this class describes a general double symmetric matrix More...

#include <LAP_DoubleUpperMatrix.h>

Inheritance diagram for LAP_DoubleUpperMatrix:

Collaboration diagram for LAP_DoubleUpperMatrix:

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

	LAP_DoubleUpperMatrix (const tLVectorIndex &n, const tLVectorIndex &p)
	build a matrix More...

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

virtual tBoolean	copyLower (const LAP_DoubleFullGeneralMatrix &f)=0
	copy the transposed of the full 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 void	vectorProduct (const tBoolean &isTrans, LAP_DoubleVector &X) const =0
	compute X:=op(This).X More...

virtual void	vectorProduct (const tBoolean &isTrans, const tLVectorIndex &nY, const tLVectorIncrement &incY, double *Y) const =0
	compute Y:=op(This).Y with op(A)=A or op(A)=tA More...

virtual void	rankProduct (const tBoolean &isTransU, LAP_DoubleVector &X) const =0
	compute product $X:=op(U)^t \cdot op(U) \cdot X$ More...

virtual void	rankProduct (const tBoolean &isTransU, const LAP_DoubleVector &Diag, LAP_DoubleVector &X) const =0
	compute product $X:=op(U)^t \cdot Diag \cdot op(U) \cdot X$ More...

virtual void	matrixProduct (const tBoolean &isLeft, const tBoolean &isTrans, const double &alpha, LAP_DoubleFullGeneralMatrix &A) const =0
	compute : More...

virtual tBoolean	computeEigenValues (LAP_DoubleVector &U) const =0
	compute the eigen values of the matrix More...

virtual void	solve (const tBoolean &isTrans, const tLVectorIndex &nY, const tLVectorIncrement &incY, double *Y) const =0
	solve: More...

virtual tBoolean	solve (const tBoolean &isTrans, LAP_DoubleFullGeneralMatrix &X) const =0
	solve: 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 const double &	operator() (const tLVectorIndex &i, const tLVectorIndex &j) const =0
	get the element at row i & column j More...

virtual double &	operator() (const tLVectorIndex &i, const tLVectorIndex &j)=0
	get the element at row i & column j More...

virtual SP::LAP_DoubleMatrix	NewInstance () const =0
	create a New instance of this 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...

virtual void	setValues (SP::LAP_DoubleVector v)
	set the values of the matrix More...

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

virtual void	getColumn (const tLVectorIndex &j, LAP_DoubleVector &v) const =0
	get the j-th column in a vector More...

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

virtual void	getRow (const tLVectorIndex &i, LAP_DoubleVector &v) const =0
	get the i-th row in a vector More...

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

virtual tReal	sum (const tFlag &d, LAP_DoubleVector &s) const =0
	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 =0
	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	norm2 () const =0
	return norm2 sqrt(sum_ij(aij^2))=sqrt(tr(AtA)); More...

virtual tReal	norm2 (LAP_DoubleVector &v) const =0
	return norm2 of the matrix and for each row; 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 (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...

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 SP::LAP_DoubleMatrix	matrixProduct (const LAP_DoubleMatrix &B) const =0
	return C= This.B More...

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

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

virtual void	setSize (const tLVectorIndex &n)
	set the dimension of the matrix n x p 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 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 general double symmetric matrix

Constructor & Destructor Documentation

LAP_DoubleUpperMatrix::LAP_DoubleUpperMatrix ( )

inline

build a matrix

LAP_DoubleUpperMatrix::LAP_DoubleUpperMatrix	(	const tLVectorIndex &	n,
		const tLVectorIndex &	p
	)

inline

build a matrix

virtual LAP_DoubleUpperMatrix::~LAP_DoubleUpperMatrix ( )

inlinevirtual

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

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

pure virtual

compute the eigen values of the matrix

Parameters

U	: the eigen values in a vector

Implements LAP_DoubleMatrix.

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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::LAP_DoublePackedUpperMatrix(), 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=(), LAP_DoublePackedUpperMatrix::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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virtual tBoolean LAP_DoubleUpperMatrix::copyLower ( const LAP_DoubleFullGeneralMatrix & f )

pure 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

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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

pure virtualinherited

get the j-th column in a vector

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

Referenced by LAP_DoubleMatrix::getColumn().

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

inlinevirtualinherited

get the j-th column in a vector

Reimplemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

References LAP_DoubleMatrix::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()(), 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_DoubleMatrix::getRow	(	const tLVectorIndex &	i,
		LAP_DoubleVector &	v
	)		const

pure virtualinherited

get the i-th row in a vector

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

Referenced by LAP_DoubleMatrix::getRow().

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

inlinevirtualinherited

get the j-th column in a vector

Reimplemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

References LAP_DoubleMatrix::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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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

inlinevirtual

return true if the matrix is symmetric

Implements LAP_DoubleMatrix.

virtual tBoolean LAP_DoubleUpperMatrix::isUpper ( ) const

inlinevirtual

return true if the matrix is upper

Implements LAP_DoubleMatrix.

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

pure virtual

compute :

(isLeft) A:=alpha op(This).A
(!isLeft) 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(X)=tX else op(X)=X
alpha	alpha value
A	the A matrix

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

Referenced by LAP_DoubleFullGeneralMatrix::matrixProduct().

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

pure virtualinherited

return C= This.B

Parameters

B	the right multiplied matrix

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, LAP_DoublePackedUpperMatrix, and LAP_DoubleBandedSymmetricMatrix.

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

pure virtualinherited

create a New instance of this

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleFullUpperMatrix, LAP_DoublePackedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoubleBandedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

virtual tReal LAP_DoubleMatrix::norm2 ( ) const

pure virtualinherited

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

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

virtual tReal LAP_DoubleMatrix::norm2 ( LAP_DoubleVector & v ) const

pure virtualinherited

return norm2 of the matrix and for each row;

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

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

pure virtualinherited

get the element at row i & column j

Parameters

i	index of the row in [0,getRowsNumber()[
j	index of the column in [0,getColumnsNumber()[ return the value of the element (i,j).

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleFullUpperMatrix, LAP_DoublePackedSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoublePackedUpperMatrix, and LAP_DoubleBandedUpperMatrix.

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

pure virtualinherited

get the element at row i & column j

Parameters

i	index of the row in [0,getRowsNumber()[
j	index of the column in [0,getColumnsNumber()[ return the value of the element (i,j). If the block matrix is null return a null value

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleFullUpperMatrix, LAP_DoublePackedSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoublePackedUpperMatrix, and LAP_DoubleBandedUpperMatrix.

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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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_DoubleUpperMatrix::rankProduct	(	const tBoolean &	isTransU,
		LAP_DoubleVector &	X
	)		const

pure virtual

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

Parameters

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

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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

pure virtual

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

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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_Matrix::setSize	(	const tLVectorIndex &	n,
		const tLVectorIndex &	p
	)

inlinevirtualinherited

set the dimension of the matrix n x p

Reimplemented in LAP_DoubleFullSymmetricMatrix, LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoublePackedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedUpperMatrix, and LAP_DoubleBandedSymmetricMatrix.

References LAP_Matrix::COL, and LAP_Matrix::ROW.

Referenced by MMSD_IntegerFullMatrix::computeCombinations(), LAP_DoubleBandedSymmetricMatrix::setSize(), LAP_DoubleBandedUpperMatrix::setSize(), LAP_DoublePackedUpperMatrix::setSize(), LAP_DoublePackedSymmetricMatrix::setSize(), LAP_DoubleFullUpperMatrix::setSize(), LAP_DoubleFullGeneralMatrix::setSize(), LAP_DoubleFullSymmetricMatrix::setSize(), LAP_DoublePackedUpperMatrix::setValues(), LAP_DoublePackedSymmetricMatrix::setValues(), LAP_DoubleBandedSymmetricMatrix::setValues(), LAP_DoubleBandedUpperMatrix::setValues(), LAP_DoubleFullUpperMatrix::setValues(), LAP_DoubleFullGeneralMatrix::setValues(), and LAP_DoubleFullSymmetricMatrix::setValues().

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

inlinevirtualinherited

set the dimension of the matrix n x p

Reimplemented in LAP_DoubleFullSymmetricMatrix, LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoublePackedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoubleBandedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

References LAP_Matrix::COL, and LAP_Matrix::ROW.

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::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_DoubleMatrix::setValues ( SP::LAP_DoubleVector v )

inlinevirtualinherited

set the values of the matrix

Reimplemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

Referenced by MMSD_DoubleSymmetricMatrix::setValues().

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

inlinevirtualinherited

set the values

Reimplemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

virtual void LAP_DoubleUpperMatrix::solve	(	const tBoolean &	isTrans,
		const tLVectorIndex &	nY,
		const tLVectorIncrement &	incY,
		double *	Y
	)		const

pure virtual

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

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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

pure virtual

solve:

op(U).X=alpha.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

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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

pure virtualinherited

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

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

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

pure virtualinherited

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

Implemented in LAP_DoubleFullGeneralMatrix, LAP_DoubleFullUpperMatrix, LAP_DoubleFullSymmetricMatrix, LAP_DoubleBandedSymmetricMatrix, LAP_DoubleBandedUpperMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoublePackedUpperMatrix.

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

pure virtual

compute X:=op(This).X

Parameters

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

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

virtual void LAP_DoubleUpperMatrix::vectorProduct	(	const tBoolean &	isTrans,
		const tLVectorIndex &	nY,
		const tLVectorIncrement &	incY,
		double *	Y
	)		const

pure virtual

compute Y:=op(This).Y with op(A)=A or op(A)=tA

Parameters

isTrans	if (isTrans) op(A)=tA else op(A)=A
nY	: size of Y
incY:memory	distance between Y(i) &nd Y(i+1)
Y	values of Y

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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_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