debuging version

Referenced by CORE_Object::CORE_Object(), main(), CORE_Object::printObjectsInMemory(), and CORE_Object::~CORE_Object().

const tFlag LAP_Matrix::ROW =0

staticinherited

Referenced by LAP_DoubleFullGeneralMatrix::concat(), LAP_Matrix::copy(), LAP_DoubleFullStorage::getColumnByReference(), LAP_DoubleFullStorage::getRowByReference(), LAP_DoubleFullStorage::getRowIncrement(), MMSD_DoubleSymmetricMatrix::getSize(), LAP_DoubleFullStorage::getViewedRowsNumber(), LAP_DoubleFullSymmetricMatrix::indexMin(), LAP_DoubleFullUpperMatrix::indexMin(), LAP_DoubleFullGeneralMatrix::indexMin(), LAP_DoubleFullStorage::isSubmatrixView(), LAP_Matrix::LAP_Matrix(), LAP_DoublePackedStorage::max(), LAP_DoubleFullUpperMatrix::max(), LAP_DoubleFullGeneralMatrix::max(), LAP_DoubleFullStorage::operator()(), LAP_DoubleFullGeneralMatrix::removeColumn(), LAP_DoubleFullStorage::resetView(), LAP_Matrix::setSize(), LAP_DoubleFullGeneralMatrix::solve(), sum(), LAP_DoubleFullUpperMatrix::sum(), and LAP_DoubleFullGeneralMatrix::sum().

double LAP_Object::ZERO_EPSILON =1.e-18

staticinherited

Referenced by LAP_DoublePackedStorage::computeBandsNumber(), LAP_DoubleBandedStorage::computeBandsNumber(), LAP_DoubleFullStorage::computeBandsNumber(), LAP_DoubleBandedStorage::copyFullStorage(), LAP_DoubleBandedStorage::copyPackStorage(), LAP_DoubleMatrixStorage::getNullValuesNumber(), LAP_DoubleFullGeneralMatrix::lowerTest(), LAP_DoubleFullGeneralMatrix::symmetricTest(), and LAP_DoubleFullGeneralMatrix::upperTest().

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

isTrans	op(A)=A (isTrans=false) op(A)=tA (isTrans=true)
X	is a vector of size nRows B contains X at exit

isTrans	op(A)=A (isTrans=false) op(A)=tA (isTrans=true)
nB	size of B
incB	memory distance between B[i] & B[i+1]
B	values of B B contains X at exit

isTrans	op(A)=A (isTrans=false) op(A)=tA (isTrans=true)
B	is a full matrix of size nxm B contains X at exit

isTransA	op(A)=A (isTrans=false) op(A)=tA (isTrans=true)
A	the packed upper matrix
B	is a full matrix of size nxm B contains X at exit

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation