Class which, starting from an experimental variogram, enables fitting the various parameters of a Covariance part of a Model. More...
#include <ModelOptimVario.hpp>
Class which, starting from an experimental variogram, enables fitting the various parameters of a Covariance part of a Model.
Public Member Functions | |
ModelOptimVario (Model *model, Constraints *constraints=nullptr, const Option_AutoFit &mauto=Option_AutoFit(), const Option_VarioFit &optvar=Option_VarioFit()) | |
ModelOptimVario (const ModelOptimVario &m) | |
ModelOptimVario & | operator= (const ModelOptimVario &m) |
virtual | ~ModelOptimVario () |
int | fit (Vario *vario, bool flagGoulard=true, int wmode=2, bool verbose=false) |
int | loadEnvironment (Vario *vario, bool flagGoulard=true, int wmode=2, 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) |
ModelOptimVario::ModelOptimVario | ( | Model * | model, |
Constraints * | constraints = nullptr , |
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const Option_AutoFit & | mauto = Option_AutoFit() , |
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const Option_VarioFit & | optvar = Option_VarioFit() |
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) |
ModelOptimVario::ModelOptimVario | ( | const ModelOptimVario & | m | ) |
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virtual |
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static |
int ModelOptimVario::fit | ( | Vario * | vario, |
bool | flagGoulard = true , |
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int | wmode = 2 , |
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bool | verbose = false |
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) |
int ModelOptimVario::loadEnvironment | ( | Vario * | vario, |
bool | flagGoulard = true , |
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int | wmode = 2 , |
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bool | verbose = false |
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) |
ModelOptimVario & ModelOptimVario::operator= | ( | const ModelOptimVario & | m | ) |