CalcAnamTransform.hpp File Reference

#include "gstlearn_export.hpp"
#include "geoslib_define.h"
#include "Calculators/ACalcDbVarCreator.hpp"
#include "Anamorphosis/AAnam.hpp"
#include "Anamorphosis/AnamHermite.hpp"
#include "Stats/Selectivity.hpp"

Classes
class	CalcAnamTransform

Functions
GSTLEARN_EXPORT int	DisjunctiveKriging (Db *db, AAnam *anam, Selectivity *selectivity, const VectorString &name_est, const VectorString &name_std, const NamingConvention &namconv=NamingConvention("DK"))
GSTLEARN_EXPORT int	ConditionalExpectation (Db *db, AAnam *anam, Selectivity *selectivity=nullptr, const String &name_est="", const String &name_std="", bool flag_OK=false, double proba=TEST, int nbsimu=0, const NamingConvention &namconv=NamingConvention("CE"))
GSTLEARN_EXPORT int	UniformConditioning (Db *db, AAnam *anam, Selectivity *selectivity, const String &name_est, const String &name_varz, const NamingConvention &namconv=NamingConvention("UC"))
GSTLEARN_EXPORT int	anamPointToBlock (AAnam *anam, int verbose, double cvv, double coeff, double mu)

Function Documentation

anamPointToBlock()

GSTLEARN_EXPORT int anamPointToBlock	(	AAnam *	anam,
		int	verbose,
		double	cvv,
		double	coeff,
		double	mu
	)

Transform a point anamorphosis into a block anamorphosis

Returns

Error return code

Parameters

[in]	anam	Point anamorphosis -> Block anamorphosis [out]
[in]	verbose	Verbose option
[in]	cvv	Block variance
[in]	coeff	Coefficient of change of support
[in]	mu	Additional coefficient for Discrete case

Remarks

If 'coeff' is provided, it is used directly ('cvv' is ignored)

Otherwise, it is derived from 'cvv'

ConditionalExpectation()

GSTLEARN_EXPORT int ConditionalExpectation	(	Db *	db,
		AAnam *	anam,
		Selectivity *	selectivity,
		const String &	name_est,
		const String &	name_std,
		bool	flag_OK,
		double	proba,
		int	nbsimu,
		const NamingConvention &	namconv
	)

Calculate the Conditional Expectation

Returns

Error return code

Parameters

[in]	db	Db structure containing the factors (Z-locators)
[in]	anam	Point anamorphosis
[in]	selectivity	Selectivity structure
[in]	name_est	Name of the Kriging estimate
[in]	name_std	Name of the Kriging St. deviation
[in]	flag_OK	1 if kriging has ben performed in Ordinary Kriging
[in]	proba	Probability
[in]	nbsimu	Number of Simulation outcomes
[in]	namconv	Naming convention

DisjunctiveKriging()

GSTLEARN_EXPORT int DisjunctiveKriging	(	Db *	db,
		AAnam *	anam,
		Selectivity *	selectivity,
		const VectorString &	name_est,
		const VectorString &	name_std,
		const NamingConvention &	namconv
	)

Calculate the recoveries (z,T,Q,m,B) starting from the factors

Returns

Error return code

Parameters

[in]	db	Db structure containing the factors (Z-locators)
[in]	anam	Point anamorphosis
[in]	selectivity	Selectivity structure
[in]	name_est	Array of variable names for factor estimation
[in]	name_std	Array of variable names for factor St. Dev.
[in]	namconv	Naming convention

UniformConditioning()

GSTLEARN_EXPORT int UniformConditioning	(	Db *	db,
		AAnam *	anam,
		Selectivity *	selectivity,
		const String &	name_est,
		const String &	name_varz,
		const NamingConvention &	namconv
	)

Calculate the Uniform Conditioning

Returns

Error return code

Parameters

[in]	db	Db structure containing the factors (Z-locators)
[in]	anam	Point anamorphosis
[in]	selectivity	Selectivity structure
[in]	name_est	Name of the Kriging estimate
[in]	name_varz	Name of the Variance of Kriging estimate
[in]	namconv	Naming Convention

Remarks

We need the variance of Estimation Error... even if it will be

temporarily stored in a member names iptrStd.