Description of the class TAnisp. More...

#include <TAnisp.h>

Inheritance diagram for URANIE::Modeler::TAnisp:

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Collaboration diagram for URANIE::Modeler::TAnisp:

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Public Types
enum	ANISP_TYPE { kAnalyticalFunction , kCode }
	Enum for TCode or analytical function. More...

Public Member Functions
Constructor and Destructor
	TAnisp (TDataServer tds, void(analyticalFunction)(Double_t , Double_t ), const char fname, TString sinput="", TString soutput="", Option_t option="")
	Construct an instance of the TAnisp object from a TDataServer object and a void * (analytical function)

	TAnisp (TDataServer tds, const char analyticalFunction, TString sinput="", TString soutput="", Option_t *option="")
	Construct an instance of the TAnisp object from a TDataServer object and a void * (analytical function)

	TAnisp (TDataServer tds, TCode code, Option_t *option="")
	Construct an instance of the TAnisp object from a TDataServer object and a TCode object.

virtual	~TAnisp ()
	Destructor.

Export the model in extrenal langage
void	exportModelCplusplus (std::ofstream *sourcefile) const
	Export the model in C++ langage in a file.

void	exportModelFortran (std::ofstream *sourcefile) const
	Export the model in Fortran langage in a file (not yet implemented)

void	exportModelPMML (const char file="", const char name="", Option_t *option="") const
	Export the model in a PMML file (not yet implemented)

void	exportModelPython (std::ofstream *sourcefile) const
	Export the model in Python langage in a file (not yet implemented)

Printing Log
virtual void	printLog (Option_t *option="")
	Print log.

Setter and getter functions
void	setKMin (Int_t kmin)
	Set the value of the _nKMin attribute to "kmin".

Int_t	getKMin ()
	Get the order of interaction for adaptative integration.

void	setTolerance (Double_t tol)
	Set the tolerance for the adaptative integration.

Double_t	getTolerance ()
	Get the tolerance for the adaptative integration.

void	setNumberMaxOfSimulations (Int_t nmos)
	Set the criterion of maximum number of simulations before stopping the adaptative integration.

Int_t	getNumberMaxOfSimulations ()
	Get the criterion of maximum number of simulations before stopping the adaptative integration.

void	setGreaterIndice (Int_t greatInd)
	Set the greater value possible for an indice.

Int_t	getGreaterIndice ()
	Get the greater value possible for an indice.

void	setMaxIndices (Int_t maxInd)
	Set the number maximum of indices for the integration.

Int_t	getMaxIndices ()
	Get the number maximum of indices for the integration.

void	setDegreeMax (Int_t degMax)
	Set the degree maximum for the Polynomial Chaos expansion.

Int_t	getDegreeMax ()
	Get the degree maximum for the Polynomial Chaos expansion.

Int_t	getCible ()
	Get the ANISP_TYPE which indicates if ANISP approximate a code (TCode) or a function (void *)

Int_t	getIterationNumber ()
	Get the number of iteration of the integration algorithm.

void	setlog (Bool_t blog)
	Set the _blog parameter.

void	setRootFilename (TString rootName)
	Set the root name of the output files of the Anisp library.

TString	getRootFilename ()
	Get the root name of the output files of the Anisp library.

TNtupleD *	getErrorIndicator ()
	Get the list of error indicators.

TNtupleD *	getIntegrationIndices ()
	Get the list of integration indices.

TPolynomialChaos	getTPolynomialChaos ()
	Get the TPolynomialChaos computed by the Anisp method.

TString	getVariablesName (TString inputs="")
	Get a TString containing the name of all attributes separated by ':'.

Anisp library files
TString	getDataAnispFile () const
	Get the Anisp intern data file name.

TString	getResultFile () const
	Get the computed polynomial coefficients file name.

TString	getStochasticFile () const
	Get the stochastic points file name.

TString	getErrorIndicatorFile () const
	Get the error indicator values file name.

TString	getIndicesFile () const
	Get the integration indices file name.

Set parameters functions
void	setAllAnispParameters (Double_t tol, Int_t kmin, Int_t nmos, Int_t greatInd, Int_t maxInd, Bool_t blog, Int_t degMax, TString rootName)
	Set all the Anisp parameters.

void	setAnispParameters (Double_t tol, Int_t kmin, Int_t nmos, Int_t greatInd, Int_t maxInd, Bool_t blog)
	Set most of the Anisp parameters.

void	setLightAnispParameters (Double_t tol, Int_t kmin, Int_t nmos)
	Set the Anisp calcul parameters.

Public Member Functions inherited from URANIE::Modeler::TModeler
	TModeler (URANIE::DataServer::TDataServer tds, TString architecture, Option_t option="")
	Constructor with a dataserver.

	TModeler (URANIE::DataServer::TDataServer tds, const char varexpinput, const char varexpoutput, Option_t option="")
	Default constructor with input and output attributes.

virtual	~TModeler ()
	Default destructor.

TVectorD	getParameters ()
	Return the parameter vector of the model.

Double_t	getR2 () const
	Return the R2 quality.

const char *	getInputName (Int_t i) const
	Return the name of input attributes.

const char *	getOutputName (Int_t i=0)
	Return the name of output attribute.

Int_t	getNInput ()
	Gets the number of input.

Bool_t	getIntercept ()
	Gets the boolean attribut _bIntercept.

void	setDrawProgressBar (Bool_t bbool=kTRUE)
	Set the "draw progress bar" flag.

Bool_t	getDrawProgressBar ()
	Get the "draw progress bar" flag.

void	train (Option_t *option="text")

virtual void	exportFunction (const char lang, const char file="", const char name="", Option_t option="")
	Export the model in an external file with a specified langage.

void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

Private Attributes
TObjArray *	_drawingGarbageCollector
	Garbage collector list for drawing.

Double_t	_dTolerance
	Tolerance of the adaptative integration algorithm.

Int_t	_nKMin
	Order minimum of interaction for the adaptative integration.

Int_t	_nNumberMaxOfSimulations
	Stop criterion of the adaptative integration algorithm based of the number of simulations.

Int_t	_nGreaterIndice
	Greater value possible for an indice.

Int_t	_nMaxIndices
	Number maximum of indices of integration (memory size)

Int_t	_nDegreeMax
	Degree maximum possible for the Polynomial Chaos expansion.

TString	_sRootFilename
	Root of the output files name.

TString	_sLaws
	Laws of probability for each variable.

Int_t	_nIterationNumber
	Number of iteration of adaptative integration algorithm.

TLauncherFunction *	_tAnalyticalFunction
	Object of type TLauncherFunction.

TCode *	_Code
	Object of type TCode.

TLauncher *	_tlauncher
	Object of type TLauncher.

ANISP_TYPE	_nCible
	Variable containing the ANISP_TYPE.

TPolynomialChaos *	_tpc
	Object of type TPolynomialChaos.

TNisp *	_nisp
	Object of type TNisp.

TNtupleD *	_tErrorIndicator
	List of error indicators from the integration algorithm.

TNtupleD *	_tIntegrationIndices
	List of integration indices.

Int_t	_nNumberOfLaunching
	Number of use of the launchCalculs method.

Int_t	_nNumberOfPoints
	Number of computed points.

TString	_sinput
	Names of the input arguments.

TString	_soutput
	Names of the output arguments.

TDataServer *	_tdsAnisp
	Object of type TDataServer which contains all the launchs data.

void(*	_analyticalFunction )(Double_t , Double_t )
	analytical function

TString	_sFunctionName
	name of the analytical function

Int_t	_ninputs
	number of stochastic inputs

Int_t	_nUranieAnisp
	number of launching of the ANISP method

TString	_sLaunchNumber
	name of the TAttribute containing the number of launching

Friends
void	StepByStepOutput (Double_t val, vector< Int_t > indices)
	Friend function to pass to the anisp function.

void	functionLauncher (vector< Double_t * > ptEXp)
	Friend function which launchs the calculs.

Run the ANISP method
void	runAnisp ()
	Run the Anisp method to compute a Polynomial Chaos expansion.

void	restartAnisp ()
	Restart the Anisp method to compute a Polynomial Chaos expansion from a previous calcul.

void	initialize ()
	Initialize attributes of the TAnisp object.

void	addErrorIndicator (Double_t *errInd)
	Add an error indicator to _tErrorIndicator.

void	addIntegrationIndices (Double_t *ind)
	Add an error indicator to _tIntegrationIndices.

void	launchCalculs (vector< Double_t * > ptExp)
	Launch batchs of calculs during the numerical integration step of the ANISP method.

void	EndIterationActions (Double_t errIndicator, vector< Double_t > integrationIndices)
	Run at the end of an iteration of the integration algorithm and exploit the integration indices and error indicators to show graphical output of the progress of the ANISP method

void	changeOfVariable (Double_t *x)
	Do a changement of variable to change standart stochastic values into the problem uncertain values.

void	setTPolynomialChaos ()
	Open the result file of the Anisp library and use the coefficients stored there to create a TPolynomialChaos object and set its coefficients.

Additional Inherited Members
Public Attributes inherited from URANIE::Modeler::TModeler
Bool_t	_blog
	Boolean for edit the log.

Bool_t	_bdrawProgressBar
	Boolean to know if the progress bar has to be drawn.

Bool_t	_bStoreYHat
	Boolean to specify if we add the \hat{} attribute in the TDS [default kTRUE].

URANIE::DataServer::TDataServer *	_tds

Int_t	_nS
	Pointer to a TDS.

TString	_sInputAttributes
	The string of input attributes (separated by the character ":".

TString	_sOutputAttributes
	The string of output attributes (separated by the character ":".

TString	_sIntermediateArchitecture
	The intermediate (between the first and last character ",") information.

TList *	_listOfInputAttributes
	The list of input Leaf.

TList *	_listOfOutputAttributes
	The list of output Leaf.

Int_t	_nX
	The number of input attributes.

Int_t	_nY
	The number of output attributes.

TString	_sFileName
	The name of the file when export the model without extension.

TString	_sFunctionName
	The name of the function when export the model.

TVectorD	_parameterValues
	The list of parameters.

Double_t	_dr2
	The R2 quality.

Bool_t	_bIntercept
	For certain models, add the intercept (Default is TRUE)

Detailed Description

Description of the class TAnisp.

A wrapper class for the Anisp library which permit to interface the Anisp library with the URANIE platform. The Anisp library is a research code which uses the ANISP method developped by the CEA to approximate the Polynomial Chaos expansion using adaptive numerical integration and selecting an adapted and smaller Polynomial Chaos basis.

Polynomial Chaos expansion for uncertainty propagation in numerical simulation

Let's consider a model of the form $\mathcal{M}(D,y)=0$ where represent the datas and the scalar output of the model. In the deterministic case is certain and so is . Now, we consider the stochastic case where is uncertain and we express that by putting the datas that depend of a stochactic event $\omega$ . The model of the stochastic case is thus

$\begin{equation} \mathcal{M}(D(\omega),y(\omega)) = 0, \end{equation}$

and the output is now an uncertain variable.

Knowing the uncertainties on the datas, we want to propagate them to know the uncertainty of the output. The approach chosen is to parametrize these uncertainties by using a finite vector of independent random variables :

$\begin{equation} \mbox{\boldmath$\xi$} (\omega) =(\xi_1(\omega), \ldots, \xi_d(\omega)) \end{equation}$

and so our model becomes:

$\begin{equation} \mathcal{M}(D(\mbox{\boldmath$\xi$}(\omega)),y(\mbox{\boldmath$\xi$}(\omega))) = 0. \end{equation}$

From now on we will stop writing the dependence on $\omega$ .

All random variable with a finite variance is equal to an infinite Polynomial Chaos expansion:

$\begin{equation} y(\mbox{\boldmath$\xi$}) = \sum_{k=0}^{\infty} y_k \Psi_k(\mbox{\boldmath$\xi$}), \end{equation}$

where $\Psi_k$ are orthonormal polynomials and

$\begin{equation} y_{k} = \frac{\left< y, \Psi_{k} \right> } { \| \Psi_{k}\|^2 } \mbox{ with } \left< X,Y \right> = E(XY) \mbox{ and } \| \Psi_{k}\| = 1, \end{equation}$

so,

$\begin{equation} y_{k} = E( y \Psi_{k} ) = \int_{\Omega_d} y(\mbox{\boldmath$\xi$})\Psi_{k}(\mbox{\boldmath$\xi$}) pdf(\mbox{\boldmath$\xi$}) d\mbox{$\boldmath{\xi}$} . \end{equation}$

The ANISP method consist to approximate this infinite polynomial expansion by a finite adapted polynomial expansion where the polynomial coefficients are computed by using adaptive numerical integration. The integration algorithm used is adaptive cubature algorithm.

The strong points of this method are that it automates the construction of a adapted cubature formula for numerical integration, the selection of finite and adapted set of polynomials and the computation of the coefficients.

Description of the links between the methods of the TAnips class.

The two constructors call the method initialize :

The runAnisp and restartAnisp methods, which are the core of this class as they call the anisp function of the Anisp library, activate indirectly the call of several methods:

Member Enumeration Documentation

◆ ANISP_TYPE

enum URANIE::Modeler::TAnisp::ANISP_TYPE

Enum for TCode or analytical function.

Enumerator
kAnalyticalFunction
kCode

Constructor & Destructor Documentation

◆ TAnisp() [1/3]

URANIE::Modeler::TAnisp::TAnisp	(	TDataServer *	tds,
		void()(Double_t , Double_t *)	analyticalFunction,
		const char *	fname,
		TString	sinput = `""`,
		TString	soutput = `""`,
		Option_t *	option = `""`
	)

Construct an instance of the TAnisp object from a TDataServer object and a void * (analytical function)

Parameters

tds	: pointer to a TDataServer object
analyticalFunction	: void * (analytical function)
sinput	: TString value containing the names of the inputs variables
soutput	: TString value containing the name of the unique output variable
option	: pointer to Option_t value

Referenced by ClassImp().

◆ TAnisp() [2/3]

URANIE::Modeler::TAnisp::TAnisp	(	TDataServer *	tds,
		const char *	analyticalFunction,
		TString	sinput = `""`,
		TString	soutput = `""`,
		Option_t *	option = `""`
	)

Construct an instance of the TAnisp object from a TDataServer object and a void * (analytical function)

Parameters

tds	: pointer to a TDataServer object
analyticalFunction	: const char* (name of the analytical function)
sinput	: TString value containing the names of the inputs variables
soutput	: TString value containing the name of the unique output variable
option	: pointer to Option_t value

◆ TAnisp() [3/3]

URANIE::Modeler::TAnisp::TAnisp	(	TDataServer *	tds,
		TCode *	code,
		Option_t *	option = `""`
	)

Construct an instance of the TAnisp object from a TDataServer object and a TCode object.

Parameters

tds	: pointer to a TDataServer object
code	: pointer to a TCode object
option	: pointer to Option_t value

◆ ~TAnisp()

virtual URANIE::Modeler::TAnisp::~TAnisp ( )

virtual

Destructor.

Destruct an instance of TAnisp object.

Referenced by ClassImp().

Member Function Documentation

◆ addErrorIndicator()

void URANIE::Modeler::TAnisp::addErrorIndicator ( Double_t * errInd )

inlineprivate

Add an error indicator to _tErrorIndicator.

this vector contains 2 columns of double

number of simulations
value of the error indicator

Parameters

errInd : pointer to a Double_t containing a number of simulations and a value of the error indicator

References _tErrorIndicator.

Referenced by ClassImp().

◆ addIntegrationIndices()

void URANIE::Modeler::TAnisp::addIntegrationIndices ( Double_t * ind )

inlineprivate

Add an error indicator to _tIntegrationIndices.

this vector contains one column by uncertain variable

Parameters

ind	: pointer to a Double_t fill with the values of a multi-indice

References _tIntegrationIndices.

Referenced by ClassImp().

◆ changeOfVariable()

void URANIE::Modeler::TAnisp::changeOfVariable ( Double_t * x )

private

Do a changement of variable to change standart stochastic values into the problem uncertain values.

Parameters

x	: pointer to a Double_t

Referenced by ClassImp().

◆ EndIterationActions()

void URANIE::Modeler::TAnisp::EndIterationActions	(	Double_t *	errIndicator,
		vector< Double_t * >	integrationIndices
	)

private

Run at the end of an iteration of the integration algorithm and exploit the integration indices and error indicators to show graphical output of the progress of the ANISP method

Parameters

errIndicator	: pointer to a Double_t fill with the values of a multi-indice
integrationIndices	: vector of Double_t * which contains the iterator number, the value of the point where the calcul is launched, the result of this calcul and the number of running of the ANISP method

Referenced by ClassImp().

◆ exportModelCplusplus()

void URANIE::Modeler::TAnisp::exportModelCplusplus ( std::ofstream * sourcefile ) const

virtual

Export the model in C++ langage in a file.

Warning: Don't use this method. Use the main method TModeler::exportFunction.

Parameters

sourcefile (ofstream *) the pointer to the file to export the modeler.

Implements URANIE::Modeler::TModeler.

Referenced by ClassImp().

◆ exportModelFortran()

void URANIE::Modeler::TAnisp::exportModelFortran ( std::ofstream * sourcefile ) const

inlinevirtual

Export the model in Fortran langage in a file (not yet implemented)

Warning: Don't use this method. Use the main method TModeler::exportFunction.

Parameters

sourcefile (ofstream *) the pointer to the file to export the modeler.

Implements URANIE::Modeler::TModeler.

◆ exportModelPMML()

void URANIE::Modeler::TAnisp::exportModelPMML	(	const char *	file = `""`,
		const char *	name = `""`,
		Option_t *	option = `""`
	)		const

inlinevirtual

Export the model in a PMML file (not yet implemented)

Warning: Don't use this method. Use the main method TModeler::exportFunction.

Parameters

sourcefile (ofstream *) the pointer to the file to export the modeler.

Implements URANIE::Modeler::TModeler.

◆ exportModelPython()

void URANIE::Modeler::TAnisp::exportModelPython ( std::ofstream * sourcefile ) const

inlinevirtual

Export the model in Python langage in a file (not yet implemented)

Warning: Don't use this method. Use the main method TModeler::exportFunction.

Parameters

sourcefile (ofstream *) the pointer to the file to export the modeler.

Implements URANIE::Modeler::TModeler.

◆ getCible()

Int_t URANIE::Modeler::TAnisp::getCible ( )

inline

Get the ANISP_TYPE which indicates if ANISP approximate a code (TCode) or a function (void *)

Returns: the ANISP_TYPE of the _nCible attribute

References _nCible.

◆ getDataAnispFile()

TString URANIE::Modeler::TAnisp::getDataAnispFile ( ) const

inline

Get the Anisp intern data file name.

Returns: the data file name

References _sRootFilename.

Referenced by ClassImp().

◆ getDegreeMax()

Int_t URANIE::Modeler::TAnisp::getDegreeMax ( )

inline

Get the degree maximum for the Polynomial Chaos expansion.

Returns: the degree maximum of the polynomial

References _nDegreeMax.

◆ getErrorIndicator()

TNtupleD * URANIE::Modeler::TAnisp::getErrorIndicator ( )

inline

Get the list of error indicators.

Returns: the list of error indicators

References _tErrorIndicator.

◆ getErrorIndicatorFile()

TString URANIE::Modeler::TAnisp::getErrorIndicatorFile ( ) const

inline

Get the error indicator values file name.

Returns: the error indicator values file name

References _sRootFilename.

Referenced by ClassImp().

◆ getGreaterIndice()

Int_t URANIE::Modeler::TAnisp::getGreaterIndice ( )

inline

Get the greater value possible for an indice.

Returns: the greater value of an indice

References _nGreaterIndice.

◆ getIndicesFile()

TString URANIE::Modeler::TAnisp::getIndicesFile ( ) const

inline

Get the integration indices file name.

Returns: the integration indices file name

References _sRootFilename.

Referenced by ClassImp().

◆ getIntegrationIndices()

TNtupleD * URANIE::Modeler::TAnisp::getIntegrationIndices ( )

inline

Get the list of integration indices.

Returns: the list of integration indices

References _tIntegrationIndices.

◆ getIterationNumber()

Int_t URANIE::Modeler::TAnisp::getIterationNumber ( )

inline

Get the number of iteration of the integration algorithm.

Get the number of iteration of the integration algorithm

Returns: the number of iteration of the integration algorithm

References _nIterationNumber.

◆ getKMin()

Int_t URANIE::Modeler::TAnisp::getKMin ( )

inline

Get the order of interaction for adaptative integration.

Returns: the minimum order of interaction

References _nKMin.

◆ getMaxIndices()

Int_t URANIE::Modeler::TAnisp::getMaxIndices ( )

inline

Get the number maximum of indices for the integration.

Returns: the number maximum of indices

References _nMaxIndices.

◆ getNumberMaxOfSimulations()

Int_t URANIE::Modeler::TAnisp::getNumberMaxOfSimulations ( )

inline

Get the criterion of maximum number of simulations before stopping the adaptative integration.

Returns: the maximum number of simulations

References _nNumberMaxOfSimulations.

◆ getResultFile()

TString URANIE::Modeler::TAnisp::getResultFile ( ) const

inline

Get the computed polynomial coefficients file name.

Returns: the computed coefficients file name

References _sRootFilename.

Referenced by ClassImp().

◆ getRootFilename()

TString URANIE::Modeler::TAnisp::getRootFilename ( )

inline

Get the root name of the output files of the Anisp library.

Returns: the root name of the output files of the Anisp library

References _sRootFilename.

◆ getStochasticFile()

TString URANIE::Modeler::TAnisp::getStochasticFile ( ) const

inline

Get the stochastic points file name.

Returns: the stochastic points file name

References _sRootFilename.

Referenced by ClassImp().

◆ getTolerance()

Double_t URANIE::Modeler::TAnisp::getTolerance ( )

inline

Get the tolerance for the adaptative integration.

Returns: the tolerance value for the adaptative integration

References _dTolerance.

◆ getTPolynomialChaos()

TPolynomialChaos URANIE::Modeler::TAnisp::getTPolynomialChaos ( )

Get the TPolynomialChaos computed by the Anisp method.

Returns: the TPolynomialChaos computed

Referenced by ClassImp().

◆ getVariablesName()

TString URANIE::Modeler::TAnisp::getVariablesName ( TString inputs = "" )

Get a TString containing the name of all attributes separated by ':'.

Parameters

inputs : TString value containing the name of the inputs attributes separated by ':'

Returns: names of all attributes

Referenced by ClassImp().

◆ initialize()

void URANIE::Modeler::TAnisp::initialize ( )

private

Initialize attributes of the TAnisp object.

Referenced by ClassImp().

◆ launchCalculs()

void URANIE::Modeler::TAnisp::launchCalculs ( vector< Double_t * > ptExp )

private

Launch batchs of calculs during the numerical integration step of the ANISP method.

Parameters

ptExp : vector of Double_t * which contains the iterator number, the value of the point where the calcul is launched, the result of this calcul and the number of running of the ANISP method

Referenced by ClassImp().

◆ printLog()

virtual void URANIE::Modeler::TAnisp::printLog ( Option_t * option = "" )

virtual

Print log.

Parameters

option : pointer to an Option_t object

Reimplemented from URANIE::Modeler::TModeler.

Referenced by ClassImp().

◆ restartAnisp()

void URANIE::Modeler::TAnisp::restartAnisp ( )

Restart the Anisp method to compute a Polynomial Chaos expansion from a previous calcul.

Referenced by ClassImp().

◆ runAnisp()

void URANIE::Modeler::TAnisp::runAnisp ( )

Run the Anisp method to compute a Polynomial Chaos expansion.

Referenced by ClassImp().

◆ setAllAnispParameters()

void URANIE::Modeler::TAnisp::setAllAnispParameters	(	Double_t	tol,
		Int_t	kmin,
		Int_t	nmos,
		Int_t	greatInd,
		Int_t	maxInd,
		Bool_t	blog,
		Int_t	degMax,
		TString	rootName
	)

Set all the Anisp parameters.

Parameters

tol	double value to set the tolerance criterion of the integration algorithm
kmin	int value to set the minimum level of interaction of the integration algorithm
nmos	int value to set the criterion of maximum number of simulations of the integration algorithm
greatInd	int value to set the greater value for an indice reachable by the integration algorithm
maxInd	int value to set the maximum number of indices for the integration algorithm (memory criterion)
blog	Bool_t value to indicate if we wante the graphical and console outputs
degMax	int value to set the maximum degree of the Polynomial Chaos expansion
rootName	TString value which serves as root for all the names of the output files of the Anisp library

Referenced by ClassImp().

◆ setAnispParameters()

void URANIE::Modeler::TAnisp::setAnispParameters	(	Double_t	tol,
		Int_t	kmin,
		Int_t	nmos,
		Int_t	greatInd,
		Int_t	maxInd,
		Bool_t	blog
	)

Set most of the Anisp parameters.

Parameters

tol	double value to set the tolerance criterion of the integration algorithm
kmin	int value to set the minimum level of interaction of the integration algorithm
nmos	int value to set the criterion of maximum number of simulations of the integration algorithm
greatInd	int value to set the greater value for an indice reachable by the integration algorithm
maxInd	int value to set the maximum number of indices for the integration algorithm (memory criterion)
blog	Bool_t value to indicate if we wante the graphical and console outputs

Referenced by ClassImp().

◆ setDegreeMax()

void URANIE::Modeler::TAnisp::setDegreeMax ( Int_t degMax )

Set the degree maximum for the Polynomial Chaos expansion.

Parameters

degMax : int value to set the maximum degree of the Polynomial Chaos expansion

Referenced by ClassImp().

◆ setGreaterIndice()

void URANIE::Modeler::TAnisp::setGreaterIndice ( Int_t greatInd )

Set the greater value possible for an indice.

Parameters

greatInd : int value to set the greater value for an indice reachable by the integration algorithm

Referenced by ClassImp().

◆ setKMin()

void URANIE::Modeler::TAnisp::setKMin ( Int_t kmin )

Set the value of the _nKMin attribute to "kmin".

Parameters

kmin	: int value to set the minimum level of interaction of the integration algorithm

Referenced by ClassImp().

◆ setLightAnispParameters()

void URANIE::Modeler::TAnisp::setLightAnispParameters	(	Double_t	tol,
		Int_t	kmin,
		Int_t	nmos
	)

Set the Anisp calcul parameters.

Parameters

tol	double value to set the tolerance criterion of the integration algorithm
kmin	int value to set the minimum level of interaction of the integration algorithm
nmos	int value to set the criterion of maximum number of simulations of the integration algorithm

Referenced by ClassImp().

◆ setlog()

void URANIE::Modeler::TAnisp::setlog ( Bool_t blog )

Set the _blog parameter.

Parameters

blog	: Bool_t value to indicate if we wante the graphical and console outputs

Referenced by ClassImp().

◆ setMaxIndices()

void URANIE::Modeler::TAnisp::setMaxIndices ( Int_t maxInd )

Set the number maximum of indices for the integration.

Parameters

maxInd : int value to set the maximum number of indices for the integration algorithm (memory criterion)

Referenced by ClassImp().

◆ setNumberMaxOfSimulations()

void URANIE::Modeler::TAnisp::setNumberMaxOfSimulations ( Int_t nmos )

Set the criterion of maximum number of simulations before stopping the adaptative integration.

Parameters

nmos	: int value to set the criterion of maximum number of simulations of the integration algorithm

Referenced by ClassImp().

◆ setRootFilename()

void URANIE::Modeler::TAnisp::setRootFilename ( TString rootName )

Set the root name of the output files of the Anisp library.

Parameters

rootName : TString value which serves as root for all the names of the output files of the Anisp library

Referenced by ClassImp().

◆ setTolerance()

void URANIE::Modeler::TAnisp::setTolerance ( Double_t tol )

Set the tolerance for the adaptative integration.

Set the value of the tolerance for the adaptative integration

Parameters

tol	: double value to set the tolerance criterion of the integration algorithm

Referenced by ClassImp().

◆ setTPolynomialChaos()

void URANIE::Modeler::TAnisp::setTPolynomialChaos ( )

private

Open the result file of the Anisp library and use the coefficients stored there to create a TPolynomialChaos object and set its coefficients.

Referenced by ClassImp().

Friends And Related Symbol Documentation

◆ functionLauncher

void functionLauncher ( vector< Double_t * > ptEXp )

friend

Friend function which launchs the calculs.

Parameters

ptExp : vector of Double_t * which contains the iterator number, the value of the point where the calcul is launched, the result of this calcul and the number of running of the ANISP method

Referenced by ClassImp().

◆ StepByStepOutput

void StepByStepOutput	(	Double_t *	val,
		vector< Int_t * >	indices
	)

friend

Friend function to pass to the anisp function.

Parameters

val	: pointer to a Double_t fill with the values of a multi-indice
indices	: vector of Double_t * which contains the iterator number, the value of the point where the calcul is launched, the result of this calcul and the number of running of the ANISP method

Object of type TPolynomialChaos.

Referenced by ClassImp().

Documentation / Developer's manual

Available modules

Public Types

Public Member Functions

Private Attributes

Friends

Run the ANISP method

Additional Inherited Members

Detailed Description

Member Enumeration Documentation

◆ ANISP_TYPE

Constructor & Destructor Documentation

◆ TAnisp() [1/3]

◆ TAnisp() [2/3]

◆ TAnisp() [3/3]

◆ ~TAnisp()

Member Function Documentation

◆ addErrorIndicator()

◆ addIntegrationIndices()

◆ changeOfVariable()

◆ EndIterationActions()

◆ exportModelCplusplus()

◆ exportModelFortran()

◆ exportModelPMML()

◆ exportModelPython()

◆ getCible()

◆ getDataAnispFile()

◆ getDegreeMax()

◆ getErrorIndicator()

◆ getErrorIndicatorFile()

◆ getGreaterIndice()

◆ getIndicesFile()

◆ getIntegrationIndices()

◆ getIterationNumber()

◆ getKMin()

◆ getMaxIndices()

◆ getNumberMaxOfSimulations()

◆ getResultFile()

◆ getRootFilename()

◆ getStochasticFile()

◆ getTolerance()

◆ getTPolynomialChaos()

◆ getVariablesName()

◆ initialize()

◆ launchCalculs()

◆ printLog()

◆ restartAnisp()

◆ runAnisp()

◆ setAllAnispParameters()

◆ setAnispParameters()

◆ setDegreeMax()

◆ setGreaterIndice()

◆ setKMin()

◆ setLightAnispParameters()

◆ setlog()

◆ setMaxIndices()

◆ setNumberMaxOfSimulations()

◆ setRootFilename()

◆ setTolerance()

◆ setTPolynomialChaos()

Friends And Related Symbol Documentation

◆ functionLauncher

◆ StepByStepOutput

Member Data Documentation

◆ _analyticalFunction

◆ _Code

◆ _drawingGarbageCollector

◆ _dTolerance

◆ _nCible

◆ _nDegreeMax

◆ _nGreaterIndice

◆ _ninputs

◆ _nisp

◆ _nIterationNumber

◆ _nKMin

◆ _nMaxIndices

◆ _nNumberMaxOfSimulations

◆ _nNumberOfLaunching

◆ _nNumberOfPoints

◆ _nUranieAnisp