Class containing the Covariance part of the Model. More...

#include <ACov.hpp>

Inheritance diagram for ACov:

Detailed Description

Class containing the Covariance part of the Model.

It is the uppermost class of the Covariance Tree and is conceived as simple as possible on purpose (in order to let the user defined its own version if necessary): it must simply be able to return its value between two end-point (see eval method).

It is mainly implemented in CovAniso.hpp or CovAnisoList.hpp

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

	ACov (const ACov &r)

ACov &	operator= (const ACov &r)

virtual	~ACov ()

virtual int	getNVar () const
	ACov Interface.

virtual bool	isIndexable () const

bool	isNoStat () const

virtual void	loadInfoValues ()

const CovContext &	getContext () const

void	setContext (const CovContext &ctxt)

void	updateFromContext ()

virtual void	copyCovContext (const CovContext &ctxt)

void	initFromContext ()

CovContext	getContextCopy () const

virtual double	eval0 (int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const
	Calculate the covariance between two variables for 0-distance (stationary case)

double	evalCov (const SpacePoint &p1, const SpacePoint &p2, int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const
	Calculate the covariance between two variables and two points (general case)

virtual double	evalCovOnSphere (double alpha, int degree=50, bool flagScaleDistance=false, const CovCalcMode *mode=nullptr) const

virtual VectorDouble	evalSpectrumOnSphere (int n, bool flagNormDistance=false, bool flagCumul=false) const

virtual double	evalSpectrum (const VectorDouble &freq, int ivar, int jvar) const

virtual void	updateCovByPoints (int icas1, int iech1, int icas2, int iech2) const

void	attachNoStatDb (const Db *db)

virtual bool	isOptimEnabled () const
	Functions linked to Optimization during Covariance calculations.

void	optimizationPreProcess (int mode, const std::vector< SpacePoint > &ps) const

SpacePoint &	optimizationLoadInPlace (int iech, int mode, int rank) const

void	optimizationPostProcess () const

void	optimizationSetTarget (SpacePoint &pt) const

VectorDouble	eval (const std::vector< SpacePoint > &vec_p1, const std::vector< SpacePoint > &vec_p2, int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const
	Functions for evaluating Covariances.

MatrixSymmetric	eval0Mat (const CovCalcMode *mode=nullptr) const

MatrixSymmetric	evalCovMat0 (const Db *db, int iech, const KrigOpt &krigopt=KrigOpt()) const
	Functions for evaluating Covariance Matrices either in place or not.

MatrixDense	evalCovMat (const Db db1, const Db db2=nullptr, int ivar0=-1, int jvar0=-1, const VectorInt &nbgh1=VectorInt(), const VectorInt &nbgh2=VectorInt(), const CovCalcMode *mode=nullptr, bool cleanOptim=true) const

MatrixSymmetric	evalCovMatSym (const Db db1, const VectorInt &nbgh1=VectorInt(), int ivar0=-1, const CovCalcMode mode=nullptr, bool cleanOptim=true) const

MatrixSparse *	evalCovMatSparse (const Db db1_arg, const Db db2_arg=nullptr, int ivar0=-1, int jvar0=-1, const VectorInt &nbgh1=VectorInt(), const VectorInt &nbgh2=VectorInt(), const CovCalcMode *mode=nullptr, bool cleanOptim=true, double eps=EPSILON3) const

int	evalCovMat0InPlace (MatrixSymmetric &mat, const Db *db, int iech, const KrigOpt &krigopt=KrigOpt()) const

int	evalCovMatInPlace (MatrixDense &mat, const Db db1, const Db db2=nullptr, int ivar0=-1, int jvar0=-1, const VectorInt &nbgh1=VectorInt(), const VectorInt &nbgh2=VectorInt(), const CovCalcMode *mode=nullptr, bool cleanOptim=true) const

int	evalCovMatSymInPlace (MatrixSymmetric &mat, const Db db1, const VectorInt &nbgh1=VectorInt(), int ivar0=-1, const CovCalcMode mode=nullptr, bool cleanOptim=true) const

int	evalCovMatInPlaceFromIdx (MatrixDense &mat, const Db db1, const Db db2, const VectorVectorInt &index1, const VectorVectorInt &index2, const VectorInt &nbgh2=VectorInt(), const CovCalcMode *mode=nullptr, bool cleanOptim=true) const

int	evalCovMatSymInPlaceFromIdx (MatrixSymmetric &mat, const Db db1, const VectorVectorInt &index1, const CovCalcMode mode=nullptr, bool cleanOptim=true) const

int	evalCovMatRHSInPlaceFromIdx (MatrixDense &mat, const Db db1, const Db db2, const VectorVectorInt &index1, const int iech2=-1, const KrigOpt &krigopt=KrigOpt(), bool cleanOptim=true) const

int	evalCovVecRHSInPlace (vect vect, const Db *db2, const VectorInt &index1, int iech2, const KrigOpt &krigopt, SpacePoint &pin, SpacePoint &pout, VectorDouble &tabwork, double lambda=1.) const

virtual int	addEvalCovVecRHSInPlace (vect vect, const VectorInt &index1, const int iech2, const KrigOpt &krigopt, SpacePoint &pin, SpacePoint &pout, VectorDouble &tabwork, double lambda=1.) const

void	eval0CovMatBiPointInPlace (MatrixSymmetric &mat, const CovCalcMode *mode) const

double	evalIvarIpas (double step, const VectorDouble &dir=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

double	evalIvarIpasIncr (const VectorDouble &dincr, int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

VectorDouble	evalIvarNlag (const VectorDouble &vec_step, const VectorDouble &dir=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

MatrixSquare	evalNvarIpas (double step, const VectorDouble &dir=VectorDouble(), const CovCalcMode *mode=nullptr) const

MatrixSquare	evalNvarIpasIncr (const VectorDouble &dincr, const CovCalcMode *mode=nullptr) const

double	evalIsoIvarIpas (double step, int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

VectorDouble	evalIsoIvarNlag (const VectorDouble &vec_step, int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

MatrixSquare	evalIsoNvarIpas (double step, const CovCalcMode *mode=nullptr) const

double	evalCvv (const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

double	evalCvvShift (const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &shift, const VectorDouble &angles=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

MatrixSquare	evalCvvM (const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const CovCalcMode *mode=nullptr) const

double	evalCxv (const SpacePoint &p1, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

double	evalCxv (const Db db, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode mode=nullptr) const

MatrixSquare	evalCxvM (const SpacePoint &p1, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), const CovCalcMode *mode=nullptr) const

void	evalPointToDb (VectorDouble &values, const SpacePoint &p1, const Db db2, int ivar=0, int jvar=0, bool useSel=true, const VectorInt &nbgh2=VectorInt(), const CovCalcMode mode=nullptr) const

void	evalPointToDbAsSP (VectorDouble &values, const std::vector< SpacePoint > &p1s, const SpacePoint &p2, int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

double	evalAverageDbToDb (const Db db1, const Db db2, int ivar=0, int jvar=0, double eps=0., int seed=434132, const CovCalcMode *mode=nullptr) const

double	evalAverageIncrToIncr (const VectorVectorDouble &d1, const VectorVectorDouble &d2, int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

double	evalAveragePointToDb (const SpacePoint &p1, const Db db2, int ivar=0, int jvar=0, const CovCalcMode mode=nullptr) const

double	extensionVariance (const Db *db, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), int ivar=0, int jvar=0) const

double	samplingDensityVariance (const Db *db, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), int ivar=0, int jvar=0) const

double	specificVolume (const Db *db, double mean, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), int ivar=0, int jvar=0) const

double	coefficientOfVariation (const Db *db, double volume, double mean, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), int ivar=0, int jvar=0) const

double	specificVolumeFromCoV (Db *db, double cov, double mean, const VectorDouble &ext, const VectorInt &ndisc, const VectorDouble &angles=VectorDouble(), const VectorDouble &x0=VectorDouble(), int ivar=0, int jvar=0) const

double	evaluateOneGeneric (const CovInternal covint, const VectorDouble &d1=VectorDouble(), double weight=1., const CovCalcMode mode=nullptr) const

double	calculateStDev (Db db1, int iech1, Db db2, int iech2, bool verbose=false, double factor=1., const CovCalcMode *mode=nullptr) const

void	evaluateMatInPlace (const CovInternal covint, const VectorDouble &d1, MatrixSquare &covtab, bool flag_init=false, double weight=1., const CovCalcMode mode=nullptr) const

VectorDouble	evaluateFromDb (Db db, int ivar=0, int jvar=0, const CovCalcMode mode=nullptr) const

double	evaluateOneIncr (double hh, const VectorDouble &codir=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode *mode=nullptr) const

VectorDouble	sample (const VectorDouble &h, const VectorDouble &codir=VectorDouble(), int ivar=0, int jvar=0, const CovCalcMode mode=nullptr, const CovInternal covint=nullptr) const

VectorDouble	sampleUnitary (const VectorDouble &hh, int ivar=0, int jvar=0, VectorDouble codir=VectorDouble(), const CovCalcMode *mode=nullptr) const

VectorDouble	envelop (const VectorDouble &hh, int ivar=0, int jvar=0, int isign=1, VectorDouble codir=VectorDouble(), const CovCalcMode *mode=nullptr) const

int	buildVmapOnDbGrid (DbGrid *dbgrid, const NamingConvention &namconv=NamingConvention("VMAP")) const

double	gofToVario (const Vario *vario, bool verbose=true) const

void	manage (const Db db1, const Db db2) const

void	load (const SpacePoint &p, bool case1) const

virtual void	updateCovByMesh (int imesh, bool aniso=true) const

virtual double	getValue (const EConsElem &econs, int iv1, int iv2) const

void	makeStationary ()

virtual int	makeElemNoStat (const EConsElem &econs, int iv1, int iv2, const AFunctional func=nullptr, const Db db=nullptr, const String &namecol=String())

void	createNoStatTab ()

void	informMeshByMesh (const AMesh *amesh) const

void	informMeshByApex (const AMesh *amesh) const

VectorDouble	informCoords (const VectorVectorDouble &coords, const EConsElem &econs, int iv1=0, int iv2=0) const

void	informDbIn (const Db *dbin) const

void	informDbOut (const Db *dbout) const

virtual void	updateCovByPoints (int icas1, int iech1, int icas2, int iech2)

int	getNDim (int ispace=-1) const

void	optimizationPreProcessForData (const Db *db1=nullptr) const

virtual void	setOptimEnabled (bool enabled) const

bool	checkAndManageNoStatDb (const Db *db, const String &namecol)

std::shared_ptr< const Db >	getDbNoStat () const

const Db *	getDbNoStatRaw () const

void	setNoStatDbIfNecessary (const Db *db)

void	setNoStatDbIfNecessary (std::shared_ptr< const Db > &db)

Public Member Functions inherited from ASpaceObject
	ASpaceObject (const ASpaceSharedPtr &space=ASpaceSharedPtr())

	ASpaceObject (const ASpaceObject &r)

ASpaceObject &	operator= (const ASpaceObject &r)

virtual	~ASpaceObject ()

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

ASpaceSharedPtr	getSpace () const
	Accessor to the current object space context.

bool	isConsistent () const
	Indicate if I am consistent with my current space context.

VectorDouble	getUnitaryVector () const
	Return unitary vector for the current space context.

bool	isConsistent (const ASpaceSharedPtr &space) const
	Indicate if I am consistent with the provided space.

virtual bool	isConsistent (const ASpace *space) const =0

unsigned int	getNDim (int ispace=-1) const
	Shortcuts to ASpace methods.

const VectorDouble &	getOrigin (int ispace=-1) const
	Return the current space context origin coordinates.

double	getDistance (const SpacePoint &p1, const SpacePoint &p2, int ispace=0) const
	Return the distance between two space points for the current space context.

VectorDouble	getDistances (const SpacePoint &p1, const SpacePoint &p2) const
	Return all the distances (space composits) between two space points for the current space context.

VectorDouble	getIncrement (const SpacePoint &p1, const SpacePoint &p2, int ispace=0) const
	Return the increment vector between two space points for the current space context.

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 ICloneable
	ICloneable ()

virtual	~ICloneable ()

virtual ICloneable *	clone () const =0

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

Constructor & Destructor Documentation

◆ ACov() [1/2]

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

◆ ACov() [2/2]

ACov::ACov ( const ACov & r )

◆ ~ACov()

ACov::~ACov ( )

virtual

Member Function Documentation

◆ addEvalCovVecRHSInPlace()

int ACov::addEvalCovVecRHSInPlace	(	vect	vect,
		const VectorInt &	index1,
		const int	iech2,
		const KrigOpt &	krigopt,
		SpacePoint &	pin,
		SpacePoint &	pout,
		VectorDouble &	tabwork,
		double	lambda = `1.`
	)		const

virtual

Reimplemented in CovList, CorAniso, and CovBase.

◆ attachNoStatDb()

void ACov::attachNoStatDb ( const Db * db )

◆ buildVmapOnDbGrid()

int ACov::buildVmapOnDbGrid	(	DbGrid *	dbgrid,
		const NamingConvention &	namconv = `NamingConvention("VMAP")`
	)		const

Calculate the variogram map from a Model (presented as Variogram, not Covariance)

Returns: Error return code

Parameters

[in]	dbgrid	Grid structure
[in]	namconv	Naming convention

◆ calculateStDev()

double ACov::calculateStDev	(	Db *	db1,
		int	iech1,
		Db *	db2,
		int	iech2,
		bool	verbose = `false`,
		double	factor = `1.`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Returns the standard deviation at a given increment for a given model between two samples of two Dbs

Parameters

[in]	db1	First Db
[in]	iech1	Rank in the first Db
[in]	db2	Second Db
[in]	iech2	Rank in the second Db
[in]	verbose	Verbose flag
[in]	factor	Multiplicative factor for standard deviation
[in]	mode	CovCalcMode structure

◆ checkAndManageNoStatDb()

bool ACov::checkAndManageNoStatDb	(	const Db *	db,
		const String &	namecol
	)

◆ coefficientOfVariation()

double ACov::coefficientOfVariation	(	const Db *	db,
		double	volume,
		double	mean,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`
	)		const

Calculate the Coefficient of Variation

Parameters

db	Set of data points
volume	Specific production volume
mean	Value of the Mean
ext	Target Block extension
ndisc	Vector of discretization
angles	Optional rotation angle for block
x0	Optional origin of the Block
ivar	Rank of the first variable
jvar	Rank of the second variable

Returns

◆ copyCovContext()

virtual void ACov::copyCovContext ( const CovContext & ctxt )

inlinevirtual

Reimplemented in CovList.

◆ createNoStatTab()

void ACov::createNoStatTab ( )

◆ envelop()

VectorDouble ACov::envelop	(	const VectorDouble &	hh,
		int	ivar = `0`,
		int	jvar = `0`,
		int	isign = `1`,
		VectorDouble	codir = `VectorDouble()`,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ eval()

VectorDouble ACov::eval	(	const std::vector< SpacePoint > &	vec_p1,
		const std::vector< SpacePoint > &	vec_p2,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Functions for evaluating Covariances.

◆ eval0()

double ACov::eval0	(	int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

virtual

Calculate the covariance between two variables for 0-distance (stationary case)

Reimplemented in CovAniso, CovAnisoList, CovGradientNumerical, CovList, CovLMCAnamorphosis, CovLMCConvolution, and CovLMCTapering.

◆ eval0CovMatBiPointInPlace()

void ACov::eval0CovMatBiPointInPlace	(	MatrixSymmetric &	mat,
		const CovCalcMode *	mode
	)		const

Calculate the Matrix of covariance for zero distance

Parameters

mat	Covariance matrix (Dimension: nvar * nvar)
mode	Calculation Options

Remarks: : Matrix 'mat' should be dimensioned and initialized beforehand

◆ eval0Mat()

MatrixSymmetric ACov::eval0Mat ( const CovCalcMode * mode = nullptr ) const

◆ evalAverageDbToDb()

double ACov::evalAverageDbToDb	(	const Db *	db1,
		const Db *	db2,
		int	ivar = `0`,
		int	jvar = `0`,
		double	eps = `0.`,
		int	seed = `434132`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Calculate the (weighted) average Covariance between samples of two Dbs, for a pair of variables

Parameters

db1	Pointer to the first Db
db2	Pointer to the second Db
ivar	Rank of the first variables
jvar	Rank of the second variable
eps	Epsilon used for randomization in calculation of CVV (optional)
seed	Seed for the randomization
mode	CovCalcMode structure

Returns

◆ evalAverageIncrToIncr()

double ACov::evalAverageIncrToIncr	(	const VectorVectorDouble &	d1,
		const VectorVectorDouble &	d2,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ evalAveragePointToDb()

double ACov::evalAveragePointToDb	(	const SpacePoint &	p1,
		const Db *	db2,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Calculate the (weighted) average Covariance between a point and a Db for a pair of variables

Parameters

p1	Point location
db2	Pointer to the second Db
ivar	Rank of the first variables
jvar	Rank of the second variable
mode	CovCalcMode structure

Returns

◆ evalCov()

double ACov::evalCov	(	const SpacePoint &	p1,
		const SpacePoint &	p2,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Calculate the covariance between two variables and two points (general case)

◆ evalCovMat()

MatrixDense ACov::evalCovMat	(	const Db *	db1,
		const Db *	db2 = `nullptr`,
		int	ivar0 = `-1`,
		int	jvar0 = `-1`,
		const VectorInt &	nbgh1 = `VectorInt()`,
		const VectorInt &	nbgh2 = `VectorInt()`,
		const CovCalcMode *	mode = `nullptr`,
		bool	cleanOptim = `true`
	)		const

Establish the covariance matrix between two Dbs Takes into account selection and heterotopy

Returns: Dense matrix containing the covariance matrix

Parameters

[in]	db1	First Db
[in]	db2	Second Db (= db1 if absent)
[in]	ivar0	Rank of the first variable (-1 for all variables)
[in]	jvar0	Rank of the second variable (-1 for all variables)
[in]	nbgh1	Vector of indices of active samples in db1 (optional)
[in]	nbgh2	Vector of indices of active samples in db2 (optional)
[in]	mode	CovCalcMode structure
[in]	cleanOptim	When True, clean optimization internal when ended

Remarks: If a Db does not contain any Z-variable defined, the covariance; cannot treat possible heterotopy and therefore uses all samples; The returned matrix if dimension to nrows * ncols where; each term is the product of the number of active samples; by the number of samples where the variable is defined

Note: 'dbin' and 'dbout' cannot be made 'const' as they can be updated; due to the presence of 'nostat'

◆ evalCovMat0()

MatrixSymmetric ACov::evalCovMat0	(	const Db *	db,
		int	iech,
		const KrigOpt &	krigopt = `KrigOpt()`
	)		const

Functions for evaluating Covariance Matrices either in place or not.

◆ evalCovMat0InPlace()

int ACov::evalCovMat0InPlace	(	MatrixSymmetric &	mat,
		const Db *	db,
		int	iech,
		const KrigOpt &	krigopt = `KrigOpt()`
	)		const

◆ evalCovMatInPlace()

int ACov::evalCovMatInPlace	(	MatrixDense &	mat,
		const Db *	db1,
		const Db *	db2 = `nullptr`,
		int	ivar0 = `-1`,
		int	jvar0 = `-1`,
		const VectorInt &	nbgh1 = `VectorInt()`,
		const VectorInt &	nbgh2 = `VectorInt()`,
		const CovCalcMode *	mode = `nullptr`,
		bool	cleanOptim = `true`
	)		const

◆ evalCovMatInPlaceFromIdx()

int ACov::evalCovMatInPlaceFromIdx	(	MatrixDense &	mat,
		const Db *	db1,
		const Db *	db2,
		const VectorVectorInt &	index1,
		const VectorVectorInt &	index2,
		const VectorInt &	nbgh2 = `VectorInt()`,
		const CovCalcMode *	mode = `nullptr`,
		bool	cleanOptim = `true`
	)		const

◆ evalCovMatRHSInPlaceFromIdx()

int ACov::evalCovMatRHSInPlaceFromIdx	(	MatrixDense &	mat,
		const Db *	db1,
		const Db *	db2,
		const VectorVectorInt &	index1,
		const int	iech2 = `-1`,
		const KrigOpt &	krigopt = `KrigOpt()`,
		bool	cleanOptim = `true`
	)		const

Establish covariance matrix between one Db and one sample of a Target Db

Returns: Dense matrix containing the covariance matrix

Parameters

[in]	mat	Matrix (possibly resized)
[in]	db1	First Db
[in]	db2	Second Db
[in]	index1	Vector of vector indices of active samples in db1
[in]	iech2	Sample rank within db2
[in]	krigopt	KrigOpt structure
[in]	cleanOptim	When True, clean optimization internal when ended

Remarks: If a Db does not contain any Z-variable defined, the covariance; cannot treat possible heterotopy and therefore uses all samples; The returned matrix if dimension to nrows * 1 where; each 'nrows' is the number of active samples; by the number of samples where the variable is defined

Note: 'dbin' and 'dbout' cannot be made 'const' as they can be updated; due to the presence of 'nostat'

◆ evalCovMatSparse()

MatrixSparse * ACov::evalCovMatSparse	(	const Db *	db1,
		const Db *	db2 = `nullptr`,
		int	ivar0 = `-1`,
		int	jvar0 = `-1`,
		const VectorInt &	nbgh1 = `VectorInt()`,
		const VectorInt &	nbgh2 = `VectorInt()`,
		const CovCalcMode *	mode = `nullptr`,
		bool	cleanOptim = `true`,
		double	eps = `EPSILON3`
	)		const

Establish the covariance matrix between two Dbs where samples are selected by ranks The output is stored in a Sparse Matrix

Returns: Sparse matrix containing the covariance matrix

Parameters

[in]	db1	First Db
[in]	db2	Second Db
[in]	ivar0	Rank of the first variable (-1: all variables)
[in]	jvar0	Rank of the second variable (-1: all variables)
[in]	nbgh1	Array giving ranks of selected samples (optional)
[in]	nbgh2	Array giving ranks of selected samples (optional)
[in]	mode	CovCalcMode structure
[in]	cleanOptim	When True, clean optimization internal when ended
[in]	eps	Tolerance for discarding a covariance value

Remarks: The covariance matrix (returned) must be freed by calling routine; The covariance matrix is established for the first variable; and returned as a covariance; As the ranks are used, no test is performed on any selection; but only ranks positive or null are considered

◆ evalCovMatSym()

MatrixSymmetric ACov::evalCovMatSym	(	const Db *	db1,
		const VectorInt &	nbgh1 = `VectorInt()`,
		int	ivar0 = `-1`,
		const CovCalcMode *	mode = `nullptr`,
		bool	cleanOptim = `true`
	)		const

Establish the covariance matrix within a Db Takes into account selection and heterotopy This method takes advantage of calculating covariance between a Db and itself

Returns: Dense matrix containing the covariance matrix

Parameters

[in]	db1	First Db
[in]	ivar0	Rank of the first variable (-1 for all variables)
[in]	nbgh1	Vector of indices of active samples in db1 (optional)
[in]	mode	CovCalcMode structure
[in]	cleanOptim	When True, clean optimization internal arrays at end

Remarks: If a Db does not contain any Z-variable defined, the covariance; cannot treat possible heterotopy and therefore uses all samples; The returned matrix if dimension to nrows * ncols where; each term is the product of the number of active samples; by the number of samples where the variable is defined

◆ evalCovMatSymInPlace()

int ACov::evalCovMatSymInPlace	(	MatrixSymmetric &	mat,
		const Db *	db1,
		const VectorInt &	nbgh1 = `VectorInt()`,
		int	ivar0 = `-1`,
		const CovCalcMode *	mode = `nullptr`,
		bool	cleanOptim = `true`
	)		const

◆ evalCovMatSymInPlaceFromIdx()

int ACov::evalCovMatSymInPlaceFromIdx	(	MatrixSymmetric &	mat,
		const Db *	db1,
		const VectorVectorInt &	index1,
		const CovCalcMode *	mode = `nullptr`,
		bool	cleanOptim = `true`
	)		const

◆ evalCovOnSphere()

virtual double ACov::evalCovOnSphere	(	double	alpha,
		int	degree = `50`,
		bool	flagScaleDistance = `false`,
		const CovCalcMode *	mode = `nullptr`
	)		const

inlinevirtual

Reimplemented in CorAniso, and CovAniso.

◆ evalCovVecRHSInPlace()

int ACov::evalCovVecRHSInPlace	(	vect	vect,
		const Db *	db2,
		const VectorInt &	index1,
		int	iech2,
		const KrigOpt &	krigopt,
		SpacePoint &	pin,
		SpacePoint &	pout,
		VectorDouble &	tabwork,
		double	lambda = `1.`
	)		const

◆ evalCvv()

double ACov::evalCvv	(	const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Average covariance over a block

Parameters

ext	Vector of Block extensions
ndisc	Vector of Block discretization
angles	Vector of rotation angles
ivar	Rank of the first variable
jvar	Rank of the second variable
mode	CovCalcMode structure

Returns

◆ evalCvvM()

MatrixSquare ACov::evalCvvM	(	const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ evalCvvShift()

double ACov::evalCvvShift	(	const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	shift,
		const VectorDouble &	angles = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Average covariance between a block and the same block shifted

Parameters

ext	Vector of Block extensions
ndisc	Vector of Block discretization
angles	Vector of rotation angles
shift	Shift between the two blocks
ivar	Rank of the first variable
jvar	Rank of the second variable
mode	CovCalcMode structure

Returns

◆ evalCxv() [1/2]

double ACov::evalCxv	(	const Db *	db,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ evalCxv() [2/2]

double ACov::evalCxv	(	const SpacePoint &	p1,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Average covariance over a block

Parameters

p1	Point location
ext	Vector of Block extensions
ndisc	Vector of Block discretization
angles	Vector of rotation angles
x0	Vector for origin of block
ivar	Rank of the first variable
jvar	Rank of the second variable
mode	CovCalcMode structure

Returns

◆ evalCxvM()

MatrixSquare ACov::evalCxvM	(	const SpacePoint &	p1,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ evalIsoIvarIpas()

double ACov::evalIsoIvarIpas	(	double	step,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Covariance for a given unit global distance (without anisotropy) for a pair of variables and a single step

Parameters

ivar	Rank of the first variable
jvar	Rank of the second variable
step	Step value
mode	CovCalcMode structure

Returns

TODO : Not true whatever the space

◆ evalIsoIvarNlag()

VectorDouble ACov::evalIsoIvarNlag	(	const VectorDouble &	vec_step,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Covariance for a given unit global distance (without anisotropy) for a pair of variables and a set of steps

Parameters

ivar
jvar
vec_step
mode

Returns

◆ evalIsoNvarIpas()

MatrixSquare ACov::evalIsoNvarIpas	(	double	step,
		const CovCalcMode *	mode = `nullptr`
	)		const

Covariance for a given unit global distance (without anisotropy) for a set of variables and a single step

Parameters

step	Step value
mode	CovCalcMode structure

Returns

◆ evalIvarIpas()

double ACov::evalIvarIpas	(	double	step,
		const VectorDouble &	dir = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Covariance from a given point (center) in a given direction (dir *step)

Parameters

ivar	Rank of the first variable
jvar	Rank of the second variable
step	Step value
dir	Direction definition
mode	CovCalcMode structure

Returns

◆ evalIvarIpasIncr()

double ACov::evalIvarIpasIncr	(	const VectorDouble &	dincr,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ evalIvarNlag()

VectorDouble ACov::evalIvarNlag	(	const VectorDouble &	vec_step,
		const VectorDouble &	dir = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Covariance vector from a given point (center) in a given direction (dir * steps) for a pair of variables and a set of steps

Parameters

ivar	Rank of the first variable
jvar	Rank of the second variable
vec_step	Vector of step values
dir	Direction definition
mode	CovCalcMode structure

Returns

◆ evalNvarIpas()

MatrixSquare ACov::evalNvarIpas	(	double	step,
		const VectorDouble &	dir = `VectorDouble()`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Covariance Matrix from a given point (center) in a given direction (dir * step) for a set of variables and a given step

Parameters

step	Step value
dir	Direction definition
mode	CovCalcMode structure

Returns

◆ evalNvarIpasIncr()

MatrixSquare ACov::evalNvarIpasIncr	(	const VectorDouble &	dincr,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ evalPointToDb()

void ACov::evalPointToDb	(	VectorDouble &	values,
		const SpacePoint &	p1,
		const Db *	db2,
		int	ivar = `0`,
		int	jvar = `0`,
		bool	useSel = `true`,
		const VectorInt &	nbgh2 = `VectorInt()`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Calculate the Covariance vector between a Point and all the samples of a Db, for a pair of variables

Parameters

values	Array of returned values (possible resized)
p1	Point location
db2	Pointer to the second Db
ivar	Rank of the first variables
jvar	Rank of the second variable
useSel	When TRUE, the returned vector is reduced to active samples Otherwise, returns TEST for masked samples
nbgh2	Vector of indices of active samples in db2 (optional)
mode	CovCalcMode structure

◆ evalPointToDbAsSP()

void ACov::evalPointToDbAsSP	(	VectorDouble &	values,
		const std::vector< SpacePoint > &	p1s,
		const SpacePoint &	p2,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

◆ evalSpectrum()

virtual double ACov::evalSpectrum	(	const VectorDouble &	freq,
		int	ivar,
		int	jvar
	)		const

inlinevirtual

Reimplemented in CorAniso, and CovAniso.

◆ evalSpectrumOnSphere()

virtual VectorDouble ACov::evalSpectrumOnSphere	(	int	n,
		bool	flagNormDistance = `false`,
		bool	flagCumul = `false`
	)		const

inlinevirtual

Reimplemented in CorAniso, and CovAniso.

◆ evaluateFromDb()

VectorDouble ACov::evaluateFromDb	(	Db *	db,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Evaluate the model on a Db

Parameters

[in]	db	Db structure
[in]	ivar	Rank of the first variable
[in]	jvar	Rank of the second variable
[in]	mode	CovCalcMode structure

◆ evaluateMatInPlace()

void ACov::evaluateMatInPlace	(	const CovInternal *	covint,
		const VectorDouble &	d1,
		MatrixSquare &	covtab,
		bool	flag_init = `false`,
		double	weight = `1.`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Returns the covariances for an increment This is the generic internal function It can be called for stationary or non-stationary case

Parameters

[in]	covint	Internal structure for non-stationarityAddress for the next term after the drift or NULL (for stationary case)
[in]	mode	CovCalcMode structure
[in]	flag_init	Initialize the array beforehand
[in]	weight	Multiplicative weight
[in]	d1	Distance vector
[out]	covtab	Covariance array

◆ evaluateOneGeneric()

double ACov::evaluateOneGeneric	(	const CovInternal *	covint,
		const VectorDouble &	d1 = `VectorDouble()`,
		double	weight = `1.`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Returns the covariance for an increment This is the generic internal function It can be called for stationary or non-stationary case

Parameters

[in]	covint	Internal structure for non-stationarityAddress for the next term after the drift or NULL (for stationary case)
[in]	mode	CovCalcMode structure
[in]	weight	Multiplicative weight
[in]	d1	Distance vector

◆ evaluateOneIncr()

double ACov::evaluateOneIncr	(	double	hh,
		const VectorDouble &	codir = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Calculate the value of the model for a set of distances

Returns: The model value

Parameters

[in]	ivar	Rank of the first variable
[in]	jvar	Rank of the second variable
[in]	mode	CovCalcMode structure
[in]	codir	Array giving the direction coefficients (optional)
[in]	hh	Vector of increments

◆ extensionVariance()

double ACov::extensionVariance	(	const Db *	db,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`
	)		const

Variance of Extension of a set of points and the block

Parameters

db	Reference Data Base
ext	Vector giving the extensions of the target block
ndisc	Vector giving the discretization
angles	Vector for the rotation angles of the block (optional)
x0	Optional origin of the Block
ivar	Rank of the first variable
jvar	Rank of the second variable

Returns

◆ getContext()

const CovContext & ACov::getContext ( ) const

inline

◆ getContextCopy()

CovContext ACov::getContextCopy ( ) const

inline

◆ getDbNoStat()

std::shared_ptr< const Db > ACov::getDbNoStat ( ) const

◆ getDbNoStatRaw()

const Db * ACov::getDbNoStatRaw ( ) const

◆ getNDim()

int ACov::getNDim ( int ispace = -1 ) const

inline

◆ getNVar()

virtual int ACov::getNVar ( ) const

inlinevirtual

ACov Interface.

Reimplemented in CorAniso, CorGneiting, CorMatern, CovAnisoList, CovBase, and CovList.

◆ getValue()

virtual double ACov::getValue	(	const EConsElem &	econs,
		int	iv1,
		int	iv2
	)		const

inlinevirtual

Reimplemented in CorAniso, and CovBase.

◆ gofDisplay()

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

static

Printout of statement concerning the Quality of the GOF

Parameters

gof	Value of the Gof
byValue	true: display GOF value; false: print its quality level
thresholds	Vector giving the Quality thresholds

◆ gofToVario()

double ACov::gofToVario	(	const Vario *	vario,
		bool	verbose = `true`
	)		const

Evaluate the Goodness-of_fit of the Model on the Experimental Variogram It is expressed as the average departure between Model and Variogram scaled to the variance. As this variance may be poorly calculated (< gmax / 5), it may be replaced by the largest value (gmax) divided by 2 (highly non_stationary cases).

Parameters

vario	Experimental variogram
verbose	Verbose flag

Returns: Value for the Goodness-of_fit (as percentage of the total sill)

◆ informCoords()

VectorDouble ACov::informCoords	(	const VectorVectorDouble &	coords,
		const EConsElem &	econs,
		int	iv1 = `0`,
		int	iv2 = `0`
	)		const

◆ informDbIn()

void ACov::informDbIn ( const Db * dbin ) const

◆ informDbOut()

void ACov::informDbOut ( const Db * dbout ) const

◆ informMeshByApex()

void ACov::informMeshByApex ( const AMesh * amesh ) const

◆ informMeshByMesh()

void ACov::informMeshByMesh ( const AMesh * amesh ) const

◆ initFromContext()

void ACov::initFromContext ( )

inline

◆ isIndexable()

virtual bool ACov::isIndexable ( ) const

inlinevirtual

Reimplemented in CovAnisoList, and CovList.

◆ isNoStat()

bool ACov::isNoStat ( ) const

inline

◆ isOptimEnabled()

virtual bool ACov::isOptimEnabled ( ) const

inlinevirtual

Functions linked to Optimization during Covariance calculations.

◆ load()

void ACov::load	(	const SpacePoint &	p,
		bool	case1
	)		const

◆ loadInfoValues()

virtual void ACov::loadInfoValues ( )

inlinevirtual

Reimplemented in CovBase.

◆ makeElemNoStat()

int ACov::makeElemNoStat	(	const EConsElem &	econs,
		int	iv1,
		int	iv2,
		const AFunctional *	func = `nullptr`,
		const Db *	db = `nullptr`,
		const String &	namecol = `String()`
	)

virtual

Reimplemented in CovBase, and CovList.

◆ makeStationary()

void ACov::makeStationary ( )

◆ manage()

void ACov::manage	(	const Db *	db1,
		const Db *	db2
	)		const

inline

◆ operator=()

ACov & ACov::operator= ( const ACov & r )

◆ optimizationLoadInPlace()

SpacePoint & ACov::optimizationLoadInPlace	(	int	iech,
		int	mode,
		int	rank
	)		const

◆ optimizationPostProcess()

void ACov::optimizationPostProcess ( ) const

◆ optimizationPreProcess()

void ACov::optimizationPreProcess	(	int	mode,
		const std::vector< SpacePoint > &	ps
	)		const

◆ optimizationPreProcessForData()

void ACov::optimizationPreProcessForData ( const Db * db1 = nullptr ) const

◆ optimizationSetTarget()

void ACov::optimizationSetTarget ( SpacePoint & pt ) const

◆ sample()

VectorDouble ACov::sample	(	const VectorDouble &	h,
		const VectorDouble &	codir = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`,
		const CovCalcMode *	mode = `nullptr`,
		const CovInternal *	covint = `nullptr`
	)		const

Calculate the value of the model for a set of distances

Returns: Array containing the model values

Parameters

[in]	ivar	Rank of the first variable
[in]	jvar	Rank of the second variable
[in]	codir	Array giving the direction coefficients (optional)
[in]	h	Vector of increments
[in]	mode	CovCalcMode structure
[in]	covint	Non-stationary parameters

◆ sampleUnitary()

VectorDouble ACov::sampleUnitary	(	const VectorDouble &	hh,
		int	ivar = `0`,
		int	jvar = `0`,
		VectorDouble	codir = `VectorDouble()`,
		const CovCalcMode *	mode = `nullptr`
	)		const

Returns the value of the normalized covariance (by the variance/covariance value) for a given pair of variables

Parameters

hh	Vector of distances
ivar	Rank of the first variable
jvar	Rank of the second variable
codir	Direction coefficients
mode	CovCalcMode structure

Returns

◆ samplingDensityVariance()

double ACov::samplingDensityVariance	(	const Db *	db,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`
	)		const

Calculate the Sampling Density Variance

Parameters

db	Set of data points
ext	Block extension
ndisc	Discretization
angles	Optional rotation angles for the Block
x0	Optional origin of the block
ivar	Rank of the first variable
jvar	Rank of the second variable

Returns

◆ setContext()

void ACov::setContext ( const CovContext & ctxt )

◆ setNoStatDbIfNecessary() [1/2]

void ACov::setNoStatDbIfNecessary ( const Db * db )

◆ setNoStatDbIfNecessary() [2/2]

void ACov::setNoStatDbIfNecessary ( std::shared_ptr< const Db > & db )

◆ setOptimEnabled()

virtual void ACov::setOptimEnabled ( bool enabled ) const

inlinevirtual

Reimplemented in CovBase, and CovList.

◆ specificVolume()

double ACov::specificVolume	(	const Db *	db,
		double	mean,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`
	)		const

Calculate the Specific Volume

Parameters

db	Set of data points
mean	Value of the Mean
ext	Target Block extension
ndisc	Vector of discretization
angles	Optional rotation angle for block
x0	Optional origin of the Block
ivar	Rank of the first variable
jvar	Rank of the second variable

Returns

◆ specificVolumeFromCoV()

double ACov::specificVolumeFromCoV	(	Db *	db,
		double	cov,
		double	mean,
		const VectorDouble &	ext,
		const VectorInt &	ndisc,
		const VectorDouble &	angles = `VectorDouble()`,
		const VectorDouble &	x0 = `VectorDouble()`,
		int	ivar = `0`,
		int	jvar = `0`
	)		const

Derive the Specific volume for a given CoV

Parameters

db	Set of data points
cov	Target Coefficient of Variation
mean	Value of the Mean
ext	Target Block extension
ndisc	Vector of discretization
angles	Optional rotation angle for block
x0	Optional origin of the Block
ivar	Rank of the first variable
jvar	Rank of the second variable

Returns

◆ updateCovByMesh()

virtual void ACov::updateCovByMesh	(	int	imesh,
		bool	aniso = `true`
	)		const

inlinevirtual

Reimplemented in CorAniso, and CovBase.

◆ updateCovByPoints() [1/2]

virtual void ACov::updateCovByPoints	(	int	icas1,
		int	iech1,
		int	icas2,
		int	iech2
	)

inlinevirtual

Reimplemented in CorAniso.

◆ updateCovByPoints() [2/2]

virtual void ACov::updateCovByPoints	(	int	icas1,
		int	iech1,
		int	icas2,
		int	iech2
	)		const

inlinevirtual

Reimplemented in CovBase, and CovList.

◆ updateFromContext()

void ACov::updateFromContext ( )

inline

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

include/Covariances/ACov.hpp
src/Covariances/ACov.cpp

Detailed Description

Public Member Functions

Static Public Member Functions

Constructor & Destructor Documentation

◆ ACov() [1/2]

◆ ACov() [2/2]

◆ ~ACov()

Member Function Documentation

◆ addEvalCovVecRHSInPlace()

◆ attachNoStatDb()

◆ buildVmapOnDbGrid()

◆ calculateStDev()

◆ checkAndManageNoStatDb()

◆ coefficientOfVariation()

◆ copyCovContext()

◆ createNoStatTab()

◆ envelop()

◆ eval()

◆ eval0()

◆ eval0CovMatBiPointInPlace()

◆ eval0Mat()

◆ evalAverageDbToDb()

◆ evalAverageIncrToIncr()

◆ evalAveragePointToDb()

◆ evalCov()

◆ evalCovMat()

◆ evalCovMat0()

◆ evalCovMat0InPlace()

◆ evalCovMatInPlace()

◆ evalCovMatInPlaceFromIdx()

◆ evalCovMatRHSInPlaceFromIdx()

◆ evalCovMatSparse()

◆ evalCovMatSym()

◆ evalCovMatSymInPlace()

◆ evalCovMatSymInPlaceFromIdx()

◆ evalCovOnSphere()

◆ evalCovVecRHSInPlace()

◆ evalCvv()

◆ evalCvvM()

◆ evalCvvShift()

◆ evalCxv() [1/2]

◆ evalCxv() [2/2]

◆ evalCxvM()

◆ evalIsoIvarIpas()

◆ evalIsoIvarNlag()

◆ evalIsoNvarIpas()

◆ evalIvarIpas()

◆ evalIvarIpasIncr()

◆ evalIvarNlag()

◆ evalNvarIpas()

◆ evalNvarIpasIncr()

◆ evalPointToDb()

◆ evalPointToDbAsSP()

◆ evalSpectrum()

◆ evalSpectrumOnSphere()

◆ evaluateFromDb()

◆ evaluateMatInPlace()

◆ evaluateOneGeneric()

◆ evaluateOneIncr()

◆ extensionVariance()

◆ getContext()

◆ getContextCopy()

◆ getDbNoStat()

◆ getDbNoStatRaw()

◆ getNDim()

◆ getNVar()

◆ getValue()

◆ gofDisplay()

◆ gofToVario()

◆ informCoords()

◆ informDbIn()

◆ informDbOut()

◆ informMeshByApex()

◆ informMeshByMesh()

◆ initFromContext()

◆ isIndexable()

◆ isNoStat()

◆ isOptimEnabled()

◆ load()

◆ loadInfoValues()