Class which, starting from an experimental variogram, enables fitting the various parameters of a Covariance part of a Model. More...

#include <ModelOptimLikelihood.hpp>

Inheritance diagram for ModelOptimLikelihood:

Detailed Description

Class which, starting from an experimental variogram, enables fitting the various parameters of a Covariance part of a Model.

Public Member Functions
	ModelOptimLikelihood (Model *model)

	ModelOptimLikelihood (const ModelOptimLikelihood &m)

ModelOptimLikelihood &	operator= (const ModelOptimLikelihood &m)

virtual	~ModelOptimLikelihood ()

int	fit (Db *db, bool flagSPDE=false, bool verbose=false)

int	loadEnvironment (Db *db, bool flagSPDE=false, bool verbose=false)

Public Member Functions inherited from AModelOptim
	AModelOptim (Model model, Constraints constraints=nullptr, const Option_AutoFit &mauto=Option_AutoFit(), const Option_VarioFit &optvar=Option_VarioFit())

	AModelOptim (const AModelOptim &m)

AModelOptim &	operator= (const AModelOptim &m)

virtual	~AModelOptim ()

Static Public Member Functions
static double	evalCost (unsigned int nparams, const double current, double grad, void *my_func_data)

Constructor & Destructor Documentation

ModelOptimLikelihood::ModelOptimLikelihood ( Model * model )

ModelOptimLikelihood::ModelOptimLikelihood ( const ModelOptimLikelihood & m )

ModelOptimLikelihood::~ModelOptimLikelihood ( )

virtual

double ModelOptimLikelihood::evalCost	(	unsigned int	nparams,
		const double *	current,
		double *	grad,
		void *	my_func_data
	)

static

int ModelOptimLikelihood::fit	(	Db *	db,
		bool	flagSPDE = `false`,
		bool	verbose = `false`
	)

int ModelOptimLikelihood::loadEnvironment	(	Db *	db,
		bool	flagSPDE = `false`,
		bool	verbose = `false`
	)

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

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