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

- e -

• elements : sgpp::base::OCLClonedBuffer, sgpp::base::OCLClonedBufferMultiPlatform
• enable_ : sgpp::datadriven::CrossvalidationConfiguration, sgpp::datadriven::CrossvalidationForRegularizationConfiguration
• epochs_ : sgpp::datadriven::DataSourceConfig
• eps : sgpp::optimization::optimizer::GradientDescent, sgpp::optimization::optimizer::Newton, sgpp::optimization::optimizer::NLCG
• eps_ : sgpp::solver::SLESolverConfiguration, sgpp::solver::SLESolverSPConfiguration
• epsilon : sgpp::datadriven::AlgorithmAdaBoostBase, sgpp::optimization::optimizer::AugmentedLagrangian, sgpp::optimization::optimizer::SquaredPenalty
• epsilon_final : sgpp::datadriven::AlgorithmAdaBoostBase
• error : python.learner.Regressor.Regressor, python.uq.dists.J.J, python.uq.learner.Regressor.Regressor, sgpp::datadriven::LearnerSGD, sgpp::datadriven::LearnerSGDE, sgpp::datadriven::LearnerSVM
• errorBasedRefinement_ : sgpp::base::AdaptivityConfiguration
• errorBufferSize_ : sgpp::base::AdaptivityConfiguration
• errorConvergenceThreshold_ : sgpp::base::AdaptivityConfiguration
• errorMinInterval_ : sgpp::base::AdaptivityConfiguration
• errors : python.learner.Regressor.Regressor, python.uq.learner.Regressor.Regressor
• errorVector : sgpp::base::PredictiveRefinementIndicator
• escapes : python.utils.json.JsonReader
• ESTIMATE_NNZ_ROWS_SAMPLE_SIZE : sgpp::base::sle_solver::Auto
• evals : sgpp::datadriven::DataBasedRefinementFunctor
• eventControllers : python.learner.Learner.Learner, python.learner.solver.LinearSolver.LinearSolver, python.uq.learner.Learner.Learner
• execTime : sgpp::datadriven::LearnerBase
• execTime_ : sgpp::datadriven::LearnerBaseSP
• ExecTimeOnStep : sgpp::datadriven::LearnerBase
• execute_ : sgpp::datadriven::VisualizationGeneralConfig
• existingGridPointsOnLevel : sgpp::datadriven::SubspaceNodeCombined
• EXPANDEDPROBABILISTIC : python.uq.sampler.Sample.SampleType
• EXPANDEDUNIT : python.uq.sampler.Sample.SampleType
• EXPECTATIONVALUE : python.uq.analysis.KnowledgeTypes.KnowledgeTypes
• expectedLargestDifference : sgpp::datadriven::TestsetConfiguration
• expectedMSE : sgpp::datadriven::TestsetConfiguration
• expectedsamplecount : python.uq.uq_setting.UQSetting.UQSetting, python.uq.uq_setting.UQSettingManager.UQSettingManager
• exponentBase_ : sgpp::datadriven::RegularizationConfiguration
• extraDataset : sgpp::datadriven::ModelFittingBase