Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

CTasGrid::AlphaValue	Strong type for the alpha parameter used by some rules and distributions
CTasGrid::AnsitropicWeights	Strong type for the vector of integers representing the anisotropic weighs
CTasGrid::BetaValue	Strong type for the beta parameter used by some rules and distributions
CTasGrid::CustomRuleFilename	Strong type for the custom filename
CTasDREAM::DistributedPosterior< form >	Class that enables distributed DREAM sampling with MPI
CTasOptimization::GradientDescentState	Stores the information about a gradient descent run
CTasGrid::IsotropicWeights	Strong type for creating isotropic weights
CTasGrid::LevelLimits	Strong type for the vector of integers representing the anisotropic weighs
CTasGrid::NoLevelLimits	Strong type for creating a grid with no level limits
CTasOptimization::OptimizationStatus
CTasOptimization::ParticleSwarmState	Stores the information about a particle swarm
CTasDREAM::TasmanianDREAM	Contains the current state and the history of the DREAM chains
CTasDREAM::TasmanianLikelihood	Interface for the likelihood classes
CTasDREAM::LikelihoodGaussAnisotropic	Implements likelihood under the assumption of anisotropic white noise
CTasDREAM::LikelihoodGaussIsotropic	Implements likelihood under the assumption of isotropic white noise
CTasGrid::TasmanianSparseGrid	The master-class that represents an instance of a Tasmanian sparse grid