Description of the class TBestEstimate. More...

#include <TBestEstimate.h>

Inheritance diagram for URANIE::Optimizer::TBestEstimate:

Collaboration diagram for URANIE::Optimizer::TBestEstimate:

Public Member Functions
Constructor and Destructor
	TBestEstimate ()
	Empty constructor. More...

	TBestEstimate (Int_t nParam, TMatrixD a, Int_t nResp, TMatrixD m, TMatrixD r, TMatrixD ca, TMatrixD cm, TMatrixD s, TMatrixD car)
	Constructor with only matrices. More...

	TBestEstimate (TDataServer tdsParam, TDataServer tdsMeasures, TDataServer *tdsResponses, TMatrixD sMatrix, TMatrixD carMatrix)
	Constructor with a user given sensitivity matrix. More...

	TBestEstimate (TDataServer tdsParam, TDataServer tdsMeasures, TDataServer tdsResponses, TDataServer tdsOATSampling, TMatrixD carMatrix)
	Constructor with results of an OAT design instead of a sensitivity matrix. More...

virtual	~TBestEstimate ()
	Default destructor. More...

Set/Get parameters
void	setParameterData (TDataServer *tds)

TDataServer *	getParameterData ()

void	setMeasureData (TDataServer *tds)

TDataServer *	getMeasureData ()

void	setResponseData (TDataServer *tds)

TDataServer *	getResponseData ()

void	setOATSamplingData (TDataServer *tds)

TDataServer *	getOATSamplingData ()

void	setSensitivityMatrix (TMatrixD matrix)

TMatrixD	getSensitivityMatrix ()

void	setParameterResponseCovMatrix (TMatrixD matrix)

TMatrixD	getParameterResponseCovMatrix ()

TMatrixD	getParameterMatrix ()

TMatrixD	getMeasureMatrix ()

TMatrixD	getResponseMatrix ()

TMatrixD	getParameterCovMatrix ()

TMatrixD	getMeasureCovMatrix ()

TMatrixD	getResponsesCovMatrix ()

TMatrixD	getDifferencesCovMatrix ()

TMatrixD	getBestEstParameterMatrix ()

TMatrixD	getBestEstResponseMatrix ()

TMatrixD	getBestEstParameterCovMatrix ()

TMatrixD	getBestEstResponsesCovMatrix ()

TMatrixD	getBestEstParameterResponsesCovMatrix ()

Double_t	getChi2 ()

Double_t	getConsistencyMeasure ()

Int_t	getNInputParameter ()

Int_t	getNResponses ()

Int_t	getNTimeStepsInputParameter ()

Int_t	getNTimeStepsResponses ()

Other functions
void	buildMatrices ()

void	buildSensitivityMatrix ()

void	runBestEstimate ()

Printing Log
void	setLog ()
	Print the state of the algorithm of optimization. More...

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

virtual void	printLog (Option_t *option="")

Private Attributes
Bool_t	_blog

TDataServer *	_tdsParam

TDataServer *	_tdsResp

TDataServer *	_tdsMeas

TDataServer *	_tdsOAT

Int_t	_nParam

Int_t	_nResp

Int_t	_nParamTimeSteps

Int_t	_nRespTimeSteps

TMatrixD	_a

TMatrixD	_m

TMatrixD	_r

TMatrixD	_ca

TMatrixD	_cm

TMatrixD	_car

TMatrixD	_s

TMatrixD	_d

TMatrixD	_cr

TMatrixD	_cd

TMatrixD	_aBE

TMatrixD	_rBE

TMatrixD	_caBE

TMatrixD	_crBE

TMatrixD	_carBE

Double_t	_chi2

Detailed Description

Description of the class TBestEstimate.

To be written by the developper.

Constructor & Destructor Documentation

◆ TBestEstimate() [1/4]

URANIE::Optimizer::TBestEstimate::TBestEstimate ( )

Empty constructor.

◆ TBestEstimate() [2/4]

URANIE::Optimizer::TBestEstimate::TBestEstimate	(	Int_t	nParam,
		TMatrixD	a,
		Int_t	nResp,
		TMatrixD	m,
		TMatrixD	r,
		TMatrixD	ca,
		TMatrixD	cm,
		TMatrixD	s,
		TMatrixD	car
	)

Constructor with only matrices.

This constructor receives all the necessary matrices as parameters

Parameters

nParam	(Int_t) number of input parameters.
a	(TMatrixD) the matrix containing the nominal values of the parameters.
nResp	(Int_t) number of responses.
m	(TMatrixD) the matrix containing the measured responses.
r	(TMatrixD) the matrix containing the computed responses.
ca	(TMatrixD) the covariance matrix of the parameters.
cm	(TMatrixD) the covariance matrix of the measured responses.
s	(TMatrixD) the matrix containing the sensitivities of the computed repsonses to each parameter.
car	(TMatrixD) the matrix of the correlation between parameters and responses.

◆ TBestEstimate() [3/4]

URANIE::Optimizer::TBestEstimate::TBestEstimate	(	TDataServer *	tdsParam,
		TDataServer *	tdsMeasures,
		TDataServer *	tdsResponses,
		TMatrixD	sMatrix,
		TMatrixD	carMatrix
	)

Constructor with a user given sensitivity matrix.

This constructor receives a user given sensitivity matrix.

Parameters

tdsParam	(URANIE::DataServer::TDataServer*) the data server containing the nominal values of the parameters and their covariance matrix, if any.
tdsMeasures	(URANIE::DataServer::TDataServer*) the data server containing the measured (experimental) responses and their covariance matrix, if any.
tdsResponses	(URANIE::DataServer::TDataServer*) the data server containing the computed responses.
sMatrix	(TMatrixD) the matrix containing the sensitivities of the computed repsonses to each parameter.
carMatrix	(TMatrixD) the matrix of the correlation between parameters and responses.

◆ TBestEstimate() [4/4]

URANIE::Optimizer::TBestEstimate::TBestEstimate	(	TDataServer *	tdsParam,
		TDataServer *	tdsMeasures,
		TDataServer *	tdsResponses,
		TDataServer *	tdsOATSampling,
		TMatrixD	carMatrix
	)

Constructor with results of an OAT design instead of a sensitivity matrix.

This constructor receives a user given tds with the results of an OAT sampling to build the sensitivity matrix. This is necessary when dealing with time dependent model parameters and responses.

Parameters

tdsParam	(URANIE::DataServer::TDataServer*) the data server containing the nominal values of the parameters and their covariance matrix, if any.
tdsMeasures	(URANIE::DataServer::TDataServer*) the data server containing the measured (experimental) responses and their covariance matrix, if any.
tdsResponses	(URANIE::DataServer::TDataServer*) the data server containing the computed responses.
tdsOATSampling	(URANIE::DataServer::TDataServer*) the data server containing the results of an OAT sampling on time dependent parameters and responses. The sensitivity matrix will be constructed from it.
carMatrix	(TMatrixD) the matrix of the correlation between parameters and responses.

◆ ~TBestEstimate()

virtual URANIE::Optimizer::TBestEstimate::~TBestEstimate ( )

virtual

Default destructor.

Member Function Documentation

◆ buildMatrices()

void URANIE::Optimizer::TBestEstimate::buildMatrices ( )

◆ buildSensitivityMatrix()

void URANIE::Optimizer::TBestEstimate::buildSensitivityMatrix ( )

◆ changeLog()

void URANIE::Optimizer::TBestEstimate::changeLog ( )

inline

◆ getBestEstParameterCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getBestEstParameterCovMatrix ( )

inline

◆ getBestEstParameterMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getBestEstParameterMatrix ( )

inline

◆ getBestEstParameterResponsesCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getBestEstParameterResponsesCovMatrix ( )

inline

◆ getBestEstResponseMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getBestEstResponseMatrix ( )

inline

◆ getBestEstResponsesCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getBestEstResponsesCovMatrix ( )

inline

◆ getChi2()

Double_t URANIE::Optimizer::TBestEstimate::getChi2 ( )

inline

◆ getConsistencyMeasure()

Double_t URANIE::Optimizer::TBestEstimate::getConsistencyMeasure ( )

inline

◆ getDifferencesCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getDifferencesCovMatrix ( )

inline

◆ getLog()

Bool_t URANIE::Optimizer::TBestEstimate::getLog ( )

inline

◆ getMeasureCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getMeasureCovMatrix ( )

inline

◆ getMeasureData()

TDataServer* URANIE::Optimizer::TBestEstimate::getMeasureData ( )

inline

◆ getMeasureMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getMeasureMatrix ( )

inline

◆ getNInputParameter()

Int_t URANIE::Optimizer::TBestEstimate::getNInputParameter ( )

inline

◆ getNResponses()

Int_t URANIE::Optimizer::TBestEstimate::getNResponses ( )

inline

◆ getNTimeStepsInputParameter()

Int_t URANIE::Optimizer::TBestEstimate::getNTimeStepsInputParameter ( )

inline

◆ getNTimeStepsResponses()

Int_t URANIE::Optimizer::TBestEstimate::getNTimeStepsResponses ( )

inline

◆ getOATSamplingData()

TDataServer* URANIE::Optimizer::TBestEstimate::getOATSamplingData ( )

inline

◆ getParameterCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getParameterCovMatrix ( )

inline

◆ getParameterData()

TDataServer* URANIE::Optimizer::TBestEstimate::getParameterData ( )

inline

◆ getParameterMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getParameterMatrix ( )

inline

◆ getParameterResponseCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getParameterResponseCovMatrix ( )

inline

◆ getResponseData()

TDataServer* URANIE::Optimizer::TBestEstimate::getResponseData ( )

inline

◆ getResponseMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getResponseMatrix ( )

inline

◆ getResponsesCovMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getResponsesCovMatrix ( )

inline

◆ getSensitivityMatrix()

TMatrixD URANIE::Optimizer::TBestEstimate::getSensitivityMatrix ( )

inline

◆ printLog()

virtual void URANIE::Optimizer::TBestEstimate::printLog ( Option_t * option = "" )

virtual

◆ runBestEstimate()

void URANIE::Optimizer::TBestEstimate::runBestEstimate ( )

◆ setLog()

void URANIE::Optimizer::TBestEstimate::setLog ( )

inline

Print the state of the algorithm of optimization.

◆ setMeasureData()

void URANIE::Optimizer::TBestEstimate::setMeasureData ( TDataServer * tds )

◆ setOATSamplingData()

void URANIE::Optimizer::TBestEstimate::setOATSamplingData ( TDataServer * tds )

◆ setParameterData()

void URANIE::Optimizer::TBestEstimate::setParameterData ( TDataServer * tds )

◆ setParameterResponseCovMatrix()

void URANIE::Optimizer::TBestEstimate::setParameterResponseCovMatrix ( TMatrixD matrix )

◆ setResponseData()

void URANIE::Optimizer::TBestEstimate::setResponseData ( TDataServer * tds )

◆ setSensitivityMatrix()

void URANIE::Optimizer::TBestEstimate::setSensitivityMatrix ( TMatrixD matrix )

◆ unsetLog()

void URANIE::Optimizer::TBestEstimate::unsetLog ( )

inline

Member Data Documentation

◆ _a

TMatrixD URANIE::Optimizer::TBestEstimate::_a

private

◆ _aBE

TMatrixD URANIE::Optimizer::TBestEstimate::_aBE

private

◆ _blog

Bool_t URANIE::Optimizer::TBestEstimate::_blog

private

◆ _ca

TMatrixD URANIE::Optimizer::TBestEstimate::_ca

private

◆ _caBE

TMatrixD URANIE::Optimizer::TBestEstimate::_caBE

private

◆ _car

TMatrixD URANIE::Optimizer::TBestEstimate::_car

private

◆ _carBE

TMatrixD URANIE::Optimizer::TBestEstimate::_carBE

private

◆ _cd

TMatrixD URANIE::Optimizer::TBestEstimate::_cd

private

◆ _chi2

Double_t URANIE::Optimizer::TBestEstimate::_chi2

private

◆ _cm

TMatrixD URANIE::Optimizer::TBestEstimate::_cm

private

◆ _cr

TMatrixD URANIE::Optimizer::TBestEstimate::_cr

private

◆ _crBE

TMatrixD URANIE::Optimizer::TBestEstimate::_crBE

private

◆ _d

TMatrixD URANIE::Optimizer::TBestEstimate::_d

private

◆ _m

TMatrixD URANIE::Optimizer::TBestEstimate::_m

private

◆ _nParam

Int_t URANIE::Optimizer::TBestEstimate::_nParam

private

◆ _nParamTimeSteps

Int_t URANIE::Optimizer::TBestEstimate::_nParamTimeSteps

private

◆ _nResp

Int_t URANIE::Optimizer::TBestEstimate::_nResp

private

◆ _nRespTimeSteps

Int_t URANIE::Optimizer::TBestEstimate::_nRespTimeSteps

private

◆ _r

TMatrixD URANIE::Optimizer::TBestEstimate::_r

private

◆ _rBE

TMatrixD URANIE::Optimizer::TBestEstimate::_rBE

private

◆ _s

TMatrixD URANIE::Optimizer::TBestEstimate::_s

private

◆ _tdsMeas

TDataServer* URANIE::Optimizer::TBestEstimate::_tdsMeas

private

◆ _tdsOAT

TDataServer* URANIE::Optimizer::TBestEstimate::_tdsOAT

private

◆ _tdsParam

TDataServer* URANIE::Optimizer::TBestEstimate::_tdsParam

private

◆ _tdsResp

TDataServer* URANIE::Optimizer::TBestEstimate::_tdsResp

private

Documentation / Manuel développeur

Modules disponibles

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ TBestEstimate() [1/4]

◆ TBestEstimate() [2/4]

◆ TBestEstimate() [3/4]

◆ TBestEstimate() [4/4]

◆ ~TBestEstimate()

Member Function Documentation

◆ buildMatrices()

◆ buildSensitivityMatrix()

◆ changeLog()

◆ getBestEstParameterCovMatrix()

◆ getBestEstParameterMatrix()

◆ getBestEstParameterResponsesCovMatrix()

◆ getBestEstResponseMatrix()

◆ getBestEstResponsesCovMatrix()

◆ getChi2()

◆ getConsistencyMeasure()

◆ getDifferencesCovMatrix()

◆ getLog()

◆ getMeasureCovMatrix()

◆ getMeasureData()

◆ getMeasureMatrix()

◆ getNInputParameter()

◆ getNResponses()

◆ getNTimeStepsInputParameter()

◆ getNTimeStepsResponses()

◆ getOATSamplingData()

◆ getParameterCovMatrix()

◆ getParameterData()

◆ getParameterMatrix()

◆ getParameterResponseCovMatrix()

◆ getResponseData()

◆ getResponseMatrix()

◆ getResponsesCovMatrix()

◆ getSensitivityMatrix()

◆ printLog()

◆ runBestEstimate()

◆ setLog()

◆ setMeasureData()

◆ setOATSamplingData()

◆ setParameterData()

◆ setParameterResponseCovMatrix()

◆ setResponseData()

◆ setSensitivityMatrix()

◆ unsetLog()

Member Data Documentation

◆ _a

◆ _aBE

◆ _blog

◆ _ca

◆ _caBE

◆ _car

◆ _carBE

◆ _cd

◆ _chi2

◆ _cm

◆ _cr

◆ _crBE

◆ _d

◆ _m

◆ _nParam

◆ _nParamTimeSteps

◆ _nResp

◆ _nRespTimeSteps

◆ _r

◆ _rBE

◆ _s

◆ _tdsMeas

◆ _tdsOAT

◆ _tdsParam

◆ _tdsResp