queso-0.57.1
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Files | |
file | AlgorithmFactory.h [code] |
file | AlgorithmFactoryInitializer.h [code] |
file | asserts.h [code] |
file | BaseInputOptionsParser.h [code] |
file | BasicPdfsBase.h [code] |
Class for Basic PDFs. | |
file | BasicPdfsBoost.h [code] |
Class for Basic PDFs using Boost library. | |
file | BasicPdfsCXX11.h [code] |
Class for Basic PDFs using C++11 math functions. | |
file | BasicPdfsGsl.h [code] |
Class for Basic PDFs using Gsl library. | |
file | BoostInputOptionsParser.h [code] |
file | Defines.h [code] |
Definitions and a class to provide default options to pass to a QUESO environment. | |
file | DistArray.h [code] |
A class to store row-oriented multi-vectors of type T. | |
file | Environment.h [code] |
Class to set up a QUESO environment. | |
file | EnvironmentOptions.h [code] |
Class to allow options to be passed to a QUESO environment. | |
file | exceptions.h [code] |
file | Factory.h [code] |
file | FunctionBase.h [code] |
Abstract base class for function objects. | |
file | FunctionOperatorBuilder.h [code] |
Helper class for function and operator objects. This class is meant to hold common FEM library backend options in a library-agnostic fashion. | |
file | GslBlockMatrix.h [code] |
QUESO block matrix class using GSL. | |
file | GslMatrix.h [code] |
QUESO matrix class using GSL. | |
file | GslOptimizer.h [code] |
Class for handling optimization of scalar functions. | |
file | GslVector.h [code] |
Vector class using GSL. | |
file | InfiniteDimensionalGaussian.h [code] |
Class defining infinite dimensional Gaussian measures. | |
file | InfiniteDimensionalLikelihoodBase.h [code] |
Abstract class representing the likelihood. | |
file | InfiniteDimensionalMCMCSampler.h [code] |
Class representing the infinite dimensional Markov chain Monte Carlo sampler. | |
file | InfiniteDimensionalMCMCSamplerOptions.h [code] |
This class defines the options that specify the behaviour of the MCMC sampler. | |
file | InfiniteDimensionalMeasureBase.h [code] |
Abstract base class for infinite dimensional measures. | |
file | LibMeshFunction.h [code] |
Function objects using libMesh for the backend. | |
file | LibMeshNegativeLaplacianOperator.h [code] |
Class describing negative Laplacian operator using libmesh backend. | |
file | LibMeshOperatorBase.h [code] |
Abstract base class for operator objects using libmesh in the backend. | |
file | Map.h [code] |
A class for partitioning vectors and matrices. | |
file | Matrix.h [code] |
Matrix class. | |
file | MpiComm.h [code] |
MPI Communicator Class. | |
file | OperatorBase.h [code] |
Abstract base class for operator objects. | |
file | Optimizer.h [code] |
Class for handling optimization of scalar functions. | |
file | OptimizerMonitor.h [code] |
file | OptimizerOptions.h [code] |
Classes to allow options to be passed to an instance of Optimizer. | |
file | queso.h [code] |
file | RngBase.h [code] |
Random Number Generation class. | |
file | RngBoost.h [code] |
Boost Random Number Generation class. | |
file | RngCXX11.h [code] |
C++11 Random Number Generation class. | |
file | RngGsl.h [code] |
GSL Random Number Generation class. | |
file | ScopedPtr.h [code] |
This file declares and defines a scoped pointer. | |
file | SharedPtr.h [code] |
This file declares and defines a shared pointer. | |
file | TeuchosMatrix.h [code] |
Matrix class using Trilinos Teuchos. | |
file | TeuchosVector.h [code] |
Vector class using Trilinos Teuchos. | |
file | TKFactoryInitializer.h [code] |
file | TKFactoryLogitRandomWalk.h [code] |
file | TKFactoryMALA.h [code] |
file | TKFactoryRandomWalk.h [code] |
file | TKFactoryStochasticNewton.h [code] |
file | TransitionKernelFactory.h [code] |
file | Vector.h [code] |
Vector class. | |