Documentation / Manuel développeur
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Calibration,  DataServer,  Launcher,  MetaModelOptim,  Modeler,  Optimizer,  ReLauncher,  Reliability,  ReOptimizer,  Sampler,  Sensitivity,  UncertModeler,  XmlProblem,  
Uranie / Sampler v4.9.0
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TNormale.h
Go to the documentation of this file.
Creation of the abstract class TDistribution.
Definition TDistribution.h:65
Definition TNormale.h:48
TVectorD vectCentreReduit()
Simulates a centered reduced gaussian vector.
Definition TNormale.cxx:230
TVectorD getObsMultiDim()
Simulates a given gaussian vector from the decomposition of Choleski
Definition TNormale.cxx:272
void acceptationRejet()
Method for accepting-refusing to simulate a gaussian with a Cauchy law as instrumental distribution.
Definition TNormale.cxx:131
TNormale()
void simulationPolaire()
method of simulation of a centered reduced real normal law by the algorithme of Box-Muller
Definition TNormale.cxx:190
Double_t eval(TVectorD x)
Returns the value of the density along x of a multidimensional normal law.
Definition TNormale.cxx:99
ClassDef(TNormale, ID_SAMPLER)