C++ main module for mmsd Package  1.0
Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | List of all members
LAP_DoubleSymmetricMatrix Class Referenceabstract

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

#include <LAP_DoubleSymmetricMatrix.h>

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Public Member Functions

 LAP_DoubleSymmetricMatrix ()
 build a matrix More...
 
virtual ~LAP_DoubleSymmetricMatrix ()
 destroy a 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 rankSymmetricProduct (const double &alpha, const double &beta, const tLVectorIndex &nARows, const tLVectorIndex &nACols, const tLVectorIncrement &incA, const tLVectorIndex &ldA, const tBoolean &isTransA, const double *A)=0
 compute the symmetric matrix This:=beta.This+alpha op(A).t(op(A)) More...
 
virtual void matrixProduct (const tBoolean &leftSide, const LAP_DoubleFullGeneralMatrix &B, const lapack_real &alpha, const lapack_real &beta, LAP_DoubleFullGeneralMatrix &C) const =0
 make the product: More...
 
virtual void matrixProduct (const tBoolean &leftSide, const tLVectorIndex &nRows, const tLVectorIndex &nCols, const tLVectorIncrement &incB, const tLVectorIndex &ldb, const double *B, const lapack_real &alpha, const lapack_real &beta, LAP_DoubleFullGeneralMatrix &C) const =0
 make the product: More...
 
virtual SP::LAP_DoubleUpperMatrix choleskyFactorization ()=0
 compute the choleskey factorization of the symmetric matrix A is modified such that the upper matrix of A is the matrix upper triangular matri U : A = U**T*U 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_DoubleMatrixStoragegetStorage ()
 set the storage More...
 
const LAP_DoubleMatrixStoragegetStorage () 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 tBoolean computeEigenValues (LAP_DoubleVector &U) const =0
 compute the eigen values of This: A is copied 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 tLVectorIndexgetSize (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_DoubleSymmetricMatrix::LAP_DoubleSymmetricMatrix ( )
inline

build a matrix

virtual LAP_DoubleSymmetricMatrix::~LAP_DoubleSymmetricMatrix ( )
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
jcolumn of the element
vvalue to add
void LAP_DoubleMatrix::addDiagonal ( const double &  alpha)
inlineinherited

This +=alpha.I.

Referenced by MATH_StiefelOptimizer::minimize().

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virtual SP::LAP_DoubleUpperMatrix LAP_DoubleSymmetricMatrix::choleskyFactorization ( )
pure virtual

compute the choleskey factorization of the symmetric matrix A is modified such that the upper matrix of A is the matrix upper triangular matri U : A = U**T*U

Implemented in LAP_DoubleFullSymmetricMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoubleBandedSymmetricMatrix.

pair<tLVectorIndex,tLVectorIndex> LAP_DoubleMatrix::computeBandsNumber ( ) const
inlineinherited
virtual tBoolean LAP_DoubleMatrix::computeEigenValues ( LAP_DoubleVector U) const
pure virtualinherited

compute the eigen values of This: A is copied

Parameters
Uis the result eigen values
Returns
false if the eigen values can not be computed

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

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

copy operator

Parameters
mmatrix 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
xthe 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
xthe 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
xthe matrix to copy

References LAP_DoubleMatrix::copy(), and null.

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double LAP_DoubleMatrix::get ( const tLVectorIndex i,
const tLVectorIndex j 
) const
inlineinherited
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
virtual void LAP_DoubleMatrix::getColumn ( const tLVectorIndex j,
SP::LAP_DoubleVector  v 
) const
inlinevirtualinherited
virtual tLVectorIndex LAP_Matrix::getColumnsNumber ( ) const
inlinevirtualinherited
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
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
virtual void LAP_DoubleMatrix::getRow ( const tLVectorIndex i,
SP::LAP_DoubleVector  v 
) const
inlinevirtualinherited
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().

Referenced by LAP_DoubleBandedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoublePackedSymmetricMatrix::computeEigenValueDecomposition(), LAP_DoubleBandedSymmetricMatrix::computeEigenValues(), LAP_DoublePackedUpperMatrix::computeEigenValues(), LAP_DoubleBandedUpperMatrix::computeEigenValues(), LAP_DoublePackedSymmetricMatrix::computeEigenValues(), LAP_DoublePackedUpperMatrix::getColumn(), LAP_DoublePackedSymmetricMatrix::getColumn(), LAP_DoubleBandedUpperMatrix::getColumn(), LAP_DoublePackedUpperMatrix::getRow(), LAP_DoublePackedSymmetricMatrix::getRow(), LAP_DoubleBandedUpperMatrix::getRow(), LAP_DoubleBandedSymmetricMatrix::getRow(), LAP_DoublePackedUpperMatrix::inverse(), LAP_DoublePackedSymmetricMatrix::inverse(), LAP_DoubleBandedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::matrixProduct(), LAP_DoubleBandedUpperMatrix::matrixProduct(), LAP_DoublePackedSymmetricMatrix::matrixProduct(), LAP_DoublePackedUpperMatrix::norm2(), LAP_DoublePackedSymmetricMatrix::norm2(), LAP_DoubleBandedUpperMatrix::norm2(), LAP_DoubleBandedSymmetricMatrix::norm2(), MMSD_IntegerFullMatrix::operator()(), MMSD_IntegerFullMatrix::randomizeColumns(), LAP_DoublePackedUpperMatrix::rankProduct(), LAP_DoubleBandedUpperMatrix::rankProduct(), LAP_DoublePackedSymmetricMatrix::rankSymmetricProduct(), LAP_DoublePackedUpperMatrix::solve(), LAP_DoubleBandedUpperMatrix::solve(), LAP_DoublePackedUpperMatrix::sum(), LAP_DoublePackedSymmetricMatrix::sum(), LAP_DoubleBandedUpperMatrix::sum(), LAP_DoubleBandedSymmetricMatrix::sum(), LAP_DoubleMatrix::toString(), LAP_DoublePackedSymmetricMatrix::vectorProduct(), LAP_DoubleMatrix::vectorProduct(), LAP_DoubleBandedSymmetricMatrix::vectorProduct(), LAP_DoublePackedUpperMatrix::vectorProduct(), and LAP_DoubleBandedUpperMatrix::vectorProduct().

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void CORE_Object::getSharedPointer ( SP::CORE_Object &  p)
inlineinherited
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
LAP_DoubleMatrixStorage& LAP_DoubleMatrix::getStorage ( )
inlineinherited
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
vinit 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_DoubleSymmetricMatrix::isSymmetric ( ) const
inlinevirtual

return true if the matrix is symmetric

Implements LAP_DoubleMatrix.

virtual tBoolean LAP_DoubleSymmetricMatrix::isUpper ( ) const
inlinevirtual

return true if the matrix is upper

Implements LAP_DoubleMatrix.

virtual void LAP_DoubleSymmetricMatrix::matrixProduct ( const tBoolean leftSide,
const LAP_DoubleFullGeneralMatrix B,
const lapack_real alpha,
const lapack_real beta,
LAP_DoubleFullGeneralMatrix C 
) const
pure virtual

make the product:

  • if (leftSide) C = alpha. This . B +beta C
  • if (!leftSide) C = alpha. B . This +beta C
    Parameters
    leftside: the side of product
    B: the full matrix
    alphathe alpha value
    betathe beta value
    Cthe output full matrix

Implemented in LAP_DoubleFullSymmetricMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoubleBandedSymmetricMatrix.

Referenced by LAP_DoubleFullGeneralMatrix::matrixProduct().

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virtual void LAP_DoubleSymmetricMatrix::matrixProduct ( const tBoolean leftSide,
const tLVectorIndex nRows,
const tLVectorIndex nCols,
const tLVectorIncrement incB,
const tLVectorIndex ldb,
const double *  B,
const lapack_real alpha,
const lapack_real beta,
LAP_DoubleFullGeneralMatrix C 
) const
pure virtual

make the product:

  • if (leftSide) C = alpha. This . B +beta C
  • if (!leftSide) C = alpha. B . This +beta C
    Parameters
    leftside: the side of product
    B: the full matrix
    alphathe alpha value
    betathe beta value
    Cthe output full matrix

Implemented in LAP_DoubleFullSymmetricMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoubleBandedSymmetricMatrix.

virtual SP::LAP_DoubleMatrix LAP_DoubleMatrix::matrixProduct ( const LAP_DoubleMatrix B) const
pure virtualinherited
virtual SP::LAP_DoubleMatrix LAP_DoubleMatrix::NewInstance ( ) const
pure virtualinherited
virtual tReal LAP_DoubleMatrix::norm2 ( ) const
pure virtualinherited
virtual tReal LAP_DoubleMatrix::norm2 ( LAP_DoubleVector v) const
pure virtualinherited
virtual const double& LAP_DoubleMatrix::operator() ( const tLVectorIndex i,
const tLVectorIndex j 
) const
pure virtualinherited

get the element at row i & column j

Parameters
iindex of the row in [0,getRowsNumber()[
jindex 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
iindex of the row in [0,getRowsNumber()[
jindex 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
indexindex 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
indexindex 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_DoubleSymmetricMatrix::rankSymmetricProduct ( const double &  alpha,
const double &  beta,
const tLVectorIndex nARows,
const tLVectorIndex nACols,
const tLVectorIncrement incA,
const tLVectorIndex ldA,
const tBoolean isTransA,
const double *  A 
)
pure virtual

compute the symmetric matrix This:=beta.This+alpha op(A).t(op(A))

Parameters
alphaalpha value
betabeta value
nARowsnumber of rows of full A matrix
nAColsnumber of columns of full A matrix
ldamemory distance between A(i,j) & A(i,j+1)
isTransAif (isTransA) op(A)=tA else op(A)=A
Avalues of full matrix A

Implemented in LAP_DoubleFullSymmetricMatrix, LAP_DoublePackedSymmetricMatrix, and LAP_DoubleBandedSymmetricMatrix.

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
jcolumn of the element
vvalue to set
static void CORE_Object::setOutput ( ostream &  out)
inlinestaticinherited

set output

virtual void LAP_Matrix::setSize ( const tLVectorIndex n,
const tLVectorIndex p 
)
inlinevirtualinherited
virtual void LAP_Matrix::setSize ( const tLVectorIndex n)
inlinevirtualinherited
void LAP_DoubleMatrix::setStorage ( SP::LAP_DoubleMatrixStorage  s)
inlineinherited
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
virtual void LAP_DoubleMatrix::setValues ( const tLVectorIndex n,
const double *  values 
)
inlinevirtualinherited
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 SP::LAP_DoubleVector LAP_DoubleMatrix::vectorProduct ( const LAP_DoubleVector X) const
inlinevirtualinherited

compute This. X

Parameters
Xinput 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
Xinput vector
Youtput 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
Xinput vector
Youtput 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
nXsize of X
incXincrement of X (memory distance between X(i) & X(i+1)
XX values of minimum size nX*incX
nYsize of Y
incYincrement of Y (memory distance between Y(i) & Y(i+1)
YY values of minimum size nY*incY

Implemented in LAP_DoubleFullUpperMatrix, LAP_DoubleBandedUpperMatrix, and LAP_DoublePackedUpperMatrix.

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

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

Parameters
freal value
nexponent relative value

return $ \displaystyle f^n $

Member Data Documentation

const tFlag LAP_Matrix::COL =1
staticinherited
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
double LAP_Object::ZERO_EPSILON =1.e-18
staticinherited

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