SG++-Doxygen-Documentation
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 12345]
 ►Csgpp::base::AbstractRefinementAbstract refinement class for sparse grids
 ►Csgpp::base::AbstractRefinement_refinement_key
 Csgpp::combigrid::AdaptiveCombinationGridGeneratorThe AdaptiveCombinationGridGenerator is a (potentially changing) representation of a combination grid that also tracks the Quantities of Interest; in contrast to a CombinationGrid, it stores the full downward closed set of levels
 Csgpp::base::AdaptivityConfigurationStructure that can be used by application to define adaptivity strategies
 Csgpp::base::AdaptivityThresholdTypeParser
 ►Csgpp::datadriven::AlgorithmAdaBoostBase
 Csgpp::base::AlgorithmDGEMV< BASIS >Basic multiplaction with B and B^T on grids with no boundaries
 Csgpp::base::AlgorithmEvaluation< BASIS >Basic algorithm for getting all affected basis functions
 Csgpp::base::AlgorithmEvaluationTransposed< BASIS >Basic algorithm for getting all affected basis functions
 Csgpp::base::AlgorithmMultipleEvaluation< BASIS >Abstract implementation for multiple function evaluations
 Csgpp::datadriven::AlgorithmMultipleEvaluationDistributed< BASIS >Abstract implementation for distributed multiple function evaluations
 Csgpp::datadriven::ARFFToolsClass that provides functionality to read ARFF files
 Csgpp::datadriven::AssignBatchNetworkMessageMessage wrapped in MPI_Packet specifying an order to a worker to train from a batch
 Csgpp::datadriven::AssignSystemMatrixUpdateNetworkMessageMessage wrapped in MPI_Packet specifying an order to a worker to update a class' system matrix decomposition
 Csgpp::datadriven::AssignTaskResultUsed by the MPI Task Scheduler to deliver the result of assigning the requested task
 ►Csgpp::base::Basis< LT, IT >Basis class for basis functions
 Csgpp::base::Basis< level_t, index_t >
 Csgpp::base::Basis< unsigned int, unsigned int >
 Csgpp::datadriven::BayesianOptimizationClass to host all methods to perform Bayesian Optimization
 Csgpp::datadriven::BlacsProcessGridThis class represents a BLACS process grid for use with ScaLAPACK
 Csgpp::datadriven::BOConfigContainer class to store a conrete hyperparameter configuration for interaction with Bayesian Optimization
 ►Csgpp::base::BoundingBoxThis class implements the boundaries of the sparse grid
 Csgpp::base::BoundingBox1DStruct that defines the boundaries for one specific dimension
 Csgpp::base::BreadthFirstSearch< FUNC >Class for applying a functor of type FUNC on all grid points of a sparse grid in a breadth-first search (BFS) manner
 Csgpp::datadriven::ClassificationLearnerThe ClassificationLearner class Solves a classification problem
 Csgpp::datadriven::ClassificatorQualityStruct to encapsulate the classsifiers quality by its characteristic numbers
 Csgpp::base::ClenshawCurtisTableLookup table for 1D Clenshaw-Curtis points
 ►Csgpp::base::CoarseningFunctorAbstract class that defines the interfaces that coarsening functors have to provide
 Csgpp::base::CoarseningFunctorTypeParser
 Csgpp::combigrid::CombinationGridClass for representing a collection of full grids together with one scalar coefficient per full grid
 Csgpp::datadriven::CombiScheme
 ►Chpx::components::component_base
 Csgpp::datadriven::StreamingModOCLFastMultiPlatform::Configuration
 Csgpp::datadriven::StreamingModOCLMaskMultiPlatform::Configuration
 Csgpp::datadriven::StreamingModOCLOpt::Configuration
 Csgpp::datadriven::StreamingModOCLUnified::Configuration
 Csgpp::datadriven::StreamingOCLMultiPlatform::ConfigurationConfiguration class for the operation OperationMultiEvalStreamingOCLMultiPlatform
 Csgpp::datadriven::ConfigurationBitThis class implements a boolean representation of hyperparameters for harmonica
 ►Csgpp::base::ConfigurationParameters
 Csgpp::datadriven::ConfigurationRestrictionThis class represents a constraint on the ConfigurationBits used by harmonica
 ►CConjugateGradients
 ►Csgpp::optimization::test_problems::ConstrainedTestProblemBase class for analytical, constrained test problems
 Csgpp::base::ConvertLinearToPrewaveletClass that implements the transformation of a hierarchical linear sparse grid to a hierarchical prewavelet sparse grid
 Csgpp::base::ConvertPrewaveletToLinearClass that implements the transformation of a hierarchical prewavelet sparse grid to a hierarchical linear sparse grid
 Csgpp::datadriven::CrossvalidationConfiguration
 Csgpp::datadriven::CrossvalidationForRegularizationConfiguration
 Csgpp::datadriven::CSVToolsClass that provides functionality to read CSV files
 Csgpp::datadriven::CSVWriterClass that provides functionality to write a Dataset to a CSV file
 Csgpp::datadriven::DatabaseConfigurationConfiguration structure for the offline datamatrix decomposition database
 Csgpp::datadriven::DataMatrixDistributedClass to represent a DataMatrix which is distributed on a process grid
 Csgpp::datadriven::DataMiningConfigParser
 ►Csgpp::datadriven::Dataset
 ►Csgpp::datadriven::DatasetGenerator
 Csgpp::datadriven::DatasetTools
 ►Csgpp::datadriven::DataShufflingFunctorA class to provide functionality to shuffle (reorder) the data samples before the sample provider accesses it
 Csgpp::datadriven::DataShufflingFunctorFactoryConcrete factory to build an instance of sgpp::datadriven::DataShufflingFunctor
 ►Csgpp::datadriven::DataSourceDataSource is a high level, easy to use interface for accessing data provided by a all kinds of sgpp::datadriven::SampleProvider
 Csgpp::datadriven::DataSourceBuilderGenerate an instance of sgpp::datadriven::DataSource using the Builder Pattern
 Csgpp::datadriven::DataSourceConfigConfiguration structure used for all kinds of SampleProviders including default values
 Csgpp::datadriven::DataSourceFileTypeParserConvenience class to convert strings to sgpp::datadriven::DataSourceFileType and generate string representations for values of sgpp::datadriven::DataSourceFileType
 Csgpp::datadriven::DataSourceIteratorIterator object for walking convenient walking over the batches of a sgpp::datadriven::DataSource
 Csgpp::datadriven::DataSourceShufflingTypeParserConvenience class to convert strings to sgpp::datadriven::DataSourceShufflingType and generate string representations for values of sgpp::datadriven::DataSourceShufflingType
 ►Csgpp::datadriven::DataTransformationDataTransformation is an abstraction for an object that provides different transformations on datasets, for example Rosenblatt-transformation to get a uniform distribution over the unit cube
 Csgpp::datadriven::DataTransformationBuilderHelper class to build all kinds of transformation based on given configuration
 Csgpp::datadriven::DataTransformationConfig
 Csgpp::datadriven::DataTransformationTypeParserConvenience class to convert strings to sgpp::datadriven::DataTransformationType and generate string representations for values of sgpp::datadriven::DataTransformationType
 Csgpp::datadriven::DataVectorDistributed
 Csgpp::datadriven::DBMatDatabaseA database class to store and retrieve online matrix decompositions for the sparse grid density estimation
 Csgpp::datadriven::DBMatObjectStore
 ►Csgpp::datadriven::DBMatOfflineClass that is used to decompose and store the left-hand-side matrix for the density based classification approach (The classification is divided into two parts: the offline step that does not depend on the actual data and the online step that depends on the data)
 ►Csgpp::datadriven::DBMatOnlineClass for objects that can be used in the online step of the classification (The classification is divided into two parts: the offline step that does not depend on the actual data and the online step that depends on the data)
 Csgpp::datadriven::DBMatPermutationFactory
 Csgpp::base::DehierarchisationFundamentalNakSplineBoundaryFunctor for dehierarchization with fundamental splines via BreadthFirstSearch
 Csgpp::base::DehierarchisationFundamentalSplineFunctor for dehierarchization with fundamental splines via BreadthFirstSearch
 Csgpp::base::DehierarchisationFundamentalSplineBoundaryFunctor for dehierarchization with fundamental splines via BreadthFirstSearch
 ►Csgpp::base::DehierarchisationLinearClass that implements the dehierarchisation on a linear sparse grid
 Csgpp::base::DehierarchisationLinearClenshawCurtisClass that implements the dehierarchisation on a polynomial sparse grid
 Csgpp::base::DehierarchisationLinearClenshawCurtisBoundaryClass that implements the dehierarchisation on a polynomial sparse grid
 ►Csgpp::base::DehierarchisationLinearStretchedClass that implements the dehierarchisation on a linear sparse grid
 Csgpp::base::DehierarchisationModFundamentalSplineFunctor for dehierarchization with modified fundamental splines via BreadthFirstSearch
 Csgpp::base::DehierarchisationModLinearClass that implements the dehierarchisation on a mod linear sparse grid
 Csgpp::base::DehierarchisationModLinearClenshawCurtisClass that implements the dehierarchisation on a polynomial sparse grid
 Csgpp::base::DehierarchisationModPolyClass that implements the dehierarchisation on a modified polynomial sparse grid
 Csgpp::base::DehierarchisationModPolyClenshawCurtisClass that implements the dehierarchisation on a polynomial sparse grid
 Csgpp::base::DehierarchisationPolyClass that implements the dehierarchisation on a polynomial sparse grid
 Csgpp::base::DehierarchisationPolyBoundaryClass that implements the dehierarchisation on a polynomial sparse grid
 Csgpp::base::DehierarchisationPolyClenshawCurtisClass that implements the dehierarchisation on a polynomial sparse grid
 Csgpp::base::DehierarchisationPolyClenshawCurtisBoundaryClass that implements the dehierarchisation on a polynomial sparse grid
 Csgpp::datadriven::DensityEstimationConfiguration
 Csgpp::datadriven::DensityEstimationTypeParser
 ►Csgpp::datadriven::DensityEstimator
 Csgpp::base::DirichletGridConverterThis class handles the conversion of a boundary grid with dirichlet boundary conditions into an inner
 Csgpp::base::DirichletUpdateVectorThis class is useful if you do some PDE calculations with Dirichlet Boundary Conditions
 ►Csgpp::base::DistributionStores a sparse grid not a knot B-spline interpolant in the framework of a respsonse surface
 Csgpp::base::DistributionsVector
 Csgpp::datadriven::DMConfigTools
 Csgpp::pde::DowndPhidPhiBBIterativeLinearThis class is helper class to implement the complete Down of following bilinearform \(\int_{x} \frac{\partial \phi(x)}{x} \frac{\partial \phi(x)}{x} dx\) for a given dimension by an iterative algorithms on adaptive Sparse Grids with linear ansatzfunctions without boundaries
 Csgpp::pde::DowndPhidPhiBBIterativeLinearBoundaryThis class is helper class to implement the complete Down of following bilinearform \(\int_{x} \frac{\partial \phi(x)}{x} \frac{\partial \phi(x)}{x} dx\) for a given dimension by an iterative algorithms on adaptive Sparse Grids with linear ansatzfunctions with boundaries
 Csgpp::pde::DowndPhidPhiBBIterativeLinearStretchedThis class is helper class to implement the complete Down of following bilinearform \(\int_{x} \frac{\partial \phi(x)}{x} \frac{\partial \phi(x)}{x} dx\) for a given dimension by an iterative algorithms on adaptive Sparse Grids with linear ansatzfunctions without boundaries
 Csgpp::pde::DowndPhidPhiBBIterativeLinearStretchedBoundaryThis class is helper class to implement the complete Down of following bilinearform \(\int_{x} \frac{\partial \phi(x)}{x} \frac{\partial \phi(x)}{x} dx\) for a given dimension by an iterative algorithms on adaptive Sparse Grids with linear ansatzfunctions with boundaries
 Csgpp::pde::dPhidPhiDownModLinearImplementation of sweep operator (): 1D Down for Bilinearform \(\int_{x} \frac{\partial \phi(x)}{\partial x} \frac{\partial \phi(x)}{\partial x} dx\) on mod-linear grids
 Csgpp::pde::dPhidPhiUpModLinearImplementation of sweep operator (): 1D Up for Bilinearform \(\int_{x} \frac{\partial \phi(x)}{\partial x} \frac{\partial \phi(x)}{\partial x} dx\) on mod-linear grids
 Csgpp::base::EmptyVectorFunctionSingleton containing an empty implementation of VectorFunction
 Csgpp::base::EmptyVectorFunctionGradientSingleton containing an empty implementation of VectorFunctionGradient
 Csgpp::base::EvalCuboidGeneratorThis class builds a cuboid in the d-dimension space
 Csgpp::base::EvalCuboidGeneratorForStretchingThis class builds a cuboid in the d-dimension space
 ►CException
 ►Cstd::exceptionSTL class
 ►Csgpp::solver::FistaBase
 ►Csgpp::datadriven::FitterConfigurationGeneral configuration object for fitters
 ►Csgpp::datadriven::FitterFactoryAbstract factory to build all kinds of fitters/models based on a given configuration
 Csgpp::datadriven::FitterTypeParserConvenience class to convert strings to sgpp::datadriven::FitterType and generate string representations for values of sgpp::datadriven::FitterType
 Csgpp::combigrid::FullGridFull grid essentially represented by its level and a HeterogeneousBasis
 ►Csgpp::optimization::FuzzyExtensionPrincipleAbstract class for Zadeh's fuzzy extension principle to propagate fuzzy input uncertainties through a function to obtain a fuzzy output uncertainty
 ►Csgpp::optimization::FuzzyIntervalAbstract class for a fuzzy interval
 ►Csgpp::base::GeneralGridConfigurationStruct to cluster general grid information for different grid "super" types
 Csgpp::base::GeneralGridTypeParserParser class to parse a general grid type into a GeneralGridType enum type and vice versa
 Csgpp::datadriven::GeometryConfiguration
 Csgpp::datadriven::GeometryConfigurationParser
 Csgpp::base::GetAffectedBasisFunctions< BASIS >Basic algorithm for getting all affected basis functions
 Csgpp::base::GetAffectedBasisFunctions< LinearBoundaryBasis< unsigned int, unsigned int > >Template Specialization for LinearBoundaryBasis basis
 Csgpp::base::GetAffectedBasisFunctions< LinearClenshawCurtisBoundaryBasis< unsigned int, unsigned int > >Template Specialization for LinearClenshawCurtisBoundaryBasis basis
 Csgpp::base::GetAffectedBasisFunctions< LinearPeriodicBasis< unsigned int, unsigned int > >Template Specialization for PeriodicBasis basis
 Csgpp::base::GetAffectedBasisFunctions< LinearStretchedBoundaryBasis< unsigned int, unsigned int > >Template Specialization for LinearStretchedBoundaryBasis basis
 Csgpp::base::GetAffectedBasisFunctions< PolyBoundaryBasis< unsigned int, unsigned int > >Template Specialization for PolyBoundaryBasis basis
 Csgpp::base::GetAffectedBasisFunctions< PolyClenshawCurtisBoundaryBasis< unsigned int, unsigned int > >Template Specialization for PolyClenshawCurtisBoundaryBasis basis
 Csgpp::base::GetAffectedBasisFunctions< PrewaveletBasis< unsigned int, unsigned int > >Template Specialization for prewavelet basis
 Csgpp::datadriven::streamingBSplineOCL::getType< T >
 Csgpp::datadriven::streamingBSplineOCL::getType< double >
 Csgpp::datadriven::streamingBSplineOCL::getType< float >
 ►Csgpp::base::GridAbstract base class for all types grids used in sgpp the class gives pure virtual function definitions that have to be implemented by all types of grids
 Csgpp::base::GridDataBaseClass that allows to keep a storage of arbitrary grid points
 Csgpp::datadriven::GridFactoryFactory class to create grids based on a configuration file
 ►Csgpp::base::GridGeneratorAbstract class that defines the interfaces for the different grid's GridGenerators
 ►Csgpp::base::GridPrinterThis class implements a utility that allows you to print a grid to file
 Csgpp::base::GridTypeParser
 Csgpp::datadriven::HarmonicaClass to host all methods required to perform the harmonica algorithm
 Csgpp::combigrid::LevelVectorTools::Hash
 Csgpp::base::HashCoarseningStandard free coarsening class for sparse grids, only inner grid points can be removed
 Csgpp::base::HashGeneratorThis class provides the generation functionality of sparse grids based on hashmaps
 Csgpp::base::HashGridIteratorThis class can be used for storage agnostic algorithms
 Csgpp::base::HashGridPointThis Class represents one Gridpoint
 Csgpp::datadriven::HashGridPointCompare
 Csgpp::base::HashGridPointEqualityFunctor
 Csgpp::base::HashGridPointHashFunctor
 Csgpp::base::HashGridPointPointerEqualityFunctor
 Csgpp::base::HashGridPointPointerHashFunctor
 Csgpp::base::HashGridStorageGeneric hash table based storage of grid points
 Csgpp::base::HermiteBasis
 Csgpp::combigrid::HeterogeneousBasisPotentially hetereogeneous basis on full grids, i.e., a dim-dimensional vector of 1D bases of type sgpp::base::Basis
 Csgpp::base::HierarchisationFundamentalNakSplineBoundaryFunctor for hierarchization with fundamental splines via BreadthFirstSearch
 Csgpp::base::HierarchisationFundamentalSplineFunctor for hierarchization with fundamental splines via BreadthFirstSearch
 Csgpp::base::HierarchisationFundamentalSplineBoundaryFunctor for hierarchization with fundamental splines via BreadthFirstSearch
 ►Csgpp::base::HierarchisationLinearClass that implements the hierarchisation on a linear sparse grid
 Csgpp::base::HierarchisationLinearClenshawCurtisClass that implements the hierarchisation on a polynomial sparse grid
 Csgpp::base::HierarchisationLinearClenshawCurtisBoundaryClass that implements the hierarchisation on a polynomial sparse grid
 ►Csgpp::base::HierarchisationLinearStretchedClass that implements the hierarchisation on a linear sparse grid
 Csgpp::base::HierarchisationModFundamentalSplineFunctor for hierarchization with modified fundamental splines via BreadthFirstSearch
 Csgpp::base::HierarchisationModLinearClass that implements the hierarchisation on a mod linear sparse grid
 Csgpp::base::HierarchisationModLinearClenshawCurtisClass that implements the hierarchisation on a polynomial sparse grid
 Csgpp::base::HierarchisationModPolyClass that implements the hierarchisation on a modified polynomial sparse grid
 Csgpp::base::HierarchisationModPolyClenshawCurtisClass that implements the hierarchisation on a polynomial sparse grid
 Csgpp::base::HierarchisationPolyClass that implements the hierarchisation on a polynomial sparse grid
 Csgpp::base::HierarchisationPolyBoundaryClass that implements the hierarchisation on a polynomial sparse grid
 Csgpp::base::HierarchisationPolyClenshawCurtisClass that implements the hierarchisation on a polynomial sparse grid
 Csgpp::base::HierarchisationPolyClenshawCurtisBoundaryClass that implements the hierarchisation on a polynomial sparse grid
 Csgpp::datadriven::HPOConfigConfiguration for HyperparameterOptimizer
 ►Csgpp::datadriven::HyperParameterClass to represent a hyperparameter
 ►Csgpp::datadriven::HyperparameterOptimizerHyperparameterOptimizer uses fitters provided by a fitterFactory to test in a SparseGridMiner It offers access to different hyperparameter optimization procedures
 Csgpp::base::IndexInSubspaceGeneratorContainer for the index_vectors of a subspace
 Csgpp::combigrid::IndexVectorRangeClass for iterating over the indices contained in a FullGrid via ranged-based for loops
 ►Csgpp::optimization::IterativeGridGeneratorAbstract base class for iterative grid generation methods
 ►Cstd::iterator
 ►Csgpp::datadriven::Kernel
 Csgpp::datadriven::DensityOCLMultiPlatform::KernelCreateGraph< T >OpenCL kernel class for operation to create a k nearest neighbor graph
 Csgpp::datadriven::DensityOCLMultiPlatform::KernelDensityB< T >Class for the OpenCL density matrix vector multiplication
 Csgpp::datadriven::DensityOCLMultiPlatform::KernelDensityMult< T >Class for the OpenCL density matrix vector multiplication
 Csgpp::datadriven::StreamingModOCLFastMultiPlatform::KernelMult< T >
 Csgpp::datadriven::StreamingModOCLMaskMultiPlatform::KernelMult< real_type >
 Csgpp::datadriven::StreamingModOCLOpt::KernelMult< T >
 Csgpp::datadriven::StreamingModOCLUnified::KernelMult< real_type >
 Csgpp::datadriven::StreamingOCLMultiPlatform::KernelMult< T >Kernel that provide the MultiEval \(v:= B^T \alpha\) operation for a single OpenCL device
 Csgpp::datadriven::StreamingModOCLMaskMultiPlatform::KernelMult< T >
 Csgpp::datadriven::StreamingModOCLFastMultiPlatform::KernelMultTranspose< T >
 Csgpp::datadriven::StreamingModOCLMaskMultiPlatform::KernelMultTranspose< real_type >
 Csgpp::datadriven::StreamingModOCLOpt::KernelMultTranspose< real_type >
 Csgpp::datadriven::StreamingModOCLUnified::KernelMultTranspose< real_type >
 Csgpp::datadriven::StreamingOCLMultiPlatform::KernelMultTranspose< T >Kernel that provide the transposed MultiEval operation \(v':= B v\) for a single OpenCL device
 Csgpp::datadriven::StreamingModOCLMaskMultiPlatform::KernelMultTranspose< T >
 Csgpp::datadriven::DensityOCLMultiPlatform::KernelPruneGraph< T >OpenCL kernel for density based pruning of a graph
 ►Csgpp::base::KernelSourceBuilderBase< T >
 ►Csgpp::base::KernelSourceBuilderBase< real_type >
 Csgpp::pde::LaplaceDownGradientPrewaveletImplements the downGradient Method needed for the Laplace operator on prewavelet grids
 ►Csgpp::pde::LaplaceEnhancedDownBBLinearImplementation of sweep operator () for enhanced Laplace operator, down operation
 ►Csgpp::pde::LaplaceEnhancedUpBBLinearImplementation of sweep operator () for enhanced Laplace operator, up operation
 Csgpp::pde::LaplaceUpGradientPrewaveletImplements the upGradient Method needed for the Laplace operator on prewavelet grids
 Csgpp::pde::LaplaceUpPrewaveletImplements the down Method needed for the Laplace operator on prewavelet grids
 ►Csgpp::datadriven::LearnerBaseAbstract class that implements a regression/classification learner based on spatial adaptive Sparse Grids
 Csgpp::datadriven::LearnerBaseSPAbstract class that implements a regression/classification learner based on spatial adaptive Sparse Grids
 Csgpp::datadriven::LearnerConfigurationStructure that contains information about the learners behaviour
 Csgpp::datadriven::LearnerSGDLearnerSGD learns the data using stochastic gradient descent
 Csgpp::datadriven::LearnerSGDEOnOffParallelLearnerSGDEOnOffParallel learns the data using sparse grid density estimation
 Csgpp::datadriven::LearnerSVMLearnerSVM learns the data using support vector machines and sparse grid kernels
 Csgpp::datadriven::LearnerTimingStrcut to encapsulate the learner's timings during training
 Csgpp::datadriven::LearnerVectorizedPerformanceStruct that defines return for calculation the performance of a vectorized learner
 Csgpp::datadriven::LearnerVectorizedPerformanceCalculatorClass that provides functionality in order to determine a LearnerVectorized's performance
 ►Csgpp::optimization::optimizer::LeastSquaresOptimizerAbstract class for solving non-linear least squares problems
 Csgpp::datadriven::LevelIndexPairPair to hold the level and the index of a grid point in one dimension
 Csgpp::combigrid::LevelVectorToolsVarious tools for LevelVectors, mainly for generating specific vectors of LevelVectors
 Csgpp::base::LinearLoadBalancer
 Csgpp::base::LinearLoadBalancerMultiPlatform
 Csgpp::datadriven::MakePositiveConfiguration
 Csgpp::datadriven::MatrixDecompositionTypeParser
 Csgpp::datadriven::MaximumLikelihoodCrossValidation
 Csgpp::datadriven::MergeGridNetworkMessagePacket wrapper in MPI_Packet containing segmented data from the alpha vector of the trained system
 Csgpp::datadriven::MessageTrackRequestStructure that holds data for pending tracking requests that need to be checked against incoming messages
 Csgpp::datadriven::MetaLearner
 ►Csgpp::datadriven::MetricWe use metrics to quantify approximation quality of a trained model
 ►Csgpp::datadriven::MinerFactoryAbstract factory to build different kinds of Miners based on a configuration which is parsed from a file
 ►Csgpp::datadriven::ModelFittingBaseBase class for arbitrary machine learning models based on adaptive sparse grids
 Csgpp::datadriven::MortonOrder
 Csgpp::datadriven::MPI_PacketA packet sent over MPI, using a command as a descriptor, and a wrapped package in the payload for data
 Csgpp::datadriven::clusteringmpi::MPIEnviroment
 Csgpp::datadriven::MPIMethods
 Csgpp::datadriven::MPIRequestPool
 ►Csgpp::datadriven::MPITaskScheduler
 ►Csgpp::datadriven::clusteringmpi::MPIWorkerBaseBase class for MPI master node operations
 Csgpp::base::MultipleClassPointMultiple Class Point provides a structure to save additional data for each GridPoint in a Sparse Grid
 Csgpp::base::MutexTypeWrapper for OpenMP nested locks
 Csgpp::datadriven::NearestNeighborsThe NearestNeighbors class
 ►Cjson::Node
 Csgpp::datadriven::PiecewiseConstantRegression::Node
 ►Cobject
 Csgpp::datadriven::DBMatObjectStore::ObjectContainerDatastructure to store offline objects together with their configuration
 Csgpp::base::OCLBufferWrapperSD< T >
 Csgpp::base::OCLBufferWrapperSD< int >
 Csgpp::base::OCLBufferWrapperSD< real_type >
 Csgpp::base::OCLClonedBuffer
 Csgpp::base::OCLClonedBufferMultiPlatform
 Csgpp::base::OCLDevice
 Csgpp::base::OCLManager
 Csgpp::base::OCLManagerMultiPlatform
 Csgpp::base::OCLPlatformWrapper
 Csgpp::base::OCLStretchedBuffer
 Csgpp::base::OCLStretchedBufferMultiPlatform
 Csgpp::base::OCLZeroCopyBuffer
 Csgpp::datadriven::ClusteringOCL::OperationClusteringOCL< T >
 ►Csgpp::base::OperationConvertOperation that cpnverts a given basis into the normal, linear hat basis and vice versa
 Csgpp::datadriven::OperationCovarianceThis class provides the covariance matrix a sparse grid function
 ►Csgpp::datadriven::DensityOCLMultiPlatform::OperationCreateGraphOCLPure virtual base class for the k nearest neighbor opencl operation
 ►Csgpp::datadriven::OperationDensityConditionalConditionalize Probability Density Function
 Csgpp::datadriven::OperationDensityConditionalKDE
 ►Csgpp::datadriven::OperationDensityMarginalizeMarginalize Probability Density Function
 Csgpp::datadriven::OperationDensityMarginalizeKDEMarginalize Probability Density Function
 Csgpp::datadriven::OperationDensityMargTo1DMarginalize Probability Density Function
 ►Csgpp::datadriven::OperationDensityRejectionSamplingSampling on all dimensions
 ►Csgpp::datadriven::OperationDensitySamplingSampling on all dimensions
 ►Csgpp::datadriven::OperationDensitySampling1DSample 1D Probability Density Function
 Csgpp::datadriven::OperationDotProductLinear
 Csgpp::datadriven::OperationDotProductModLinear
 ►Csgpp::base::OperationEvalOperation that evaluates the current sparse grid function defined by the coefficient vector alpha at a given point
 Csgpp::combigrid::OperationEvalCombinationGridOperation for evaluating a combination grid function (linear combination of linear combinations of full grid basis functions, where the coefficients of the outer linear combination are given by the combination grid)
 ►Csgpp::base::OperationEvalGradientAbstract operation for evaluating a linear combination of basis functions and its gradient
 ►Csgpp::base::OperationEvalHessianAbstract operation for evaluating a linear combination of basis functions, its gradient and its Hessian
 ►Csgpp::base::OperationEvalPartialDerivativeAbstract operation for evaluating a partial derivative of a linear combination of basis functions
 ►Csgpp::base::OperationFirstMomentThis class provides the first moment of a sparse grid function
 ►Csgpp::base::OperationHierarchisationThis class implements the hierarchisation and dehierarchisation on the sparse grid
 ►Csgpp::datadriven::OperationInverseRosenblattTransformationSampling on all dimensions
 Csgpp::datadriven::OperationInverseRosenblattTransformationKDEDo inverse transformation in all dimensions
 Csgpp::datadriven::OperationLimitFunctionValueRange
 Csgpp::datadriven::OperationMakePositiveThis class enforces the function value range of a sparse grid function to be larger than 0
 ►Csgpp::datadriven::OperationMakePositiveCandidateSetAlgorithm
 ►Csgpp::datadriven::OperationMakePositiveInterpolationAlgorithm
 ►Csgpp::base::OperationMatrixAbstract definition of a matrix operator interface
 ►Csgpp::base::OperationMatrixSPAbstract definition of a matrix operator interface
 ►Csgpp::base::OperationMultipleEvalInterface for multiplication with Matrices \(B\) and \(B^T\)
 Csgpp::datadriven::OperationMultipleEvalConfiguration
 ►Csgpp::optimization::OperationMultipleHierarchisationAbstract operation for hierarchization and dehierarchization for multiple sets of function values at the grid nodes
 Csgpp::datadriven::OperationPiecewiseConstantRegression
 ►Csgpp::combigrid::OperationPoleOperation on a pole of a full grid
 ►Csgpp::datadriven::DensityOCLMultiPlatform::OperationPruneGraphOCLPure virtual base class for the graph pruning operation
 ►Csgpp::base::OperationQuadratureThis class provides the quadrature of a sparse grid function
 ►Csgpp::datadriven::OperationRosenblattTransformationSampling on all dimensions
 Csgpp::datadriven::OperationRosenblattTransformationKDEDo transformation in all dimensions
 ►Csgpp::base::OperationSecondMomentThis class provides the second moment of a sparse grid function
 ►Csgpp::datadriven::OperationTestOperation the tests the function that is applied the current Sparse sgpp::base::Grid at a given point
 ►Csgpp::datadriven::OperationTransformation1DSample 1D Probability Density Function
 Csgpp::combigrid::OperationUPCombinationGridOperation for applying 1D OperationPole operators on all poles of all full grids of some combination grid, in all dimensions via the unidirectional principle (UP)
 Csgpp::combigrid::OperationUPFullGridOperation for applying 1D OperationPole operators on all poles of a full grid in all dimensions via the unidirectional principle (UP)
 ►Csgpp::base::OperationWeightedQuadratureThis class provides the quadrature of a sparse grid function
 ►Csgpp::base::OperationWeightedSecondMomentThis class provides the second moment of a sparse grid function f w.r.t
 Csgpp::datadriven::ParallelConfigurationStruct that stores all the configuration information for parallelization with ScaLAPACK
 Csgpp::datadriven::PartitioningToolThe methods in this class calculate size and offset of a segment for a partition of a domain
 ►Csgpp::pde::PDESolverThis class provides defines a implements basic task and tools which are useful while solving PDEs
 Csgpp::datadriven::PendingMPIRequest
 ►Csgpp::pde::PhiPhiDownBBLinearImplementation of sweep operator (): 1D Down for Bilinearform \(\int_{x} \phi(x) \phi(x) dx\)
 ►Csgpp::pde::PhiPhiDownBBLinearStretchedImplementation of sweep operator (): 1D Down for Bilinearform \(\int_{x} \phi(x) \phi(x) dx\)
 Csgpp::pde::PhiPhiDownModLinearImplementation of sweep operator (): 1D Down for Bilinearform \(\int_{x} \phi(x) \phi(x) dx\) on mod-linear grids
 ►Csgpp::pde::PhiPhiUpBBLinearImplementation of sweep operator (): 1D Up for Bilinearform \(\int_{x} \phi(x) \phi(x) dx\)
 ►Csgpp::pde::PhiPhiUpBBLinearStretchedImplementation of sweep operator (): 1D Up for Bilinearform \(\int_{x} \phi(x) \phi(x) dx\)
 Csgpp::pde::PhiPhiUpModLinearImplementation of sweep operator (): 1D Up for Bilinearform \(\int_{x} \phi(x) \phi(x) dx\) on mod-linear grids
 Csgpp::datadriven::PolynomialChaosExpansionPCE object providing different methods to calculate the PCE coefficients and evaluating the expansion
 Csgpp::base::PrecisionConverterCopies data from DataVector objects into DataVectorSP objects and vice versa
 Csgpp::datadriven::PrimalDualSVMImplementation of a support vector machine in primal formulation which additionally stores support vectors
 Csgpp::base::PrinterSingleton class to facilitate debugging output
 ►Csgpp::combigrid::PriorityEstimatorGeneric priority estimator for level vectors that don't have a definite result / QoI yet
 ►Csgpp::base::QuadRule1D
 Csgpp::base::QueueLoadBalancerMutex
 Csgpp::base::QueueLoadBalancerOpenMP
 Csgpp::quadrature::RandomWraps the random generator to use
 Csgpp::base::RandomNumberGeneratorSingleton class for generating pseudo-random numbers (wrapper around std::mt19937 from <random>)
 ►Csgpp::base::RefinementFunctorAbstract class that defines the interface that refinement functors have to provide
 Csgpp::base::RefinementFunctorTypeParser
 Csgpp::datadriven::RefinementHandler
 ►Csgpp::datadriven::RefinementMonitorSuperclass for refinement monitors
 Csgpp::datadriven::RefinementMonitorFactoryFactory to create refinement monitors
 Csgpp::datadriven::RefinementResultStructure to hold the grid modifications for a refinement cycle for one class
 Csgpp::datadriven::RefinementResultNetworkMessagePacket wrapped in an UPDATE_GRID MPI_Packet, containing segmented changes for a specified class
 Csgpp::datadriven::RefinementResultSystemMatrixNetworkMessagePacket wrapped in a RefinementResultNetwork Message that contains additional information required when updating the system matrix
 Csgpp::datadriven::RegressionLearnerThe RegressionLearner class Solves a regression problem with continuous target vector
 Csgpp::datadriven::RegularizationConfiguration
 ►Csgpp::solver::RegularizationFunctionBaseclass for regularization functions that can be used in conjunction with a proximal solver
 Csgpp::datadriven::RegularizationTypeParser
 ►Csgpp::combigrid::RelevanceCalculatorGeneric relevance calculator for dimensionally-adaptive combination technique
 ►Csgpp::optimization::ResponseSurfaceGeneral response surface
 ►Csgpp::optimization::ResponseSurfaceVectorGeneral response surface
 Csgpp::datadriven::RosenblattTransformationConfigConfiguration structure for Rosenblatt transformation including default values
 Csgpp::datadriven::RuleOfThumb
 ►Csgpp::quadrature::SampleGeneratorBase class for all types of MonteCarlo sample generators used in SGPP
 ►Csgpp::datadriven::SampleProviderSampleProvider is an abstraction for object that provide sample data from various sources for example datasets from files (ARFF, CSV) or synthetic datasets generated by sampling functions ( Friedmann datasets)
 ►Csgpp::base::ScalarFunctionAbstract base class for scalar-valued functions \(f\colon [0, 1]^d \to \mathbb{R}\) (e.g., objective functions in optimization)
 ►Csgpp::base::ScalarFunctionGradientAbstract base class for scalar-valued functions \(f\colon [0, 1]^d \to \mathbb{R}\) together with their gradients \(\nabla f\colon [0, 1]^d \to \mathbb{R}^d\) (e.g., gradients of objective functions in optimization)
 ►Csgpp::base::ScalarFunctionHessianAbstract base class for scalar-valued functions \(f\colon [0, 1]^d \to \mathbb{R}\) together with their gradients \(\nabla f\colon [0, 1]^d \to \mathbb{R}^d\) and Hessians \(H_f\colon [0, 1]^d \to \mathbb{R}^{d \times d}\) (e.g., Hessians of objective functions in optimization)
 Csgpp::base::ScopedLockWrapper around MutexType which locks and unlocks upon construction/destruction
 Csgpp::datadriven::ScorerBase class for supervised learning used to fit a model and quantify accuracy using a sgpp::datadriven::Metric with either testing or cross validation
 Csgpp::datadriven::ScorerConfigurationSet of parameters to define a scorer instance
 Csgpp::datadriven::ScorerFactoryFactory to build the scorer
 Csgpp::datadriven::ScorerMetricTypeParserConvenience class to convert strings to sgpp::datadriven::ScorerMetricType or sgpp::datadriven::RegularizationMetricType and generate string representations for values of sgpp::datadriven::ScorerMetricType or sgpp::datadriven::RegularizationMetricType
 Csgpp::datadriven::ScottsRule
 Csgpp::base::ScreenOutputThis is used to implement the output on the command line
 Csgpp::datadriven::SGDEConfiguration
 Csgpp::base::SGppStopwatchOS-independent version of a stop watch (using std::chrono)
 ►Csgpp::solver::SGSolverAbstract class that defines a solver used in Sparse Grids Applications
 ►Csgpp::solver::SGSolverSPAbstract class that defines a solver used in Sparse Grids Applications
 Csgpp::datadriven::SilvermansRule
 Csgpp::datadriven::clusteringmpi::SimpleQueue< T >
 ►Csgpp::base::SLEAbstract class representing a system of linear equations
 ►Csgpp::base::sle_solver::SLESolverAbstract class for solving systems of linear equations
 Csgpp::solver::SLESolverConfiguration
 Csgpp::solver::SLESolverSPConfiguration
 Csgpp::solver::SLESolverTypeParserConvenience class to convert strings to sgpp::solver::SLESolverType and generate string representations for values of sgpp::solver::SLESolverType
 Csgpp::datadriven::RegressionLearner::Solver
 ►Csgpp::datadriven::SparseGridMinerSparseGridMiner models the entire mining process for data mining with sparse grids
 Csgpp::base::StdNormalDistributionThis provides an implementation of the standradized normal distribution
 Csgpp::datadriven::StencilConfiguration
 Csgpp::base::StencilDehierarchisationLinearClass that implements the dehierarchisation on a linear sparse grid
 Csgpp::base::StencilDehierarchisationModLinearClass that implements the dehierarchisation on a linear sparse grid
 Csgpp::base::StencilHierarchisationLinearClass that implements the hierarchisation on a linear sparse grid
 Csgpp::base::StencilHierarchisationModLinearClass that implements the hierarchisation on a linear sparse grid
 Csgpp::datadriven::StreamingBSplineOCLKernelImpl< real_type >
 Csgpp::datadriven::StreamingBSplineOCLKernelImpl< T >
 Csgpp::datadriven::StreamingBSplineOCLKernelSourceBuilder< real_type >
 Csgpp::datadriven::StreamingBSplineOCLKernelSourceBuilder< T >
 Csgpp::base::Stretching1D
 Csgpp::base::StringTokenizer
 Csgpp::base::SubspaceGenerator
 Csgpp::datadriven::SubspaceNodeCombined
 Csgpp::datadriven::SubspaceNodeSimple
 Csgpp::base::sweep< FUNC >Standard sweep operation FUNC should be a class with overwritten operator()
 Csgpp::datadriven::TestsetConfiguration
 Cjson::Token
 Csgpp::datadriven::TunableParameter
 ►Csgpp::optimization::optimizer::UnconstrainedOptimizerAbstract class for optimizing objective functions
 ►Csgpp::optimization::test_problems::UnconstrainedTestProblemBase class for analytical, unconstrained test problems
 Csgpp::pde::UpdPhidPhiBBIterativeLinearBoundaryThis class is helper class to implement the complete Up of following bilinearform \(\int_{x} \frac{\partial \phi(x)}{x} \frac{\partial \phi(x)}{x} dx\) for a given dimension by an iterative algorithms on adaptive Sparse Grids with linear ansatzfunctions with boundaries
 Csgpp::pde::UpdPhidPhiBBIterativeLinearStretchedBoundaryThis class is helper class to implement the complete Up of following bilinearform \(\int_{x} \frac{\partial \phi(x)}{x} \frac{\partial \phi(x)}{x} dx\) for a given dimension by an iterative algorithms on adaptive Sparse Grids with linear ansatzfunctions with boundaries
 ►Cstd::vector< T >STL class
 ►Csgpp::base::VectorFunctionAbstract base class for vector-valued functions \(g\colon [0, 1]^d \to \mathbb{R}^m\) (e.g., equality/inequality constraints \(g(\vec{x}) \le \vec{0}\) or \(g(\vec{x}) = \vec{0}\) in optimization)
 ►Csgpp::base::VectorFunctionGradientAbstract base class for vector-valued functions \(g\colon [0, 1]^d \to \mathbb{R}^m\) together with their Jacobians \(\nabla g\colon [0, 1]^d \to \mathbb{R}^{m \times d}\), i.e
 ►Csgpp::base::VectorFunctionHessianAbstract base class for vector-valued functions \(g\colon [0, 1]^d \to \mathbb{R}^m\) together with their Jacobians \(\nabla g\colon [0, 1]^d \to \mathbb{R}^{m \times d}\), i.e
 Csgpp::datadriven::VectorHashHash to make an unordered_set over an vector of size_t's possible
 Csgpp::datadriven::VisualizationGeneralConfig
 Csgpp::datadriven::VisualizationParameters
 Csgpp::datadriven::VisualizationTypesParserConvenience class to convert strings to sgpp::datadriven::VisualizationTypesParser and generate string representations for values of sgpp::datadriven::VisualizationFileType
 ►Csgpp::datadriven::Visualizer
 Csgpp::datadriven::VisualizerConfiguration
 ►CAnalysis
 ►CBilinearQuadratureStrategy
 ►CCandidateSet
 ►CDataAdapter
 ►CDist
 ►CEstimatedDist
 ►CEstimatedDist
 ►CEstimationStrategy
 ►CEstimator
 ►CFoldingPolicy
 ►CGridFormatter
 ►CGzipSerializer
 ►CHashQuadrature
 ►CHashQuadrature
 ►CInfoToScreen
 ►CInterpolationAlgorithm
 ►CLearner
 ►CLearner
 ►CLearnerBuilder
 ►CLearnerEventController
 ►CLinearQuadratureStrategy
 ►CLinearSolver
 ►CLognormal
 ►CModel
 ►CParameter
 ►CQuadratureStrategy
 ►CSampler
 ►CSolverEventController
 ►CSparseGridEstimationStrategy
 ►CTrainingSpecification
 ►CTransformation
 ►CTrilinearQuadratureStrategy