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Uranie / Sampler v4.9.0

/* @license-end */

#include <TDistribution.h>

Inheritance diagram for TDistribution:

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Collaboration diagram for TDistribution:

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Public Member Functions
	TDistribution ()

	TDistribution (TVectorD M, TMatrixD A)

void	initialisation (TVectorD M, TMatrixD A)

	~TDistribution ()

TNtupleD *	getTuple ()

void	setTaille (Int_t n)

TRandom3 *	getRandom ()

Int_t	getTaille ()

Int_t	getDim ()

TVectorD	getMean ()

TVectorD	getSigma ()

TMatrixD	getMatEcartTypeCorrelation ()

TMatrixD	getMatCorrelation ()

TMatrixD	getMatCovariance ()

void	setMean (TVectorD M)

void	setMatEcartTypeCorrelation (TMatrixD A)

void	setProb (Double_t proba)

Double_t	getProb ()

void	simulation ()

void	verification ()

	ClassDef (TDistribution, ID_SAMPLER)

Protected Attributes
TRandom3 *	_rdm
	Generator of random number.

Double_t	_dprob
	Weight of the distribution.

Int_t	_taille
	Sample size.

TNtupleD *	_vect
	Tuple where simulated samples are stored.

Int_t	_dim
	Dimension of the distribution.

TVectorD	_vectMean
	Mean value of the distribution.

TMatrixD	_matEcartTypeCorr
	"_matEcartTypeCorr" represents the $\sigma_i$ along the diagonal and $\rho_{i,j}$ elsewhere. Be careful the matrix must be symmetric

Constructor & Destructor Documentation

◆ TDistribution() [1/2]

TDistribution::TDistribution ( )

◆ TDistribution() [2/2]

TDistribution::TDistribution	(	TVectorD	M,
		TMatrixD	A
	)

References _dim, _vect, and initialisation().

◆ ~TDistribution()

TDistribution::~TDistribution ( )

References _rdm, and _vect.

Member Function Documentation

◆ ClassDef()

TDistribution::ClassDef	(	TDistribution	,
		ID_SAMPLER
	)

◆ getDim()

Int_t TDistribution::getDim ( )

References _dim.

Referenced by TNormale::acceptationRejet(), TMelange::addLoi(), TNormale::getObs(), TMCMC::getObs(), TMCMC::gibbsSampling(), TMCMC::randomWalkMetropolisSampling(), TNormale::simulationPolaire(), and TMCMC::varTimeMetropolisSampling().

◆ getMatCorrelation()

TMatrixD TDistribution::getMatCorrelation ( )

References _matEcartTypeCorr.

Referenced by TMelange::getMatCorrelation().

◆ getMatCovariance()

TMatrixD TDistribution::getMatCovariance ( )

References _matEcartTypeCorr, and getMatEcartTypeCorrelation().

Referenced by TNormale::eval(), TMelange::getMatCovariance(), TMCMC::getObs(), TNormale::getObsMultiDim(), and TMCMC::gibbsSampling().

◆ getMatEcartTypeCorrelation()

TMatrixD TDistribution::getMatEcartTypeCorrelation ( )

References _matEcartTypeCorr.

Referenced by getMatCovariance(), TMelange::getMatEcartTypeCorrelation(), TMCMC::randomWalkMetropolisSampling(), and TNormale::vectCentreReduit().

◆ getMean()

TVectorD TDistribution::getMean ( )

References _vectMean.

Referenced by TNormale::eval(), TMelange::getMean(), TMCMC::getObs(), TNormale::getObsMultiDim(), TMCMC::gibbsSampling(), TMCMC::varTimeMetropolisSampling(), and TNormale::vectCentreReduit().

◆ getProb()

Double_t TDistribution::getProb ( )

inline

References _dprob.

Referenced by TMelange::getProb(), and TMelange::getSeuil().

◆ getRandom()

TRandom3 * TDistribution::getRandom ( )

inline

References _rdm.

Referenced by TMCMC::randomWalkMetropolisSampling(), TMCMC::randomWalkMetropolisSampling(), TMCMC::varTimeMetropolisSampling(), and TMCMC::varTimeMetropolisSampling().

◆ getSigma()

TVectorD TDistribution::getSigma ( )

References _matEcartTypeCorr.

Referenced by TMelange::getSigma(), and TMCMC::varTimeMetropolisSampling().

◆ getTaille()

Int_t TDistribution::getTaille ( )

inline

References _taille.

◆ getTuple()

TNtupleD * TDistribution::getTuple ( )

inline

References _vect.

Referenced by TMCMC::gibbsSampling(), TMCMC::randomWalkMetropolisSampling(), TMelange::simulationMelange(), and TMCMC::varTimeMetropolisSampling().

◆ initialisation()

void TDistribution::initialisation	(	TVectorD	M,
		TMatrixD	A
	)

References _dim, _dprob, _matEcartTypeCorr, _rdm, _taille, and _vectMean.

Referenced by ClassImp(), ClassImp(), TDistribution(), and TNormale::TNormale().

◆ setMatEcartTypeCorrelation()

void TDistribution::setMatEcartTypeCorrelation ( TMatrixD A )

References _dim, _matEcartTypeCorr, _vectMean, and verification().

Referenced by TMelange::discrimination(), TMelange::eval(), TMelange::eval(), TMCMC::getObs(), TMCMC::gibbsSampling(), TMCMC::gibbsSampling(), TMelange::LoiDeZ(), TMCMC::NKCSampling(), TMCMC::NKCSampling2(), TMCMC::randomWalkMetropolisSampling(), TMCMC::randomWalkMetropolisSampling(), TMCMC::varTimeMetropolisSampling(), TMCMC::varTimeMetropolisSampling(), and TNormale::vectCentreReduit().

◆ setMean()

void TDistribution::setMean ( TVectorD M )

References _dim, _matEcartTypeCorr, _vectMean, and verification().

Referenced by TMelange::discrimination(), TMelange::eval(), TMelange::eval(), TMCMC::getObs(), TMCMC::gibbsSampling(), TMCMC::gibbsSampling(), TMelange::LoiDeZ(), TMCMC::NKCSampling(), TMCMC::NKCSampling2(), TMCMC::randomWalkMetropolisSampling(), TMCMC::randomWalkMetropolisSampling(), TMCMC::varTimeMetropolisSampling(), TMCMC::varTimeMetropolisSampling(), and TNormale::vectCentreReduit().

◆ setProb()

void TDistribution::setProb ( Double_t proba )

inline

References _dprob.

Referenced by TMelange::addLoi(), and TMelange::remplacer().

◆ setTaille()

void TDistribution::setTaille ( Int_t n )

References _taille.

Referenced by TMelange::simulationMelange().

◆ simulation()

void TDistribution::simulation ( )

◆ verification()

void TDistribution::verification ( )

References _matEcartTypeCorr, and _vectMean.

Referenced by setMatEcartTypeCorrelation(), and setMean().

Member Data Documentation

◆ _dim

Int_t TDistribution::_dim

protected

Dimension of the distribution.

Referenced by TNormale::eval(), TNormale::eval(), getDim(), TNormale::getObsMultiDim(), initialisation(), setMatEcartTypeCorrelation(), setMean(), TNormale::simVectGaussien(), TDistribution(), TNormale::TNormale(), and TNormale::vectCentreReduit().

◆ _dprob

Double_t TDistribution::_dprob

protected

Weight of the distribution.

Referenced by getProb(), initialisation(), and setProb().

◆ _matEcartTypeCorr

TMatrixD TDistribution::_matEcartTypeCorr

protected

"_matEcartTypeCorr" represents the $\sigma_i$ along the diagonal and $\rho_{i,j}$ elsewhere. Be careful the matrix must be symmetric

Referenced by TNormale::acceptationRejet(), TNormale::eval(), getMatCorrelation(), getMatCovariance(), getMatEcartTypeCorrelation(), TNormale::getObs(), getSigma(), initialisation(), setMatEcartTypeCorrelation(), setMean(), TNormale::simulationPolaire(), and verification().

◆ _rdm

TRandom3* TDistribution::_rdm

protected

Generator of random number.

Referenced by TNormale::acceptationRejet(), TNormale::getObs(), getRandom(), initialisation(), TNormale::simulationPolaire(), and ~TDistribution().

◆ _taille

Int_t TDistribution::_taille

protected

Sample size.

Referenced by TNormale::acceptationRejet(), getTaille(), initialisation(), setTaille(), TNormale::simulationPolaire(), and TNormale::simVectGaussien().

◆ _vect

TNtupleD* TDistribution::_vect

protected

Tuple where simulated samples are stored.

Referenced by TNormale::acceptationRejet(), getTuple(), TNormale::simulationPolaire(), TNormale::simVectGaussien(), TDistribution(), TNormale::TNormale(), and ~TDistribution().

◆ _vectMean

TVectorD TDistribution::_vectMean

protected

Mean value of the distribution.

Referenced by TNormale::acceptationRejet(), TNormale::eval(), getMean(), TNormale::getObs(), initialisation(), setMatEcartTypeCorrelation(), setMean(), TNormale::simulationPolaire(), and verification().