UQTk: Uncertainty Quantification Toolkit 3.1.5
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CArray1D< T > | Stores data of any type T in a 1D array |
CArray1D< Array1D< double > > | |
CArray1D< Array1D< int > > | |
CArray1D< Array2D< double >(*)(Array2D< double > &, Array2D< double > &, Array2D< double > &, void *) > | |
CArray1D< double > | |
CArray1D< int > | |
CArray1D< MCMC::chainstate > | |
CArray1D< Quad::QuadRule > | |
CArray1D< string > | |
CArray2D< T > | Stores data of any type T in a 2D array |
CArray2D< double > | |
CArray2D< int > | |
CArray2D< Quad::QuadRule > | |
CArray3D< T > | Stores data of any type T in a 3D array |
Cbase | |
CMCMC::chainstate | |
CdataPosteriorInformation | |
CDFI | |
CDFIsurr | |
▼Cstd::exception | |
CMyException | |
CGproc | Class for Gaussian processes |
CKLDecompUni | Computes the Karhunen-Loeve decomposition of a univariate stochastic process |
CLogPosteriorBase | |
▼CLreg | Class for linear parameteric regression |
CPCreg | Derived class for PC regression |
CPLreg | Derived class for polynomial regression |
CRBFreg | Derived class for RBF regression |
Cmain | |
CMCMC | Markov Chain Monte Carlo base class. Implemented the basic and most general MCMC algorithms |
CMrv | Multivariate RV parameterized by PC expansions |
▼CObject | |
CXMLAttributeList | |
CXMLElement | |
▼CXMLParser | |
CXMLExpatParser | |
CMCMC::outputInfo | |
CparameterPosteriorInformation | |
CPCBasis | Contains all basis type specific definitions and operations needed to generate a PCSet |
CPCSet | Defines and initializes PC basis function set and provides functions to manipulate PC expansions defined on this basis set |
▼CPost | Posterior evaluation with various likelihood and prior options |
CLik_ABC | Derived class for ABC likelihood |
CLik_ABCm | Derived class for ABC-mean likelihood |
CLik_Classical | Derived class for classical likelihood |
CLik_Eov | Derived class for error-in-variable likelihood |
CLik_Full | Derived class for full likelihood |
CLik_GausMarg | Derived class for gaussian-marginal likelihood |
CLik_GausMargD | Derived class for gaussian-marginal likelihood with discrete parameter |
CLik_Koh | Derived class for Kennedy-O'Hagan likelihood |
CLik_MVN | Derived class for mvn likelihood |
CLik_Marg | Derived class for marginal likelihood |
CQuad | Generates quadrature rules |
CQuad::QuadRule | Rule structure that stores quadrature points, weights and indices |
CRefPtr< T > | |
CRefPtr< XMLAttributeList > | |
CRefPtr< XMLElement > |