Class containing the Model Information describing the formal Spatial (or Temporal) Characteristics of the (set of) random variable(s) under study. More...

#include <Model.hpp>

Inheritance diagram for Model:

Detailed Description

Class containing the Model Information describing the formal Spatial (or Temporal) Characteristics of the (set of) random variable(s) under study.

The Model is essentially a container with two main contents:

the covariance part: see ACov.hpp for more information
the drift part: see DriftList.hpp for more information

The additional member CovContext only serves in carrying the following information:

the number of variables: if more than 1, the Model becomes multivariate
the field extension: this information is needed to get a stationary version to any covariance
the experimental mean vector and the variance-covariance matrix (used to calibrate the Model)

Public Member Functions
	Model (const CovContext &ctxt=CovContext())

	Model (int nvar, int ndim=2)

	Model (const Model &m)

Model &	operator= (const Model &m)

virtual	~Model ()

virtual String	toString (const AStringFormat *strfmt=nullptr) const override
	ICloneable interface.

const CovAnisoList *	castInCovAnisoListConst (int icov=-1) const

const CovLMCTapering *	castInCovLMCTaperingConst () const

const CovLMGradient *	castInCovLMGradientConst () const

const CovLMCAnamorphosis *	castInCovLMCAnamorphosisConst () const

CovAnisoList *	_castInCovAnisoList (int icov=-1)

CovLMCTapering *	_castInCovLMCTapering ()

CovLMGradient *	_castInCovLMGradient ()

CovLMCAnamorphosis *	_castInCovLMCAnamorphosis ()

int	resetFromDb (const Db *db)

void	setCovAnisoList (const CovAnisoList *covalist)

void	addCovAniso (const CovAniso *cov)

void	addCovFromParam (const ECov &type, double range=EPSILON6, double sill=1., double param=1., const VectorDouble &ranges=VectorDouble(), const MatrixSymmetric &sills=MatrixSymmetric(), const VectorDouble &angles=VectorDouble(), bool flagRange=true)

void	addCovFromParamOldStyle (const ECov &type, double range=EPSILON6, double sill=1., double param=1., const VectorDouble &ranges=VectorDouble(), const VectorDouble &sills=VectorDouble(), const VectorDouble &angles=VectorDouble(), bool flagRange=true)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeRangeNoStatDb)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeScaleNoStatDb)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeAngleNoStatDb)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeTensorNoStatDb)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeParamNoStatDb)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeRangeNoStatFunctional)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeScaleNoStatFunctional)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeAngleNoStatFunctional)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeTensorNoStatFunctional)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeParamNoStatFunctional)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeRangeStationary)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeScaleStationary)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeAngleStationary)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeTensorStationary)

	FORWARD_METHOD_NON_CONST (_castInCovAnisoList, makeParamStationary)

int	setAnam (const AAnam *anam, const VectorInt &strcnt=VectorInt())

int	unsetAnam ()

bool	isFlagGradient () const

bool	isFlagGradientNumerical () const

bool	isFlagGradientFunctional () const

void	switchToGradient ()

const CovAnisoList *	getCovAnisoList () const
	TODO : to be removed (encapsulation of CovAnisoList)

CovAnisoList *	getCovAnisoListModify ()

double	evalCovFromIncr (const VectorDouble &incr, int icov=0, const ECalcMember &member=ECalcMember::fromKey("LHS")) const

Model *	duplicate () const

Model *	createReduce (const VectorInt &validVars) const

int	getNVar () const

int	fitFromCovIndices (Vario *vario, const VectorECov &types=ECov::fromKeys({"EXPONENTIAL"}), const Constraints &constraints=Constraints(), const Option_VarioFit &optvar=Option_VarioFit(), const Option_AutoFit &mauto=Option_AutoFit(), bool verbose=false)

int	fit (Vario *vario, const VectorECov &types=ECov::fromKeys({"SPHERICAL"}), const Constraints &constraints=Constraints(), const Option_VarioFit &optvar=Option_VarioFit(), const Option_AutoFit &mauto=Option_AutoFit(), bool verbose=false)

int	fitFromVMap (DbGrid *dbmap, const VectorECov &types=ECov::fromKeys({"SPHERICAL"}), const Constraints &constraints=Constraints(), const Option_VarioFit &optvar=Option_VarioFit(), const Option_AutoFit &mauto=Option_AutoFit(), bool verbose=false)

int	stabilize (double percent, bool verbose=false)

int	standardize (bool verbose=false)

bool	isValid () const

Public Member Functions inherited from AStringable
	AStringable ()

	AStringable (const AStringable &r)

AStringable &	operator= (const AStringable &r)

virtual	~AStringable ()

virtual void	display (const AStringFormat *strfmt=nullptr) const final

virtual void	display (int level) const final

Public Member Functions inherited from ASerializable
	ASerializable ()

	ASerializable (const ASerializable &r)

ASerializable &	operator= (const ASerializable &r)

virtual	~ASerializable ()

bool	deserialize (std::istream &is, bool verbose=true)

bool	serialize (std::ostream &os, bool verbose=true) const

bool	dumpToNF (const String &neutralFilename, bool verbose=false) const

Public Member Functions inherited from ModelCovList
	ModelCovList (const CovContext &ctxt=CovContext())

	ModelCovList (const ModelCovList &m)

ModelCovList &	operator= (const ModelCovList &m)

virtual	~ModelCovList ()

const CovList *	getCovList () const

CovList *	getCovListModify () const

	FORWARD_METHOD_NON_CONST (getCovListModify, setCovFiltered)

void	setCovList (CovList *covs)

virtual void	addCov (const CovBase *cov)

Public Member Functions inherited from ModelGeneric
	ModelGeneric (const CovContext &ctxt=CovContext())

	ModelGeneric (const ModelGeneric &r)

ModelGeneric &	operator= (const ModelGeneric &r)

virtual	~ModelGeneric ()

const ACov *	getCov () const

const CovContext *	getContext () const

const DriftList *	getDriftList () const

ACov *	_getCovModify ()
	ICloneable interface.

CovContext *	_getContextModify ()

DriftList *	_getDriftListModify ()

void	setField (double field)

bool	isValid () const

void	setCov (ACov *cova)

void	setDriftList (const DriftList *driftlist)

void	setDriftIRF (int order=0, int nfex=0)

void	addDrift (const ADrift *drift)

void	setDrifts (const VectorString &driftSymbols)

double	computeLogLikelihood (const Db *db, bool verbose=false)

Public Member Functions inherited from ICloneable
	ICloneable ()

virtual	~ICloneable ()

virtual ICloneable *	clone () const =0

Static Public Member Functions
static Model *	create (const CovContext &ctxt=CovContext())

static Model *	createFromEnvironment (int nvar, int ndim=2)

static Model *	createNugget (int nvar, int ndim=2, double sill=1.)

static Model *	createFromParam (const ECov &type=ECov::fromKey("NUGGET"), double range=1., double sill=1., double param=1., const VectorDouble &ranges=VectorDouble(), const MatrixSymmetric &sills=MatrixSymmetric(), const VectorDouble &angles=VectorDouble(), const ASpaceSharedPtr &space=ASpaceSharedPtr(), bool flagRange=true)

static Model *	createFromParamOldStyle (const ECov &type=ECov::fromKey("NUGGET"), double range=1., double sill=1., double param=1., const VectorDouble &ranges=VectorDouble(), const VectorDouble &sills=VectorDouble(), const VectorDouble &angles=VectorDouble(), const ASpaceSharedPtr &space=ASpaceSharedPtr(), bool flagRange=true)

static Model *	createFromDb (const Db *db)

static Model *	createFromNF (const String &neutralFilename, bool verbose=true)

static Model *	createFromVario (Vario *vario, const VectorECov &types=ECov::fromKeys({"SPHERICAL"}), const Constraints &constraints=Constraints(), const Option_VarioFit &optvar=Option_VarioFit(), const Option_AutoFit &mauto=Option_AutoFit(), bool verbose=false)

static Model *	createFillRandom (int ndim, int nvar, const std::vector< ECov > &types=ECov::fromKeys({"SPHERICAL"}), double hmax=1, int order=-1, int nfex=0, int seed=13242)

static void	gofDisplay (double gof, bool byValue=true, const VectorDouble &thresholds={2., 5., 10., 100})

static VectorECov	initCovList (const VectorInt &covranks)

Static Public Member Functions inherited from ASerializable
static String	buildFileName (int status, const String &filename, bool ensureDirExist=false)

static String	getHomeDirectory (const String &sub="")

static String	getWorkingDirectory ()

static String	getTestData (const String &subdir, const String &filename)

static String	getFileIdentity (const String &filename, bool verbose=false)

static void	setContainerName (bool useDefault, const String &containerName="", bool verbose=false)

static void	unsetContainerName ()

static void	setPrefixName (const String &prefixName)

static void	unsetPrefixName ()

static const String &	getContainerName ()

static const String &	getPrefixName ()

static bool	createDirectory (const String &dir)

static String	getExecDirectory ()

static String	getDirectory (const String &path)

Constructor & Destructor Documentation

◆ Model() [1/3]

Model::Model ( const CovContext & ctxt = CovContext() )

◆ Model() [2/3]

Model::Model	(	int	nvar,
		int	ndim = `2`
	)

◆ Model() [3/3]

Model::Model ( const Model & m )

◆ ~Model()

Model::~Model ( )

virtual

Member Function Documentation

◆ _castInCovAnisoList()

CovAnisoList * Model::_castInCovAnisoList ( int icov = -1 )

◆ _castInCovLMCAnamorphosis()

CovLMCAnamorphosis * Model::_castInCovLMCAnamorphosis ( )

◆ _castInCovLMCTapering()

CovLMCTapering * Model::_castInCovLMCTapering ( )

◆ _castInCovLMGradient()

CovLMGradient * Model::_castInCovLMGradient ( )

◆ addCovAniso()

void Model::addCovAniso ( const CovAniso * cov )

◆ addCovFromParam()

void Model::addCovFromParam	(	const ECov &	type,
		double	range = `EPSILON6`,
		double	sill = `1.`,
		double	param = `1.`,
		const VectorDouble &	ranges = `VectorDouble()`,
		const MatrixSymmetric &	sills = `MatrixSymmetric()`,
		const VectorDouble &	angles = `VectorDouble()`,
		bool	flagRange = `true`
	)

◆ addCovFromParamOldStyle()

void Model::addCovFromParamOldStyle	(	const ECov &	type,
		double	range = `EPSILON6`,
		double	sill = `1.`,
		double	param = `1.`,
		const VectorDouble &	ranges = `VectorDouble()`,
		const VectorDouble &	sills = `VectorDouble()`,
		const VectorDouble &	angles = `VectorDouble()`,
		bool	flagRange = `true`
	)

◆ castInCovAnisoListConst()

const CovAnisoList * Model::castInCovAnisoListConst ( int icov = -1 ) const

This internal function tries to cast the member '_cova' into a pointer to CovAnisoList and checks the validity of the argument 'icov' which gives the rank within this list

Parameters

icov	Rank of the CovAniso (to be checked if >= 0)

Returns: 'nullptr' if not valid cast (the error message is printed internally)

◆ castInCovLMCAnamorphosisConst()

const CovLMCAnamorphosis * Model::castInCovLMCAnamorphosisConst ( ) const

◆ castInCovLMCTaperingConst()

const CovLMCTapering * Model::castInCovLMCTaperingConst ( ) const

◆ castInCovLMGradientConst()

const CovLMGradient * Model::castInCovLMGradientConst ( ) const

◆ create()

Model * Model::create ( const CovContext & ctxt = CovContext() )

static

◆ createFillRandom()

Model * Model::createFillRandom	(	int	ndim,
		int	nvar,
		const std::vector< ECov > &	types = `ECov::fromKeys({"SPHERICAL"})`,
		double	hmax = `1`,
		int	order = `-1`,
		int	nfex = `0`,
		int	seed = `13242`
	)

static

◆ createFromDb()

Model * Model::createFromDb ( const Db * db )

static

◆ createFromEnvironment()

Model * Model::createFromEnvironment	(	int	nvar,
		int	ndim = `2`
	)

static

◆ createFromNF()

Model * Model::createFromNF	(	const String &	neutralFilename,
		bool	verbose = `true`
	)

static

◆ createFromParam()

Model * Model::createFromParam	(	const ECov &	type = `ECov::fromKey("NUGGET")`,
		double	range = `1.`,
		double	sill = `1.`,
		double	param = `1.`,
		const VectorDouble &	ranges = `VectorDouble()`,
		const MatrixSymmetric &	sills = `MatrixSymmetric()`,
		const VectorDouble &	angles = `VectorDouble()`,
		const ASpaceSharedPtr &	space = `ASpaceSharedPtr()`,
		bool	flagRange = `true`
	)

static

◆ createFromParamOldStyle()

Model * Model::createFromParamOldStyle	(	const ECov &	type = `ECov::fromKey("NUGGET")`,
		double	range = `1.`,
		double	sill = `1.`,
		double	param = `1.`,
		const VectorDouble &	ranges = `VectorDouble()`,
		const VectorDouble &	sills = `VectorDouble()`,
		const VectorDouble &	angles = `VectorDouble()`,
		const ASpaceSharedPtr &	space = `ASpaceSharedPtr()`,
		bool	flagRange = `true`
	)

static

◆ createFromVario()

Model * Model::createFromVario	(	Vario *	vario,
		const VectorECov &	types = `ECov::fromKeys({"SPHERICAL"})`,
		const Constraints &	constraints = `Constraints()`,
		const Option_VarioFit &	optvar = `Option_VarioFit()`,
		const Option_AutoFit &	mauto = `Option_AutoFit()`,
		bool	verbose = `false`
	)

static

◆ createNugget()

Model * Model::createNugget	(	int	nvar,
		int	ndim = `2`,
		double	sill = `1.`
	)

static

◆ createReduce()

Model * Model::createReduce ( const VectorInt & validVars ) const

◆ duplicate()

Model * Model::duplicate ( ) const

◆ evalCovFromIncr()

double Model::evalCovFromIncr	(	const VectorDouble &	incr,
		int	icov = `0`,
		const ECalcMember &	member = `ECalcMember::fromKey("LHS")`
	)		const

◆ fit()

int Model::fit	(	Vario *	vario,
		const VectorECov &	types = `ECov::fromKeys({"SPHERICAL"})`,
		const Constraints &	constraints = `Constraints()`,
		const Option_VarioFit &	optvar = `Option_VarioFit()`,
		const Option_AutoFit &	mauto = `Option_AutoFit()`,
		bool	verbose = `false`
	)

Automatic Fitting procedure from an experimental Variogram

Parameters

vario	Experimental variogram to be fitted
types	Vector of ECov (see remarks)
constraints	Set of Constraints
optvar	Set of options
mauto	Special parameters for Automatic fitting procedure (instance of Option_AutoFit), for exemple wmode (type of weighting function)
verbose	Verbose option

Remarks: If no list of specific basic structure is specified, the automatic fitting is performed using a single spherical structure by default.

Returns: 0 if no error, 1 otherwise

TODO : What to do with that ?

◆ fitFromCovIndices()

int Model::fitFromCovIndices	(	Vario *	vario,
		const VectorECov &	types = `ECov::fromKeys({"EXPONENTIAL"})`,
		const Constraints &	constraints = `Constraints()`,
		const Option_VarioFit &	optvar = `Option_VarioFit()`,
		const Option_AutoFit &	mauto = `Option_AutoFit()`,
		bool	verbose = `false`
	)

Automatic Fitting procedure

Parameters

vario	Experimental variogram to be fitted
types	Vector of ECov integer values
constraints	Set of Constraints
optvar	Set of options
mauto	Special parameters for Automatic fitting procedure
verbose	Verbose option

Returns: 0 if no error, 1 otherwise

TODO : What to do with that ?

◆ fitFromVMap()

int Model::fitFromVMap	(	DbGrid *	dbmap,
		const VectorECov &	types = `ECov::fromKeys({"SPHERICAL"})`,
		const Constraints &	constraints = `Constraints()`,
		const Option_VarioFit &	optvar = `Option_VarioFit()`,
		const Option_AutoFit &	mauto = `Option_AutoFit()`,
		bool	verbose = `false`
	)

Automatic Fitting procedure from A Variogram Map stored on a DbGrid

Parameters

dbmap	DbGrid containing the Variogram Map
types	Vector of ECov
constraints	Set of Constraints
optvar	Set of options
mauto	Special parameters for Automatic fitting procedure (instance of Option_AutoFit), for exemple wmode (type of weighting function)
verbose	Verbose option

Returns: 0 if no error, 1 otherwise

◆ FORWARD_METHOD_NON_CONST() [1/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeAngleNoStatDb
	)

◆ FORWARD_METHOD_NON_CONST() [2/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeAngleNoStatFunctional
	)

◆ FORWARD_METHOD_NON_CONST() [3/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeAngleStationary
	)

◆ FORWARD_METHOD_NON_CONST() [4/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeParamNoStatDb
	)

◆ FORWARD_METHOD_NON_CONST() [5/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeParamNoStatFunctional
	)

◆ FORWARD_METHOD_NON_CONST() [6/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeParamStationary
	)

◆ FORWARD_METHOD_NON_CONST() [7/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeRangeNoStatDb
	)

◆ FORWARD_METHOD_NON_CONST() [8/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeRangeNoStatFunctional
	)

◆ FORWARD_METHOD_NON_CONST() [9/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeRangeStationary
	)

◆ FORWARD_METHOD_NON_CONST() [10/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeScaleNoStatDb
	)

◆ FORWARD_METHOD_NON_CONST() [11/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeScaleNoStatFunctional
	)

◆ FORWARD_METHOD_NON_CONST() [12/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeScaleStationary
	)

◆ FORWARD_METHOD_NON_CONST() [13/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeTensorNoStatDb
	)

◆ FORWARD_METHOD_NON_CONST() [14/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeTensorNoStatFunctional
	)

◆ FORWARD_METHOD_NON_CONST() [15/15]

Model::FORWARD_METHOD_NON_CONST	(	_castInCovAnisoList	,
		makeTensorStationary
	)

◆ getCovAnisoList()

const CovAnisoList * Model::getCovAnisoList ( ) const

TODO : to be removed (encapsulation of CovAnisoList)

◆ getCovAnisoListModify()

CovAnisoList * Model::getCovAnisoListModify ( )

◆ getNVar()

int Model::getNVar ( ) const

◆ gofDisplay()

void Model::gofDisplay	(	double	gof,
		bool	byValue = `true`,
		const VectorDouble &	thresholds = `{2., 5., 10., 100}`
	)

static

◆ initCovList()

VectorECov Model::initCovList ( const VectorInt & covranks )

static

◆ isFlagGradient()

bool Model::isFlagGradient ( ) const

◆ isFlagGradientFunctional()

bool Model::isFlagGradientFunctional ( ) const

◆ isFlagGradientNumerical()

bool Model::isFlagGradientNumerical ( ) const

◆ isValid()

bool Model::isValid ( ) const

◆ operator=()

Model & Model::operator= ( const Model & m )

◆ resetFromDb()

int Model::resetFromDb ( const Db * db )

◆ setAnam()

int Model::setAnam	(	const AAnam *	anam,
		const VectorInt &	strcnt = `VectorInt()`
	)

Defining an Anamorphosis information for the Model (in fact, this is added to CovAnisoList part and transforms it from CovAnisoList to CovLMCAnamorphosis

Parameters

anam	Pointer to the anamorphosis
strcnt	Array of covariance description used for IR case

Returns

◆ setCovAnisoList()

void Model::setCovAnisoList ( const CovAnisoList * covalist )

Add a list of Covariances. This operation cleans any previously stored covariance

Parameters

covalist List of Covariances to be added

◆ stabilize()

int Model::stabilize	(	double	percent,
		bool	verbose = `false`
	)

Stabilize the model (in the monovariate case)

Returns: Error returned code

Parameters

[in]	percent	Percentage of nugget effect added
[in]	verbose	true for a verbose output

Remarks: If the model only contains GAUSSIAN structures, add; a NUGGET EFFECT structure with a sill equal to a percentage; of the total sill of the GAUSSIAN component(s); This function does not do anything in the multivariate case

◆ standardize()

int Model::standardize ( bool verbose = false )

Normalize the model

Parameters

[in] verbose true for a verbose output

◆ switchToGradient()

void Model::switchToGradient ( )

Switch to a Model dedicated to Gradients (transforms it from CovAnisoList to CovLMGradient)

◆ toString()

String Model::toString ( const AStringFormat * strfmt = nullptr ) const

overridevirtual

ICloneable interface.

AStringable Interface

Reimplemented from AStringable.

◆ unsetAnam()

int Model::unsetAnam ( )

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

include/Model/Model.hpp
src/Model/Model.cpp

Detailed Description

Public Member Functions

Static Public Member Functions

Constructor & Destructor Documentation

◆ Model() [1/3]

◆ Model() [2/3]

◆ Model() [3/3]

◆ ~Model()

Member Function Documentation

◆ _castInCovAnisoList()

◆ _castInCovLMCAnamorphosis()

◆ _castInCovLMCTapering()

◆ _castInCovLMGradient()

◆ addCovAniso()

◆ addCovFromParam()

◆ addCovFromParamOldStyle()

◆ castInCovAnisoListConst()

◆ castInCovLMCAnamorphosisConst()

◆ castInCovLMCTaperingConst()

◆ castInCovLMGradientConst()

◆ create()

◆ createFillRandom()

◆ createFromDb()

◆ createFromEnvironment()

◆ createFromNF()

◆ createFromParam()

◆ createFromParamOldStyle()

◆ createFromVario()

◆ createNugget()

◆ createReduce()

◆ duplicate()

◆ evalCovFromIncr()

◆ fit()

◆ fitFromCovIndices()

◆ fitFromVMap()

◆ FORWARD_METHOD_NON_CONST() [1/15]

◆ FORWARD_METHOD_NON_CONST() [2/15]

◆ FORWARD_METHOD_NON_CONST() [3/15]

◆ FORWARD_METHOD_NON_CONST() [4/15]

◆ FORWARD_METHOD_NON_CONST() [5/15]

◆ FORWARD_METHOD_NON_CONST() [6/15]

◆ FORWARD_METHOD_NON_CONST() [7/15]

◆ FORWARD_METHOD_NON_CONST() [8/15]

◆ FORWARD_METHOD_NON_CONST() [9/15]

◆ FORWARD_METHOD_NON_CONST() [10/15]

◆ FORWARD_METHOD_NON_CONST() [11/15]

◆ FORWARD_METHOD_NON_CONST() [12/15]

◆ FORWARD_METHOD_NON_CONST() [13/15]

◆ FORWARD_METHOD_NON_CONST() [14/15]

◆ FORWARD_METHOD_NON_CONST() [15/15]

◆ getCovAnisoList()

◆ getCovAnisoListModify()

◆ getNVar()

◆ gofDisplay()

◆ initCovList()

◆ isFlagGradient()

◆ isFlagGradientFunctional()

◆ isFlagGradientNumerical()

◆ isValid()

◆ operator=()

◆ resetFromDb()

◆ setAnam()

◆ setCovAnisoList()

◆ stabilize()

◆ standardize()

◆ switchToGradient()

◆ toString()

◆ unsetAnam()