1.8.0
CCC
 
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gstlrn::ModelOptimVMap Class Reference

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

#include <ModelOptimVMap.hpp>

Inheritance diagram for gstlrn::ModelOptimVMap:
gstlrn::AModelOptim

Detailed Description

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

Public Member Functions

 ModelOptimVMap (ModelGeneric *model, const Constraints *constraints=nullptr, const ModelOptimParam &mop=ModelOptimParam())
 
 ModelOptimVMap (const ModelOptimVMap &m)
 
ModelOptimVMapoperator= (const ModelOptimVMap &m)
 
virtual ~ModelOptimVMap ()
 
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)
 
AModelOptimoperator= (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)
 
void run ()
 
void resetIter ()
 

Static Public Member Functions

static ModelOptimVMapcreateForOptim (ModelGeneric *model, const DbGrid *dbmap, const Constraints *constraints=nullptr, const ModelOptimParam &mop=ModelOptimParam())
 

Constructor & Destructor Documentation

◆ ModelOptimVMap() [1/2]

gstlrn::ModelOptimVMap::ModelOptimVMap ( ModelGeneric model,
const Constraints constraints = nullptr,
const ModelOptimParam mop = ModelOptimParam() 
)

◆ ModelOptimVMap() [2/2]

gstlrn::ModelOptimVMap::ModelOptimVMap ( const ModelOptimVMap m)

◆ ~ModelOptimVMap()

gstlrn::ModelOptimVMap::~ModelOptimVMap ( )
virtual

Member Function Documentation

◆ computeCost()

double gstlrn::ModelOptimVMap::computeCost ( bool  verbose = false)
overridevirtual

Implements gstlrn::AModelOptim.

◆ createForOptim()

ModelOptimVMap * gstlrn::ModelOptimVMap::createForOptim ( ModelGeneric model,
const DbGrid dbmap,
const Constraints constraints = nullptr,
const ModelOptimParam mop = ModelOptimParam() 
)
static

◆ evalGrad()

void gstlrn::ModelOptimVMap::evalGrad ( vect  res)
overridevirtual

Reimplemented from gstlrn::AModelOptim.

◆ operator=()

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

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