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

#include <ModelOptimVario.hpp>

Inheritance diagram for gstlrn::ModelOptimVario:

Detailed Description

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

Public Member Functions
	ModelOptimVario (ModelGeneric model, const Constraints constraints=nullptr, const ModelOptimParam &mop=ModelOptimParam())

	ModelOptimVario (const ModelOptimVario &m)

ModelOptimVario &	operator= (const ModelOptimVario &m)

virtual	~ModelOptimVario ()

double	computeCost (bool verbose=false) override

void	evalGrad (vect res) override

Public Member Functions inherited from gstlrn::AModelOptim
	AModelOptim (ModelGeneric *model=nullptr, bool verbose=false)

void	setEnvironment (const MatrixSymmetric &vars, double href, double epsilon=EPSILON6)

AModelOptim &	operator= (const AModelOptim &r)

void	setAuthorizedAnalyticalGradients (bool authorized)

bool	getAuthorizedAnalyticalGradients () const

virtual	~AModelOptim ()

void	setGradients (std::vector< std::function< double(const std::vector< double > &)> > &gradients)

void	setVerbose (bool verbose=false, bool trace=false)

double	eval (const std::vector< double > &x)

double	run ()

void	resetIter ()

std::shared_ptr< ListParams >	getParams () const

void	evalGradInEffectiveDimension (vect res)

Static Public Member Functions
static ModelOptimVario *	createForOptim (ModelGeneric model, const Vario vario, const Constraints *constraints=nullptr, const ModelOptimParam &mop=ModelOptimParam())

Constructor & Destructor Documentation

gstlrn::ModelOptimVario::ModelOptimVario	(	ModelGeneric *	model,
		const Constraints *	constraints = `nullptr`,
		const ModelOptimParam &	mop = `ModelOptimParam()`
	)

gstlrn::ModelOptimVario::ModelOptimVario ( const ModelOptimVario & m )

gstlrn::ModelOptimVario::~ModelOptimVario ( )

virtual

double gstlrn::ModelOptimVario::computeCost ( bool verbose = false )

overridevirtual

ModelOptimVario * gstlrn::ModelOptimVario::createForOptim	(	ModelGeneric *	model,
		const Vario *	vario,
		const Constraints *	constraints = `nullptr`,
		const ModelOptimParam &	mop = `ModelOptimParam()`
	)

static

void gstlrn::ModelOptimVario::evalGrad ( vect res )

overridevirtual

Reimplemented from gstlrn::AModelOptim.

ModelOptimVario & gstlrn::ModelOptimVario::operator= ( const ModelOptimVario & m )

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