Kratos::RandomInitializeUtility< TDataType > Class Template Reference

Utility to initialize a random vector. More...

#include <random_initializer_utility.h>

Collaboration diagram for Kratos::RandomInitializeUtility< TDataType >:

Public Types
Type Definitions
typedef UblasSpace< TDataType, CompressedMatrix, boost::numeric::ublas::vector< double > >	SparseSpaceType
typedef UblasSpace< TDataType, Matrix, Vector >	LocalSpaceType
typedef SparseSpaceType::MatrixType	SparseMatrixType
typedef SparseSpaceType::VectorType	VectorType
typedef LocalSpaceType::MatrixType	DenseMatrixType
typedef LocalSpaceType::VectorType	DenseVectorType
typedef std::size_t	SizeType

Static Public Member Functions
Operations
static void	NormalDestributionRandom (VectorType &R, const TDataType &MeanValue, const TDataType &VarianceValue)
	This method initializes a vector using a normal normal distribution. More...
static void	RandomInitialize (const SparseMatrixType &K, VectorType &R, const bool Inverse=false)
	This method initializes a vector using a normal distribution. The mean and the variance is taken from the norm of the matrix. More...

Detailed Description

template<class TDataType>
class Kratos::RandomInitializeUtility< TDataType >

Utility to initialize a random vector.

Defines several utility functions related with the initialization of random matrixes. The class can be adapted for several types of floating numbers via template

Author

Vicente Mataix Ferrandiz

Member Typedef Documentation

DenseMatrixType

template<class TDataType >

typedef LocalSpaceType::MatrixType Kratos::RandomInitializeUtility< TDataType >::DenseMatrixType

DenseVectorType

template<class TDataType >

typedef LocalSpaceType::VectorType Kratos::RandomInitializeUtility< TDataType >::DenseVectorType

LocalSpaceType

template<class TDataType >

typedef UblasSpace<TDataType, Matrix, Vector> Kratos::RandomInitializeUtility< TDataType >::LocalSpaceType

SizeType

template<class TDataType >

typedef std::size_t Kratos::RandomInitializeUtility< TDataType >::SizeType

SparseMatrixType

template<class TDataType >

typedef SparseSpaceType::MatrixType Kratos::RandomInitializeUtility< TDataType >::SparseMatrixType

SparseSpaceType

template<class TDataType >

typedef UblasSpace<TDataType, CompressedMatrix, boost::numeric::ublas::vector<double> > Kratos::RandomInitializeUtility< TDataType >::SparseSpaceType

VectorType

template<class TDataType >

typedef SparseSpaceType::VectorType Kratos::RandomInitializeUtility< TDataType >::VectorType

Member Function Documentation

NormalDestributionRandom()

template<class TDataType >

static void Kratos::RandomInitializeUtility< TDataType >::NormalDestributionRandom ( VectorType &  R, const TDataType &  MeanValue, const TDataType &  VarianceValue  )

inlinestatic

This method initializes a vector using a normal normal distribution.

Parameters

R	The vector to fill with random values
MeanValue	The mean value used in the normal distribution
VarianceValue	The variance value used in the normal distribution

RandomInitialize()

template<class TDataType >

static void Kratos::RandomInitializeUtility< TDataType >::RandomInitialize ( const SparseMatrixType &  K, VectorType &  R, const bool  Inverse = false  )

inlinestatic

This method initializes a vector using a normal distribution. The mean and the variance is taken from the norm of the matrix.

Parameters

K	The stiffness matrix
R	The vector to initialize
Inverse	If consider the inverse pf the matrix norm or not

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

• /home/runner/work/Documentation/Documentation/master/kratos/utilities/random_initializer_utility.h