Here is a list of all variables with links to the classes they belong to:

- d -

• d : python.tools.Matrix
• D : python.uq.operations.natafTransformation.NatafTransformation, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking, python.uq.refinement.RefinementStrategy.VarianceOptRanking, python.uq.refinement.RefinementStrategy.WeightedL2BFRanking, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking
• d : sgpp::base::ScalarFunction, sgpp::base::ScalarFunctionGradient, sgpp::base::ScalarFunctionHessian, sgpp::base::VectorFunction, sgpp::base::VectorFunctionGradient, sgpp::base::VectorFunctionHessian, sgpp::optimization::test_problems::ConstrainedTestProblem, sgpp::optimization::test_problems::UnconstrainedTestProblem
• D_inverse : python.uq.operations.natafTransformation.NatafTransformation
• data : sgpp::datadriven::AlgorithmAdaBoostBase, sgpp::datadriven::DataBasedRefinementFunctor, sgpp::datadriven::Dataset, sgpp::datadriven::OperationMultiEvalCuda
• data_matrix : sgpp::datadriven::clusteringmpi::DensityRhsWorker
• databaseConfig : sgpp::datadriven::FitterConfiguration
• dataContainer : python.learner.Learner.Learner, python.uq.learner.Learner.Learner, python.uq.learner.Regressor.Regressor, python.uq.learner.SimulationLearner.SimulationLearner, python.uq.manager.ASGCUQManager.ASGCUQManager
• dataDict : python.data.DataContainer.DataContainer
• dataFold : python.learner.folding.FoldingPolicy.FoldingPolicy
• dataset : python.learner.folding.FoldingPolicy.FoldingPolicy, sgpp::base::ImpurityRefinementIndicator, sgpp::base::OperationMultipleEval
• dataSet : sgpp::base::PredictiveRefinementIndicator
• dataset : sgpp::datadriven::clusteringmpi::MPIWorkerGraphBase, sgpp::datadriven::ModelFittingBase, sgpp::datadriven::MultipleEvalHPX::LocalityMultiplier
• dataset_ : sgpp::datadriven::DMSystemMatrixBase, sgpp::datadriven::DMSystemMatrixBaseSP
• dataset_size : sgpp::datadriven::clusteringmpi::MPIWorkerGraphBase
• datasetP_ : sgpp::datadriven::DMSystemMatrixDRE
• datasetQ_ : sgpp::datadriven::DMSystemMatrixDRE
• datasetSize : sgpp::datadriven::OperationMultiEvalStreamingBSplineOCL< T >
• datasetSizePadded : sgpp::datadriven::OperationMultiEvalStreamingModOCLFastMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLMaskMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLOpt< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >, sgpp::datadriven::StreamingOCLMultiPlatform::OperationMultiEvalStreamingOCLMultiPlatform< T >
• datasetSizeUnpadded : sgpp::datadriven::OperationMultiEvalStreamingModOCLFastMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLMaskMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLOpt< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >, sgpp::datadriven::StreamingOCLMultiPlatform::OperationMultiEvalStreamingOCLMultiPlatform< T >
• dataTransformation : sgpp::datadriven::DataSource
• dataTransformationConfig_ : sgpp::datadriven::DataSourceConfig
• dbFilePath : sgpp::datadriven::DBMatObjectStore, sgpp::datadriven::DBMatPermutationFactory
• debug : python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates
• decomFailed : sgpp::datadriven::BayesianOptimization
• decomposition_ : sgpp::datadriven::DensityEstimationConfiguration
• DEFAULT_ACCEPTANCE_THRESHOLD : sgpp::optimization::optimizer::LevenbergMarquardt
• DEFAULT_ACCURACY : python.learner.solver.CGSolver.CGSolver
• DEFAULT_ADAPTIVITY : sgpp::optimization::IterativeGridGeneratorLinearSurplus, sgpp::optimization::IterativeGridGeneratorRitterNovak, sgpp::optimization::IterativeGridGeneratorSOO
• DEFAULT_ALPHA : sgpp::optimization::optimizer::NelderMead
• DEFAULT_ALPHA1 : sgpp::optimization::optimizer::Newton
• DEFAULT_ALPHA2 : sgpp::optimization::optimizer::Newton
• DEFAULT_AVG_IMPROVEMENT_THRESHOLD : sgpp::optimization::optimizer::DifferentialEvolution
• DEFAULT_BARRIER_DECREASE_FACTOR : sgpp::optimization::optimizer::LogBarrier
• DEFAULT_BARRIER_START_VALUE : sgpp::optimization::optimizer::LogBarrier
• DEFAULT_BETA : sgpp::optimization::optimizer::GradientDescent, sgpp::optimization::optimizer::NelderMead, sgpp::optimization::optimizer::Newton, sgpp::optimization::optimizer::NLCG
• DEFAULT_BINARY_SEARCH_TOLERANCE : sgpp::optimization::FuzzyIntervalViaConfidenceInterval, sgpp::optimization::FuzzyIntervalViaMembershipFunction
• DEFAULT_CONSTRAINT_TOLERANCE : sgpp::optimization::optimizer::AugmentedLagrangian, sgpp::optimization::optimizer::SquaredPenalty
• DEFAULT_CROSSOVER_PROBABILITY : sgpp::optimization::optimizer::DifferentialEvolution
• DEFAULT_DAMPING_DECREASE_FACTOR : sgpp::optimization::optimizer::AdaptiveNewton
• DEFAULT_DAMPING_INCREASE_FACTOR : sgpp::optimization::optimizer::AdaptiveNewton
• DEFAULT_DELTA : sgpp::optimization::optimizer::NelderMead
• DEFAULT_EFFECTIVENESS_THRESHOLD : sgpp::optimization::optimizer::LevenbergMarquardt
• DEFAULT_EPSILON : sgpp::optimization::optimizer::GradientDescent, sgpp::optimization::optimizer::Newton, sgpp::optimization::optimizer::NLCG
• DEFAULT_GAMMA : sgpp::optimization::optimizer::GradientDescent, sgpp::optimization::optimizer::NelderMead, sgpp::optimization::optimizer::Newton, sgpp::optimization::optimizer::NLCG
• DEFAULT_IDLE_GENERATIONS_COUNT : sgpp::optimization::optimizer::DifferentialEvolution
• DEFAULT_IMAX : python.learner.solver.CGSolver.CGSolver
• DEFAULT_INITIAL_DAMPING : sgpp::optimization::optimizer::LevenbergMarquardt
• DEFAULT_INITIAL_LEVEL : sgpp::optimization::IterativeGridGeneratorLinearSurplus, sgpp::optimization::IterativeGridGeneratorRitterNovak
• DEFAULT_INITIAL_STEP_SIZE : sgpp::optimization::optimizer::Rprop
• DEFAULT_LINE_SEARCH_ACCURACY : sgpp::optimization::optimizer::AdaptiveGradientDescent, sgpp::optimization::optimizer::AdaptiveNewton, sgpp::optimization::optimizer::BFGS
• DEFAULT_MAX_DISTANCE_THRESHOLD : sgpp::optimization::optimizer::DifferentialEvolution
• DEFAULT_MAX_FCN_EVAL_COUNT : sgpp::optimization::optimizer::CMAES, sgpp::optimization::optimizer::MultiStart, sgpp::optimization::optimizer::NelderMead
• DEFAULT_MAX_IT_COUNT : sgpp::base::sle_solver::BiCGStab, sgpp::optimization::optimizer::GradientDescent
• DEFAULT_MAX_LEVEL : sgpp::base::ClenshawCurtisTable, sgpp::optimization::IterativeGridGeneratorRitterNovak
• DEFAULT_N : sgpp::optimization::optimizer::LeastSquaresOptimizer, sgpp::optimization::optimizer::UnconstrainedOptimizer
• DEFAULT_NUMBER_OF_ALPHA_SEGMENTS : sgpp::optimization::FuzzyExtensionPrinciple, sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak
• DEFAULT_NUMBER_OF_INTEGRAL_SAMPLES : sgpp::optimization::FuzzyInterval
• DEFAULT_P : sgpp::optimization::optimizer::Newton
• DEFAULT_PENALTY_INCREASE_FACTOR : sgpp::optimization::optimizer::AugmentedLagrangian, sgpp::optimization::optimizer::SquaredPenalty
• DEFAULT_PENALTY_START_VALUE : sgpp::optimization::optimizer::AugmentedLagrangian, sgpp::optimization::optimizer::SquaredPenalty
• DEFAULT_RESTART_THRESHOLD : sgpp::optimization::optimizer::NLCG
• DEFAULT_SCALING_FACTOR : sgpp::optimization::optimizer::DifferentialEvolution
• DEFAULT_STANDARD_DEVIATION : sgpp::optimization::test_problems::ConstrainedTestProblem, sgpp::optimization::test_problems::UnconstrainedTestProblem
• DEFAULT_STEP_SIZE_DECREASE_FACTOR : sgpp::optimization::optimizer::AdaptiveGradientDescent, sgpp::optimization::optimizer::AdaptiveNewton, sgpp::optimization::optimizer::BFGS, sgpp::optimization::optimizer::Rprop
• DEFAULT_STEP_SIZE_INCREASE_FACTOR : sgpp::optimization::optimizer::AdaptiveGradientDescent, sgpp::optimization::optimizer::AdaptiveNewton, sgpp::optimization::optimizer::BFGS, sgpp::optimization::optimizer::Rprop
• DEFAULT_TOLERANCE : sgpp::base::sle_solver::BiCGStab, sgpp::optimization::optimizer::AdaptiveGradientDescent, sgpp::optimization::optimizer::AdaptiveNewton, sgpp::optimization::optimizer::BFGS, sgpp::optimization::optimizer::GradientDescent, sgpp::optimization::optimizer::LevenbergMarquardt, sgpp::optimization::optimizer::LogBarrier, sgpp::optimization::optimizer::Newton, sgpp::optimization::optimizer::NLCG, sgpp::optimization::optimizer::Rprop
• DEFAULT_VERBOSITY : sgpp::base::Printer
• DEFAULT_X_TOLERANCE : sgpp::optimization::optimizer::AugmentedLagrangian, sgpp::optimization::optimizer::SquaredPenalty
• defaultOptimizer : sgpp::optimization::FuzzyExtensionPrincipleViaOptimization, sgpp::optimization::optimizer::MultiStart
• defaultSleSolver : sgpp::optimization::optimizer::AdaptiveNewton, sgpp::optimization::optimizer::LevenbergMarquardt, sgpp::optimization::optimizer::Newton
• defaultValues : sgpp::base::ComponentScalarFunction, sgpp::base::ComponentScalarFunctionGradient, sgpp::base::ComponentScalarFunctionHessian
• degree : sgpp::base::BsplineBasis< LT, IT >, sgpp::base::BsplineBoundaryGrid, sgpp::base::BsplineClenshawCurtisGrid, sgpp::base::BsplineGrid, sgpp::base::BsplineModifiedClenshawCurtisBasis< LT, IT >, sgpp::base::FundamentalNakSplineBoundaryGrid, sgpp::base::FundamentalSplineBoundaryGrid, sgpp::base::FundamentalSplineGrid, sgpp::base::ModBsplineClenshawCurtisGrid, sgpp::base::ModBsplineGrid, sgpp::base::ModFundamentalSplineGrid, sgpp::base::ModNakBsplineGrid, sgpp::base::ModPolyClenshawCurtisGrid, sgpp::base::ModPolyGrid, sgpp::base::ModWeaklyFundamentalNakSplineGrid, sgpp::base::NakBsplineBoundaryGrid, sgpp::base::NakBsplineExtendedGrid, sgpp::base::NakBsplineGrid, sgpp::base::NakPBsplineGrid, sgpp::base::NaturalBsplineBoundaryGrid, sgpp::base::PolyBasis< LT, IT >, sgpp::base::PolyBoundaryGrid, sgpp::base::PolyClenshawCurtisBasis< LT, IT >, sgpp::base::PolyClenshawCurtisBoundaryGrid, sgpp::base::PolyClenshawCurtisGrid, sgpp::base::PolyGrid, sgpp::base::WeaklyFundamentalNakSplineBoundaryGrid, sgpp::base::WeaklyFundamentalSplineBasis< LT, IT >, sgpp::base::WeaklyFundamentalSplineBasisDeriv1< LT, IT >, sgpp::base::WeaklyFundamentalSplineBasisDeriv2< LT, IT >, sgpp::base::WeaklyFundamentalSplineBoundaryGrid, sgpp::combigrid::OperationPoleNodalisationBspline
• deletedGridPointsIndices : sgpp::datadriven::RefinementResult
• delta : sgpp::optimization::optimizer::NelderMead
• densityEstimationConfig : sgpp::datadriven::FitterConfiguration, sgpp::datadriven::LearnerSGDEOnOffParallel
• densityFunctions : sgpp::datadriven::LearnerSGDEOnOffParallel
• device_ids : sgpp::base::OCLManager
• deviceId : sgpp::base::OCLDevice
• deviceIds : sgpp::base::OCLPlatformWrapper
• deviceName : sgpp::base::OCLDevice
• deviceNames : sgpp::base::OCLPlatformWrapper
• devices : sgpp::base::OCLManagerMultiPlatform, sgpp::datadriven::OperationMultiEvalStreamingModOCLFastMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLMaskMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLOpt< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >, sgpp::datadriven::StreamingOCLMultiPlatform::OperationMultiEvalStreamingOCLMultiPlatform< T >
• dF : sgpp::base::ComponentScalarFunction, sgpp::base::ComponentScalarFunctionGradient, sgpp::base::ComponentScalarFunctionHessian
• diagonal : sgpp::datadriven::OperationRegularizationDiagonal
• dim : python.data.DataContainer.DataContainer, python.uq.dists.EstimatedDist.EstimatedDist, python.uq.dists.LibAGFDist.LibAGFDist, python.uq.dists.SGDEdist.SGDEdist, python.uq.operations.natafTransformation.NatafTransformation, sgpp::combigrid::IndexVectorIterator, sgpp::combigrid::IndexVectorRange, sgpp::combigrid::OperationPoleHierarchisationGeneral::HierarchisationGeneralSLE, sgpp::datadriven::AlgorithmAdaBoostBase
• DIM : sgpp::datadriven::OperationMultiEvalCuda
• dim : sgpp::datadriven::OperationMultiEvalHPX, sgpp::datadriven::OperationMultiEvalMPI, sgpp::pde::PDESolver
• dim_ : sgpp::base::GeneralGridConfiguration, sgpp::datadriven::GeometryConfiguration
• dimension : sgpp::base::BoundingBox, sgpp::datadriven::Dataset
• dimensions : sgpp::datadriven::clusteringmpi::MPIWorkerGraphBase, sgpp::quadrature::OperationQuadratureMCAdvanced, sgpp::quadrature::SampleGenerator
• dims : sgpp::datadriven::OperationMultiEvalStreamingBSplineOCL< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLFastMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLMaskMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLOpt< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >, sgpp::datadriven::StreamingOCLMultiPlatform::OperationMultiEvalStreamingOCLMultiPlatform< T >
• discOptions : sgpp::datadriven::FitterFactory
• dispar : sgpp::datadriven::FitterFactory
• displacement : sgpp::optimization::test_problems::ConstrainedTestProblem, sgpp::optimization::test_problems::TestScalarFunction, sgpp::optimization::test_problems::TestVectorFunction, sgpp::optimization::test_problems::UnconstrainedTestProblem
• disposeAfterCallback : sgpp::datadriven::PendingMPIRequest
• dist : python.uq.dists.KDEDist.KDEDist, python.uq.dists.MultivariateNormal.MultivariateNormal
• distInt : sgpp::quadrature::Random
• distReal : sgpp::quadrature::Random
• distributedVectorsInitialized : sgpp::datadriven::DBMatOnlineDE
• doCrossValidation : sgpp::datadriven::AssignBatchNetworkMessage
• dtype : python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor, python.uq.learner.builder.RegressorSpecificationDescriptor.RegressorSpecificationDescriptor
• duration : sgpp::datadriven::OperationMultiEvalCuda, sgpp::datadriven::OperationMultiEvalHPX, sgpp::datadriven::OperationMultiEvalModMaskStreaming, sgpp::datadriven::OperationMultiEvalMPI, sgpp::datadriven::OperationMultiEvalStreaming, sgpp::datadriven::OperationMultiEvalStreamingBSpline, sgpp::datadriven::OperationMultiEvalStreamingBSplineOCL< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLFastMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLMaskMultiPlatform< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLOpt< T >, sgpp::datadriven::OperationMultiEvalStreamingModOCLUnified< T >, sgpp::datadriven::StreamingOCLMultiPlatform::OperationMultiEvalStreamingOCLMultiPlatform< T >