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Documentation / Developer's manual

Available modules

Calibration,  DataServer,  Launcher,  MetaModelOptim,  Modeler,  Optimizer,  ReLauncher,  Reliability,  ReOptimizer,  Sampler,  Sensitivity,  UncertModeler,  XmlProblem,   Uranie / Sampler: TNormale.cxx File Reference
Uranie / Sampler v4.9.0
/* @license-end */
TNormale.cxx File Reference

Implementation of the class representing the distribution of a multidimensional or real normal law. More...

#include "TNormale.h"
#include "TMath.h"
Include dependency graph for TNormale.cxx:

Functions

 ClassImp (TNormale) TNormale
 Constructor by default of the classs. The vector of means is equal to 0 and the matrice of variance covariance is * the matrix identity.
 

Detailed Description

Implementation of the class representing the distribution of a multidimensional or real normal law.

Function Documentation

◆ ClassImp()

ClassImp ( TNormale  )

Constructor by default of the classs. The vector of means is equal to 0 and the matrice of variance covariance is * the matrix identity.


A dimension of two is arbitrarly attributed to the vector created by default. This dimension is adjusted to the one of *the mean vector and the matrix of "correlation-standard deviation", which will be set afterward.

References TDistribution::initialisation().