File List

Here is a list of all files with brief descriptions:

[detail level 123456]

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