URANIE::Calibration::TMinimisation Class Reference

Description of the class TMinimisation. More...

#include <TMinimisation.h>

Inheritance diagram for URANIE::Calibration::TMinimisation:

Collaboration diagram for URANIE::Calibration::TMinimisation:

Public Member Functions
Constructor and Destructor
	TMinimisation (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run, int nS=1, Option_t *option="")
	TMinimisation (URANIE::DataServer::TDataServer *tds, void(*fcn)(Double_t *, Double_t *), const char *varexpinput, const char *varexpoutput, int ns=1, Option_t *option="")
	Default Calibration constructor with the function argument: it contains the assessor to be used.
	TMinimisation (URANIE::DataServer::TDataServer *tds, const char *fcn, const char *varexpinput, const char *varexpoutput, int ns=1, Option_t *option="")
	Default Calibration constructor with the function argument: it contains the assessor to be used.
	TMinimisation (URANIE::DataServer::TDataServer *tds, URANIE::Launcher::TCode *fcode, int ns=1, Option_t *option="")
	Default Calibration constructor with the code argument: it contains the assessor to be used.
	~TMinimisation ()
	Default destructor.
Setting and Getting attributs
URANIE::Reoptimizer::TOptimShare *	getOptimMaster ()
Parse the option
virtual void	parseOption (Option_t *option="")
	Read the possible options.
void	computeParameters (Option_t *option="")
	Estimates the index from a Specific TDataServer.
void	checktdsParContent ()
void	printLog (Option_t *option="")
Public Member Functions inherited from URANIE::Calibration::TCalibration
	TCalibration (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run, int ns=1, Option_t *option="")
	Default constructor with the runner argument: it contains the assessor to be used.
	TCalibration (URANIE::DataServer::TDataServer *tds, void(*fcn)(Double_t *, Double_t *), const char *varexpinput, const char *varexpoutput, int ns=1, Option_t *option="")
	Default Calibration constructor with the function argument: it contains the assessor to be used.
	TCalibration (URANIE::DataServer::TDataServer *tds, const char *fcn, const char *varexpinput, const char *varexpoutput, int ns=1, Option_t *option="")
	Default Calibration constructor with the function argument: it contains the assessor to be used.
	TCalibration (URANIE::DataServer::TDataServer *tds, URANIE::Launcher::TCode *fcode, int ns=1, const char *option="")
	Default Calibration constructor with the code argument: it contains the assessor to be used.
virtual	~TCalibration ()
	Default destructor.
virtual void	setDistanceAndReference (const char *funcName, URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *reference, const char *weight="")
	Set the distance function and some needed informations.
virtual void	setDistanceAndReference (URANIE::Calibration::TDistanceFunction *distFunc, URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *reference, const char *weight="")
	Set the distance function and some needed informations.
void	estimateParameters (Option_t *option="")
void	estimateCustomResidues (string resName, int n_theta, double *theta)
void	checkReference (URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *output, const char *weight)
	Check the consistency of the formation provided.
virtual void	drawParameters (TString sTitre, const char *variable="*", const char *select="1>0", Option_t *option="")
void	drawResidues (TString sTitre, const char *variable="*", const char *select="1>0", Option_t *option="")
void	setLog ()
void	unsetLog ()
void	changeLog ()
Bool_t	getLog ()
Int_t	getID ()
void	setSeed (UInt_t nval)
	Set the seed of the random generator if one is used.
UInt_t	getSeed ()
	Get the seed of the random generator if one is used.
const char *	getMethodName ()
	Get the method name.
void	setObservationCovarianceMatrix (TMatrixD &mat)
	Set the observatiton covariance matrix.
URANIE::Calibration::TDistanceFunction *	getDistanceFunction ()
	Return the distance function.
Int_t	getNPar ()
	Get the number of parameters to be calibrated.
URANIE::DataServer::TDataServer *	getEvaluationTDS ()
	Get the tds in which evaluation will be performed.

Public Attributes
Public attributes
URANIE::Relauncher::TRun *	_optimRun
	Optimisation runner.
URANIE::Reoptimizer::TOptimShare *	_optimMaster
	Optimisation runner.
Public Attributes inherited from URANIE::Calibration::TCalibration
URANIE::DataServer::TDataServer *	_tdsPar
	TDS containing parameters properties (parameters that should be calibrated)
URANIE::DataServer::TDataServer *	_tdsObs
	TDS containing observations used for calibration.
URANIE::DataServer::TDataServer *	_tdsEval
	TDS containing a priori / a posteriori evaluations.
ELauncher	_nLauncher
	The type of launcher.
TString	_sFunctionName
	The Name of the evaluatuor.
TString	_sEI
	The Name of input.
TString	_sEO
	The Name of output.
URANIE::Launcher::TCode *	_code
	The tcode.
URANIE::Relauncher::TRun *	_run
	Pointer to the runner to be used.
void(*	_pFunction )(double *, double *)
	Function pointer.
vector< URANIE::DataServer::TStochasticAttribute * >	_vatt
	internal vector of stochastic attribute for some methods

Additional Inherited Members
Public Types inherited from URANIE::Calibration::TCalibration
enum	ELauncher { kCode , kFunction , kRun , kUnknown }
Protected Member Functions inherited from URANIE::Calibration::TCalibration
void	checkCanvasCreation (bool newcan)
	Create a canvas if needed.
void	initInputs ()
	Initialise some common inputs.
void	initResults (vector< string > *ParsedLines)
	Initialise some common inputs.
void	computeAPosterioriForDistribution ()
	Compute the a posteriori residual for many-solutions method.
void	setMethodName (const char *str)
	Set the Method name.
Protected Attributes inherited from URANIE::Calibration::TCalibration
URANIE::Calibration::TDistanceFunction *	_dFunc
	Pointer to chosen distance function.
URANIE::DataServer::TDSNtupleD *	_evTuple
	Pointer to the eval ntuple.
TList *	_listOfParameters
	List of the parameters to be calibrated.
TCanvas *	_canvas
	Canvas object to deal with.
TObjArray *	_drawingGarbageCollector
	Garbage collector for prints.
int	_nSam
	The number of sample in a posteriori distributions.
int	_nObs
	The number of observations in the reference database.
int	_nIterMax
	The maximum number of iteration allowed (meaning total number of code estimation is _nIterMax * _nObs)
int	_nPar
	Dimension of the parameters.
int	_nVar
	Dimension of the output and references to be compared with.
int	_nSeed
	The seed of the random generator.
TString	_sMethodName
	The method name.
TString	_referenceName
	The reference name.
TString	_outputName
	The output name.
vector< string >	_vrefName
	The reference names.
vector< string >	_voutName
	The output names.
TString	_weightName
	The weight name.
TMatrixD	_mObsCovMat
	Observation Covariance matrix.
bool	_buseMatrix
	Use matrix instead of vectors in the Distance Function.
bool	_bsaveAll
	Whether all evaluations should be saved, not only a priori and a posteriori.
bool	_bdontKeepAgreement
	Remove the agreement attribute from the tdsPar object.
bool	_buseMode
	Use Mode instead of Mean.
Bool_t	_blog
	Boolean for edit the log.

Detailed Description

Description of the class TMinimisation.

Constructor & Destructor Documentation

TMinimisation() [1/4]

URANIE::Calibration::TMinimisation::TMinimisation	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Relauncher::TRun *	run,
		int	nS = 1,
		Option_t *	option = ""
	)

Constructor usual where nS is set to be the number of sample produced by the algorithm.

Parameters

tds	the pointer of the TDataServer. It must contains attribuutes that inherit from TStochasticAttribute
run	the runner that would be used to produce evaluations
nS	useless with this respect

Referenced by ClassImp().

TMinimisation() [2/4]

URANIE::Calibration::TMinimisation::TMinimisation	(	URANIE::DataServer::TDataServer *	tds,
		void(*)(Double_t *, Double_t *)	fcn,
		const char *	varexpinput,
		const char *	varexpoutput,
		int	ns = 1,
		Option_t *	option = ""
	)

Default Calibration constructor with the function argument: it contains the assessor to be used.

Parameters

tds	: the dataserver that contains no data but only one attribute per parameter to be calibrated
fcn	: the pointer to a function
ns	: number of sample to be generated (depending on the method)
varexpinput	: the input variable for the function in the correct order (both input and parameters)
varexpoutput	: the output of the function in the correct order

TMinimisation() [3/4]

URANIE::Calibration::TMinimisation::TMinimisation	(	URANIE::DataServer::TDataServer *	tds,
		const char *	fcn,
		const char *	varexpinput,
		const char *	varexpoutput,
		int	ns = 1,
		Option_t *	option = ""
	)

Default Calibration constructor with the function argument: it contains the assessor to be used.

Parameters

tds	: the dataserver that contains no data but only one attribute per parameter to be calibrated
fcn	: the name of the function
ns	: number of sample to be generated (depending on the method)
varexpinput	: the input variable for the function in the correct order (both input and parameters)
varexpoutput	: the output of the function in the correct order

TMinimisation() [4/4]

URANIE::Calibration::TMinimisation::TMinimisation	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Launcher::TCode *	fcode,
		int	ns = 1,
		Option_t *	option = ""
	)

Default Calibration constructor with the code argument: it contains the assessor to be used.

Parameters

tds	: the dataserver that contains no data but only one attribute per parameter to be calibrated
code	: the code object that will be runned
ns	: number of sample to be generated (depending on the method)

~TMinimisation()

URANIE::Calibration::TMinimisation::~TMinimisation

(

)

Default destructor.

Referenced by ClassImp().

Member Function Documentation

checktdsParContent()

void URANIE::Calibration::TMinimisation::checktdsParContent ( )

inlinevirtual

Check the content of the input dataserver

Implements URANIE::Calibration::TCalibration.

computeParameters()

void URANIE::Calibration::TMinimisation::computeParameters ( Option_t *  option = "" )

virtual

Estimates the index from a Specific TDataServer.

Implements URANIE::Calibration::TCalibration.

Referenced by ClassImp().

getOptimMaster()

URANIE::Reoptimizer::TOptimShare * URANIE::Calibration::TMinimisation::getOptimMaster ( )

inline

References _optimMaster.

parseOption()

virtual void URANIE::Calibration::TMinimisation::parseOption ( Option_t *  option = "" )

virtual

Read the possible options.

Reimplemented from URANIE::Calibration::TCalibration.

Referenced by ClassImp().

printLog()

void URANIE::Calibration::TMinimisation::printLog ( Option_t *  option = "" )

virtual

Reimplemented from URANIE::Calibration::TCalibration.

Referenced by ClassImp().

Member Data Documentation

_optimMaster

URANIE::Reoptimizer::TOptimShare* URANIE::Calibration::TMinimisation::_optimMaster

Optimisation runner.

Referenced by ClassImp(), and getOptimMaster().

_optimRun

URANIE::Relauncher::TRun* URANIE::Calibration::TMinimisation::_optimRun

Optimisation runner.

Referenced by ClassImp().