Documentation / Developer's manual
Available modules
Calibration,  DataServer,  Launcher,  MetaModelOptim,  Modeler,  Optimizer,  ReLauncher,  Reliability,  ReOptimizer,  Sampler,  Sensitivity,  UncertModeler,  XmlProblem,  
Uranie / Modeler v4.9.0
|
TIsotropicGaussianCorrFunction.h
Go to the documentation of this file.
Interface de la classe URANIE::Modeler::TCorrelationFunction.
int gpCorGaussIso(double *X1, double *X2, int n1, int n2, int d, double lc, double *C)
Description of the class TCorrelationFunction.
Definition TCorrelationFunction.h:53
Double_t * _lCorrLengths
array containing only the correlation lengths.
Definition TCorrelationFunction.h:60
Description of the class TIsotropicGaussianCorrFunction.
Definition TIsotropicGaussianCorrFunction.h:64
virtual void setParameters(Double_t *newParams)
Sets the parameters of the isotropic gaussian correlation function.
Definition TIsotropicGaussianCorrFunction.h:101
virtual ~TIsotropicGaussianCorrFunction()
Default destructor.
Double_t getCorrelationLength()
Definition TIsotropicGaussianCorrFunction.h:91
void setCorrLengths(Double_t *corrLength)
Sets the correlation lengths.
virtual void eval(Int_t n1, Double_t *x1, Int_t n2, Double_t *x2, Double_t *C)
Compute the correlation between x1 and x2.
virtual void printLog(Option_t *option="")
void setCorrelationLength(Double_t corrLength)
Sets the correlation length parameter.
TIsotropicGaussianCorrFunction(Int_t nbDim, Double_t corrLength=0.1)
Standard Constructor.
virtual TCorrelationFunction * clone()
Return a clone of the correlation function.