  doxygen | |
 txt_common | |
  about_vpath.page | |
| acknowledgment.page | |
| lgpl.page | |
 noop.page | |
| queso.page | |
 src | |
 basic | |
  inc | |
| ArrayOfSequences.h | A templated class for handling samples of scalar sequences |
| BoxSubset.h | |
| ConcatenationSubset.h | |
| ConstantScalarFunction.h | |
| ConstantVectorFunction.h | |
| DiscreteSubset.h | |
| GenericScalarFunction.h | |
| GenericVectorFunction.h | |
| InstantiateIntersection.h | A templated method to calculate intersection of two domains (vector spaces) |
| IntersectionSubset.h | |
| ScalarFunction.h | Set of classes for handling vector functions |
| ScalarFunctionSynchronizer.h | Class for synchronizing the calls of scalar functions |
| ScalarSequence.h | A templated class for handling scalar samples |
| SequenceOfVectors.h | A templated class for handling vector samples |
| SequenceStatisticalOptions.h | A templated class that stores default statistical options |
| VectorFunction.h | Set of classes for handling vector functions |
| VectorFunctionSynchronizer.h | Class for synchronizing the calls of vector-valued functions |
| VectorSequence.h | A templated class for handling vector and arrays samples |
| VectorSet.h | A templated class for handling sets |
| VectorSpace.h | |
| VectorSubset.h | A templated class for handling subsets |
 src | |
| ArrayOfSequences.C | |
| BoxSubset.C | |
| ConcatenationSubset.C | |
| ConstantScalarFunction.C | |
| ConstantVectorFunction.C | |
| DiscreteSubset.C | |
| GenericScalarFunction.C | |
| GenericVectorFunction.C | |
| GslVectorSpace.C | |
| InstantiateIntersection.C | |
| IntersectionSubset.C | |
| ScalarFunction.C | |
| ScalarFunctionSynchronizer.C | |
| ScalarSequence.C | |
| SequenceOfVectors.C | |
| SequenceStatisticalOptions.C | |
| TeuchosVectorSpace.C | |
| VectorFunction.C | |
| VectorFunctionSynchronizer.C | |
| VectorSequence.C | |
| VectorSet.C | |
| VectorSpace.C | |
| VectorSubset.C | |
| contrib | |
| ANN | |
| include | |
| ANN | |
| ANN.h | |
| ANNperf.h | |
| ANNx.h | |
| src | |
| ANN.cpp | |
| bd_fix_rad_search.cpp | |
| bd_pr_search.cpp | |
| bd_search.cpp | |
| bd_tree.cpp | |
| brute.cpp | |
| kd_dump.cpp | |
| kd_fix_rad_search.cpp | |
| kd_pr_search.cpp | |
| kd_search.cpp | |
| kd_split.cpp | |
| kd_tree.cpp | |
| kd_util.cpp | |
| perf.cpp | |
| test | |
| ann_test.cpp | |
| rand.cpp | |
| getpot | |
| getpot.h | |
| inc | |
| all.h | |
| core | |
| inc | |
| AlgorithmFactory.h | |
| AlgorithmFactoryInitializer.h | |
| asserts.h | |
| BaseInputOptionsParser.h | |
| BasicPdfsBase.h | Class for Basic PDFs |
| BasicPdfsBoost.h | Class for Basic PDFs using Boost library |
| BasicPdfsCXX11.h | Class for Basic PDFs using C++11 math functions |
| BasicPdfsGsl.h | Class for Basic PDFs using Gsl library |
| BoostInputOptionsParser.h | |
| Defines.h | Definitions and a class to provide default options to pass to a QUESO environment |
| DistArray.h | A class to store row-oriented multi-vectors of type T |
| Environment.h | Class to set up a QUESO environment |
| EnvironmentOptions.h | Class to allow options to be passed to a QUESO environment |
| exceptions.h | |
| Factory.h | |
| FunctionBase.h | Abstract base class for function objects |
| FunctionOperatorBuilder.h | Helper class for function and operator objects. This class is meant to hold common FEM library backend options in a library-agnostic fashion |
| GslBlockMatrix.h | QUESO block matrix class using GSL |
| GslMatrix.h | QUESO matrix class using GSL |
| GslOptimizer.h | Class for handling optimization of scalar functions |
| GslVector.h | Vector class using GSL |
| InfiniteDimensionalGaussian.h | Class defining infinite dimensional Gaussian measures |
| InfiniteDimensionalLikelihoodBase.h | Abstract class representing the likelihood |
| InfiniteDimensionalMCMCSampler.h | Class representing the infinite dimensional Markov chain Monte Carlo sampler |
| InfiniteDimensionalMCMCSamplerOptions.h | This class defines the options that specify the behaviour of the MCMC sampler |
| InfiniteDimensionalMeasureBase.h | Abstract base class for infinite dimensional measures |
| LibMeshFunction.h | Function objects using libMesh for the backend |
| LibMeshNegativeLaplacianOperator.h | Class describing negative Laplacian operator using libmesh backend |
| LibMeshOperatorBase.h | Abstract base class for operator objects using libmesh in the backend |
| Map.h | A class for partitioning vectors and matrices |
| Matrix.h | Matrix class |
| MpiComm.h | MPI Communicator Class |
| OperatorBase.h | Abstract base class for operator objects |
| Optimizer.h | Class for handling optimization of scalar functions |
| OptimizerMonitor.h | |
| OptimizerOptions.h | Classes to allow options to be passed to an instance of Optimizer |
| queso.h | |
| RngBase.h | Random Number Generation class |
| RngBoost.h | Boost Random Number Generation class |
| RngCXX11.h | C++11 Random Number Generation class |
| RngGsl.h | GSL Random Number Generation class |
| ScopedPtr.h | This file declares and defines a scoped pointer |
| SharedPtr.h | This file declares and defines a shared pointer |
| TeuchosMatrix.h | Matrix class using Trilinos Teuchos |
| TeuchosVector.h | Vector class using Trilinos Teuchos |
| TKFactoryInitializer.h | |
| TKFactoryLogitRandomWalk.h | |
| TKFactoryMALA.h | |
| TKFactoryRandomWalk.h | |
| TKFactoryStochasticNewton.h | |
| TransitionKernelFactory.h | |
| Vector.h | Vector class |
| src | |
| AlgorithmFactory.C | |
| AlgorithmFactoryInitializer.C | |
| BaseInputOptionsParser.C | |
| BasicPdfsBase.C | |
| BasicPdfsBoost.C | |
| BasicPdfsCXX11.C | |
| BasicPdfsGsl.C | |
| BoostInputOptionsParser.C | |
| Defines.C | |
| DistArray.C | |
| Environment.C | |
| EnvironmentOptions.C | |
| FunctionBase.C | |
| FunctionOperatorBuilder.C | |
| GslBlockMatrix.C | |
| GslMatrix.C | |
| GslOptimizer.C | |
| GslVector.C | |
| InfiniteDimensionalGaussian.C | |
| InfiniteDimensionalLikelihoodBase.C | |
| InfiniteDimensionalMCMCSampler.C | |
| InfiniteDimensionalMCMCSamplerOptions.C | |
| InfiniteDimensionalMeasureBase.C | |
| LibMeshFunction.C | |
| LibMeshNegativeLaplacianOperator.C | |
| LibMeshOperatorBase.C | |
| Map.C | |
| Matrix.C | |
| MpiComm.C | |
| OperatorBase.C | |
| Optimizer.C | |
| OptimizerMonitor.C | |
| OptimizerOptions.C | |
| RngBase.C | |
| RngBoost.C | |
| RngCXX11.C | |
| RngGsl.C | |
| TeuchosMatrix.C | |
| TeuchosVector.C | |
| TKFactoryInitializer.C | |
| TransitionKernelFactory.C | |
| Vector.C | |
| version.C | |
| gp | |
| inc | |
| GPMSA.h | |
| GPMSAOptions.h | This class defines the options that specify the behaviour of the Gaussian process emulator |
| src | |
| GPMSA.C | |
| GPMSAOptions.C | |
| misc | |
| inc | |
| 1D1DFunction.h | One-dimension function class |
| 1DQuadrature.h | One-dimensional quadrature rules (numerical integration) class |
| 2dArrayOfStuff.h | A templated class for handling arrays of data |
| ArrayOfOneDGrids.h | Class to accommodate arrays of one-dimensional grid |
| ArrayOfOneDTables.h | Class to accommodate arrays of one-dimensional tables |
| AsciiTable.h | Class to read ASCII values from a table |
| BaseQuadrature.h | |
| CovCond.h | |
| Fft.h | Matrix class |
| math_macros.h | |
| Miscellaneous.h | |
| MonteCarloQuadrature.h | |
| MultiDimensionalIndexing.h | |
| MultiDQuadratureBase.h | |
| OneDGrid.h | Classes to accommodate a one dimensional grid |
| StdOneDGrid.h | |
| StreamUtilities.h | |
| TensorProductQuadrature.h | |
| UniformOneDGrid.h | |
| src | |
| 1D1DFunction.C | |
| 1DQuadrature.C | |
| 2dArrayOfStuff.C | |
| ArrayOfOneDGrids.C | |
| ArrayOfOneDTables.C | |
| AsciiTable.C | |
| ComplexFft.C | |
| CovCond.C | |
| Fft.C | |
| GslAsciiTable.C | |
| Miscellaneous.C | |
| MonteCarloQuadrature.C | |
| MultiDimensionalIndexing.C | |
| OneDGrid.C | |
| RealFft.C | |
| StdOneDGrid.C | |
| StreamUtilities.C | |
| TensorProductQuadrature.C | |
| UniformOneDGrid.C | |
| stats | |
| inc | |
| Algorithm.h | |
| BayesianJointPdf.h | |
| BetaJointPdf.h | |
| BetaVectorRealizer.h | |
| BetaVectorRV.h | |
| ConcatenatedJointPdf.h | |
| ConcatenatedVectorRealizer.h | |
| ConcatenatedVectorRV.h | |
| ExponentialMatrixCovarianceFunction.h | |
| ExponentialScalarCovarianceFunction.h | |
| FiniteDistribution.h | A templated class for a finite distribution |
| GammaJointPdf.h | |
| GammaVectorRealizer.h | |
| GammaVectorRV.h | |
| GaussianJointPdf.h | |
| GaussianLikelihoodBlockDiagonalCovariance.h | |
| GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients.h | |
| GaussianLikelihoodDiagonalCovariance.h | |
| GaussianLikelihoodFullCovariance.h | |
| GaussianLikelihoodFullCovarianceRandomCoefficient.h | |
| GaussianLikelihoodScalarCovariance.h | |
| GaussianVectorCdf.h | |
| GaussianVectorMdf.h | |
| GaussianVectorRealizer.h | |
| GaussianVectorRV.h | |
| GenericJointPdf.h | |
| GenericMatrixCovarianceFunction.h | |
| GenericScalarCovarianceFunction.h | |
| GenericVectorCdf.h | |
| GenericVectorMdf.h | |
| GenericVectorRealizer.h | |
| GenericVectorRV.h | |
| HessianCovMatricesTKGroup.h | |
| InfoTheory.h | |
| InfoTheory_impl.h | |
| InverseGammaJointPdf.h | |
| InverseGammaVectorRealizer.h | |
| InverseGammaVectorRV.h | |
| InvLogitGaussianJointPdf.h | |
| InvLogitGaussianVectorRealizer.h | |
| InvLogitGaussianVectorRV.h | |
| JeffreysJointPdf.h | |
| JeffreysVectorRealizer.h | |
| JeffreysVectorRV.h | |
| JointPdf.h | Classes to accommodate a probability density |
| LikelihoodBase.h | |
| LogNormalJointPdf.h | |
| LogNormalVectorRealizer.h | |
| LogNormalVectorRV.h | |
| MarkovChainPositionData.h | A templated class that represents a Markov Chain |
| MatrixCovarianceFunction.h | Classes to accommodate covariance matrix of random vector functions |
| MetropolisAdjustedLangevinTK.h | |
| MetropolisHastingsSG.h | A templated class that represents a Metropolis-Hastings generator of samples and a struct which stores its info |
| MetropolisHastingsSGOptions.h | Classes to allow options to be passed to a Metropolis-Hastings algorithm |
| MLSampling.h | |
| MLSamplingLevelOptions.h | Classes to allow options to be passed to the Multilevel algorithm, per level |
| MLSamplingOptions.h | Classes to allow options to be passed to the Multilevel algorithm |
| ModelValidation.h | A templated class for model validation of the example validationPyramid |
| MonteCarloSG.h | A templated class that implements a Monte Carlo generator of samples |
| MonteCarloSGOptions.h | Classes to allow options to be passed to a Monte Carlo sequence generator |
| PoweredJointPdf.h | |
| SampledScalarCdf.h | |
| SampledVectorCdf.h | |
| SampledVectorMdf.h | |
| ScalarCdf.h | Classes to accommodate a cumulative distribution function |
| ScalarCovarianceFunction.h | Classes to accommodate covariance of scalar functions (random variables) |
| ScalarGaussianRandomField.h | A class for handling Gaussian random fields (GRF) |
| ScaledCovMatrixTKGroup.h | |
| SequentialVectorRealizer.h | |
| StatisticalForwardProblem.h | Class to solve a Statistical Forward Problem |
| StatisticalForwardProblemOptions.h | Classes to allow options to be passed to a Statistical Forward Problem |
| StatisticalInverseProblem.h | Class to solve a Statistical Inverse Problem |
| StatisticalInverseProblemOptions.h | Classes to allow options to be passed to a Statistical Inverse Problem |
| StdScalarCdf.h | |
| TKGroup.h | Class to set up a Transition Kernel |
| TransformedScaledCovMatrixTKGroup.h | |
| UniformJointPdf.h | |
| UniformVectorRealizer.h | |
| UniformVectorRV.h | |
| ValidationCycle.h | A templated class for validation cycle of the examples validationCycle and validationCycle2 |
| VectorCdf.h | Classes to accommodate a cumulative distribution function of a vector RV |
| VectorGaussianRandomField.h | A class for handling Gaussian random fields (GRF) |
| VectorMdf.h | Classes to accommodate a marginal density function of a vector RV |
| VectorRealizer.h | A templated class for sampling from vector RVs (holding probability density distributions) |
| VectorRV.h | A templated class for handling vector random variables (RV) |
| WignerJointPdf.h | |
| WignerVectorRealizer.h | |
| WignerVectorRV.h | |
| src | |
| Algorithm.C | |
| BayesianJointPdf.C | |
| BetaJointPdf.C | |
| BetaVectorRealizer.C | |
| BetaVectorRV.C | |
| ConcatenatedJointPdf.C | |
| ConcatenatedVectorRealizer.C | |
| ConcatenatedVectorRV.C | |
| ExponentialMatrixCovarianceFunction.C | |
| ExponentialScalarCovarianceFunction.C | |
| FiniteDistribution.C | |
| GammaJointPdf.C | |
| GammaVectorRealizer.C | |
| GammaVectorRV.C | |
| GaussianJointPdf.C | |
| GaussianLikelihoodBlockDiagonalCovariance.C | |
| GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients.C | |
| GaussianLikelihoodDiagonalCovariance.C | |
| GaussianLikelihoodFullCovariance.C | |
| GaussianLikelihoodFullCovarianceRandomCoefficient.C | |
| GaussianLikelihoodScalarCovariance.C | |
| GaussianVectorCdf.C | |
| GaussianVectorMdf.C | |
| GaussianVectorRealizer.C | |
| GaussianVectorRV.C | |
| GenericJointPdf.C | |
| GenericMatrixCovarianceFunction.C | |
| GenericScalarCovarianceFunction.C | |
| GenericVectorCdf.C | |
| GenericVectorMdf.C | |
| GenericVectorRealizer.C | |
| GenericVectorRV.C | |
| HessianCovMatricesTKGroup.C | |
| InverseGammaJointPdf.C | |
| InverseGammaVectorRealizer.C | |
| InverseGammaVectorRV.C | |
| InvLogitGaussianJointPdf.C | |
| InvLogitGaussianVectorRealizer.C | |
| InvLogitGaussianVectorRV.C | |
| JeffreysJointPdf.C | |
| JeffreysVectorRealizer.C | |
| JeffreysVectorRV.C | |
| JointPdf.C | |
| LikelihoodBase.C | |
| LogNormalJointPdf.C | |
| LogNormalVectorRealizer.C | |
| LogNormalVectorRV.C | |
| MarkovChainPositionData.C | |
| MatrixCovarianceFunction.C | |
| MetropolisAdjustedLangevinTK.C | |
| MetropolisHastingsSG.C | |
| MetropolisHastingsSGOptions.C | |
| MLSampling.C | |
| MLSamplingLevelOptions.C | |
| MLSamplingOptions.C | |
| ModelValidation.C | |
| MonteCarloSG.C | |
| MonteCarloSGOptions.C | |
| PoweredJointPdf.C | |
| SampledScalarCdf.C | |
| SampledVectorCdf.C | |
| SampledVectorMdf.C | |
| ScalarCdf.C | |
| ScalarCovarianceFunction.C | |
| ScalarGaussianRandomField.C | |
| ScaledCovMatrixTKGroup.C | |
| SequentialVectorRealizer.C | |
| StatisticalForwardProblem.C | |
| StatisticalForwardProblemOptions.C | |
| StatisticalInverseProblem.C | |
| StatisticalInverseProblemOptions.C | |
| StdScalarCdf.C | |
| TKGroup.C | |
| TransformedScaledCovMatrixTKGroup.C | |
| UniformJointPdf.C | |
| UniformVectorRealizer.C | |
| UniformVectorRV.C | |
| ValidationCycle.C | |
| VectorCdf.C | |
| VectorGaussianRandomField.C | |
| VectorMdf.C | |
| VectorRealizer.C | |
| VectorRV.C | |
| WignerJointPdf.C | |
| WignerVectorRealizer.C | |
| WignerVectorRV.C | |
| surrogates | |
| inc | |
| InterpolationSurrogateBase.h | |
| InterpolationSurrogateBuilder.h | |
| InterpolationSurrogateData.h | |
| InterpolationSurrogateDataSet.h | |
| InterpolationSurrogateIOASCII.h | |
| InterpolationSurrogateIOBase.h | |
| LinearLagrangeInterpolationSurrogate.h | |
| SurrogateBase.h | |
| SurrogateBuilderBase.h | |
| src | |
| InterpolationSurrogateBase.C | |
| InterpolationSurrogateBuilder.C | |
| InterpolationSurrogateData.C | |
| InterpolationSurrogateDataSet.C | |
| InterpolationSurrogateIOASCII.C | |
| InterpolationSurrogateIOBase.C | |
| LinearLagrangeInterpolationSurrogate.C | |
