Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123]

▼NURANIE
▼NSampler
CTAMHCopula	Description of the class TAMHCopula
CTArchimedianCopula	Description of the class TArchimedianCopula
CTBasicSampling	Description of the class TBasicSampling
CTClaytonCopula	Description of the class TClaytonCopula
CTConstrLHS	Description of the class TConstrLHS
CTCopula	Description of the class TCopula
CTEllipticalCopula	Description of the class TEllipticalCopula
CTFrankCopula	Description of the class TFrankCopula
CTGaussianCopula	Description of the class TGaussianCopula
CTGaussianSampling	Description of the class TGaussianSampling
CTHaltonSequence	Description of the class THaltonSequence
CTImportanceSampling
CTMaxiMinLHS	Description of the class TMaxiMinLHS
CTNeuralGas	Implement the Neural Gas algorithm (Martinetz and Schulten, 1991)
CTOA	Description of the class TOA
CTOATDesign	This class creates a "One factor At a Time" design of experiment. It has been developped mainly for finite differences sensitivity computation
CTOATSampling	This class creates a "One factor At a Time" design of experiment. It has been developped mainly for finite differences sensitivity computation
CTOATSamplingMultiNominal	This class has been renamed. Please use TOATDesign instead
CTPetras	Description of the class URANIE::Sampler::TPetras
CTPlackettCopula	Description of the class TPlackettCopula
CTQMC	Description of a variable (field)
CTRafuSampling	Description of the class TRafuSampling
CTSampler	Abstraite class for sampling methods
CTSamplerDeterminist
CTSamplerField
CTSamplerStochastic
CTSampling
CTSamplingMixture	Interface with the simplex class developped by B. Secher (LGLS)
CTSequence	Description of a sequence (qMC)
CTSobolSequence	Description of the class TSobolSequence
CTSpaceFilling	Description of a generation of sample by space filling (FAST)
CTVQ	Abstract class for Vectorial Quantification (VQ) algorithms
CTDistribution
CTMCMC
CTMelange
CTNormale
CTUniforme