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    v4.10.0
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TSampling.h
  
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Definition: TAMHCopula.h:59
void generateSampleByDakota()
Generates the sample by the Dakota module. 
Definition: TSampling.h:73
Definition: TSampling.h:73
EType _ntype
The type of sampling (SRS, LHS) 
Definition: TSampling.h:78
TSampling(URANIE::DataServer::TDataServer *tds, Option_t *option="lhs", Int_t nCalcul=1000)
Constructor from a TDataServer, the name of the method and the size of the sample. 
Definition: TSampling.h:65
Creation of the abstract class TSamplerStochastic. 
void generateSample(Option_t *option="")
Generates the sample. 
void computeCorrelationMatrix(TMatrixD matOrg)
Computes the correlation matrix for a TMatrixD. 
bool _buseSVDquiet
useSVD instead of Cholesky to factorize the input correlation matrix 
Definition: TSampling.h:80
Definition: TSampling.h:73
void setUserCorrelation(Int_t indx, Int_t indy, double value)
Defines a correlation between two attributes given by their indexes. 
void setCorrelationMatrix(TMatrixD corrMat)
Set the correlation matrix. 
Definition: TSamplerStochastic.h:43
bool _buseSVD
useSVD instead of Cholesky to factorize the input correlation matrix 
Definition: TSampling.h:79
TMatrixD _corrIndexPosition
The permutation for giving the rank correlation matrix given by the user. 
Definition: TSampling.h:77
TMatrixD _corrmatrix
The correlation matrix. 
Definition: TSampling.h:76
void setSaveRang(Int_t rang=0)
EMPTY:: TSampling::setSaveRang. 
void setTypeSampling(Option_t *option)
void CorrelationFactorization()
Decomposes the correlation matrix. 
 
 
                                