Index

_ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X

_

__init__() (Action method) (AdvectionDiffusion1D method) (AdvectionDiffusion1DConfigs method) (AdvectionDiffusion2D method), [1] (AdvectionDiffusion2DConfigs method), [1] (AdvectionDiffusion3D method) (Agent method) (AlternatingSignOptimizationFunction method) (ArrayOperator method) (ArrayOperatorConfigs method) (AugmentedComplexKalmanFilter method) (AugmentedComplexKalmanFilterConfigs method) (BayesianFilter method), [1] (BayesianFilterConfigs method), [1] (BayesianFilterResults method), [1] (BayesianInversionAOpt method) (BayesianInversionAOptConfigs method) (BayesianInversionCriterion method) (BayesianInversionCriterionConfigs method) (BayesianInversionDOpt method) (BayesianInversionDOptConfigs method) (BayesianInversionEIG method) (BayesianInversionEIGConfigs method) (BayesianInversionKLDivergenceGaussian method) (BayesianInversionKLDivergenceGaussianConfigs method) (BayesianSmoother method), [1] (BayesianSmootherConfigs method), [1] (BayesianSmootherResults method), [1] (Bernoulli method) (BernoulliConfigs method) (BernoulliPolicy method) (BinaryReinforceOptimizer method) (BinaryReinforceOptimizerConfigs method) (BinaryReinforceOptimizerResults method) (BinarySAAOptimizer method) (BinaryState method) (BraggPtychography method) (Burgers1D method) (Burgers1DConfigs method) (Burgers2D method) (Burgers2DConfigs method) (CartesianInterpolator method) (CartesianInterpolatorConfigs method) (CDI method) (ChainDiagnostics method) (ComplexGaussianPosterior method) (ComplexGaussianPosteriorConfigs method) (ConditionalBernoulli method) (ConditionalBernoulliConfigs method) (ConstrainedBinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizerConfigs method) (ConstrainedBinaryReinforceOptimizerResults method) (ConventionalComplexKalmanFilter method) (ConventionalComplexKalmanFilterConfigs method) (Criterion method), [1] (CriterionConfigs method), [1] (Distribution method) (DistributionConfigs method) (DolfinBiLaplacianErrorModel method) (DolfinBiLaplacianErrorModelConfigs method) (DolfinGaussianErrorModel method) (DolfinGaussianErrorModelConfigs method) (DolfinLaplacianErrorModel method) (DolfinLaplacianErrorModelConfigs method) (DolfinLinearPredictionOperator method) (DolfinLinearPredictionOperatorConfigs method) (DolfinPointWise method) (DolfinPointWiseConfigs method) (ErrorModel method) (ErrorModelConfigs method) (Exponential method) (ExponentialConfigs method) (ExponentialProposal method) (ExponentialProposalConfigs method) (FacilityFunction method) (FederovExchangeIntermediateResults method) (FederovExchangeOptimizer method) (FederovExchangeOptimizerConfigs method) (FederovExchangeOptimizerResults method) (Filter method) (FilterConfigs method) (FilterResults method) (FlipAction method) (FourierPtychography method) (GaussianCovarianceMatrix method) (GaussianErrorModel method) (GaussianErrorModelConfigs method) (GaussianMixtureModelProposal method) (GaussianMixtureModelProposalConfigs method) (GaussianPosterior method) (GaussianPosteriorConfigs method) (GaussianProposal method) (GaussianProposalConfigs method) (GeneralizedConditionalBernoulli method) (GeneralizedConditionalBernoulliConfigs method) (GoalOrientedInverseProblem method), [1] (GoalOrientedInverseProblemConfigs method), [1] (GoalOrientedLinearInverseProblem method) (GoalOrientedLinearInverseProblemConfigs method) (GoalOrientedOperator method), [1] (GoalOrientedOperatorConfigs method), [1] (GreedyBinaryIntermediateResults method) (GreedyBinaryOptimizer method) (GreedyBinaryOptimizerConfigs method) (GreedyBinaryOptimizerResults method) (HMCSampler method) (HMCSamplerConfigs method) (HybridFilter method), [1] (HybridFilterConfigs method), [1] (HybridFilterResults method), [1] (HybridSmoother method), [1] (HybridSmootherConfigs method), [1] (HybridSmootherResults method), [1] (Identity method) (IdentityConfigs method) (InverseProblem method) (InverseProblemConfigs method) (InverseProblemResults method) (InversionCriterion method) (InversionCriterionConfigs method) (InversionOED method) (InversionOEDConfigs method) (InversionOEDResults method) (IsolatedBinaryOptimizationFunction method) (KalmanFilter method) (KalmanFilterConfigs method) (Linearization method) (Lorenz63 method) (Lorenz63Configs method) (Lorenz96 method) (Lorenz96Configs method) (MassMatrix method) (MCMCSampler method) (MCMCSamplerConfigs method) (NystromRandomizedHessian method) (ObservationOperator method) (ObservationOperatorConfigs method) (OED method) (OEDConfigs method) (OEDResults method) (Optimizer method) (OptimizerConfigs method) (OptimizerResults method) (PointwiseWeightedGaussianErrorModel method) (PointwiseWeightedGaussianErrorModelConfigs method) (PoissonBinomial method) (PoissonBinomialConfigs method) (Policy method) (Power method) (PowerConfigs method) (PrePostWeightedGaussianErrorModel method) (PrePostWeightedGaussianErrorModelConfigs method) (Proposal method) (ProposalConfigs method) (PyOEDABCMeta method) (PyOEDConfigs method) (PyOEDContainer method) (PyOEDData method) (PyOEDObject method) (RandomNumberGenerationMixin method) (RejectionSampler method) (RejectionSamplerConfigs method) (RelaxedBayesianInversionAOpt method) (RelaxedBayesianInversionAOptConfigs method) (RelaxedBayesianInversionDOpt method) (RelaxedBayesianInversionDOptConfigs method) (RFunction method) (RFunctionConfigs method) (RobustBayesianInversionAOpt method) (RobustBayesianInversionAOptConfigs method) (RobustBayesianInversionDOpt method) (RobustBayesianInversionDOptConfigs method) (RobustBinaryReinforceOptimizer method) (RobustBinaryReinforceOptimizerConfigs method) (RobustBinaryReinforceOptimizerResults method) (RobustConstrainedBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizerConfigs method) (RobustConstrainedBinaryReinforceOptimizerResults method) (RobustInversionOEDConfigs method) (RobustInversionOEDResults method) (RobustOEDConfigs method) (RobustOEDResults method) (RobustSensorPlacementBayesianInversionOED method) (RobustSensorPlacementBayesianInversionOEDConfigs method) (RobustSensorPlacementBayesianInversionOEDResults method) (Sampler method) (SamplerConfigs method) (SamplingResults method) (ScipyOptimizer method) (ScipyOptimizerConfigs method) (ScipyOptimizerResults method) (SelectionOperator method) (SelectionOperatorConfigs method) (SensorPlacementBayesianInversionOED method) (SensorPlacementBayesianInversionOEDConfigs method) (SensorPlacementBayesianInversionOEDResults method) (SensorPlacementInversionOEDConfigs method) (SensorPlacementInversionOEDResults method) (SimulationModel method) (SimulationModelConfigs method) (SLOEDResults method) (Smoother method) (SmootherConfigs method) (SmootherResults method) (State method) (Subsurf2D method) (Subsurf2DConfigs method) (SuccessiveLaplaceOED method) (SuccessiveLaplaceOEDConfigs method) (SupportsRelaxedOptimization method) (SupportsRobustOptimization method) (SVDReducedHessian method) (TimeDependentModel method) (TimeDependentModelConfigs method) (TimeIndependentBlackBox method) (TimeIndependentBlackBoxConfigs method) (TimeIndependentModel method) (Tomography method) (TomographyConfigs method) (ToyLinearTimeDependent method) (ToyLinearTimeDependentConfigs method) (ToyLinearTimeIndependent method) (ToyLinearTimeIndependentConfigs method) (ToyQuark method) (ToyQuarkConfigs method) (VanillaFourDVar method) (VanillaFourDVarConfigs method) (VanillaThreeDVar method) (VanillaThreeDVarConfigs method) (VariationalFilter method), [1] (VariationalFilterConfigs method), [1] (VariationalFilterResults method), [1] (VariationalSmoother method), [1] (VariationalSmootherConfigs method), [1] (VariationalSmootherResults method), [1] (WeightedAlternatingSignOptimizationFunction method)

A

acceptance_flags (SamplingResults attribute) acceptance_probabilities (SamplingResults attribute) acceptance_rate (ChainDiagnostics attribute) accuracy (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute) action (Action property) Action (class in pyoed.ml.reinforcement_learning) action (FlipAction property) active (DolfinGaussianErrorModel property) (DolfinLaplacianErrorModel property) (ErrorModel property) (GaussianErrorModel property) active_size (DolfinLaplacianErrorModel property) (ErrorModel property) (GaussianErrorModel property) active_size() (DolfinGaussianErrorModel method) adaptive_contrastive_estimation (BayesianInversionEIG property) (BayesianInversionEIGConfigs attribute) add_3D_cylinder_to_axis() (in module pyoed.utility.plot) add_box_to_axis() (in module pyoed.utility.plot) add_circle_to_axis() (in module pyoed.utility.plot) add_cube_to_axis() (in module pyoed.utility.plot) add_noise() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) add_result() (SLOEDResults method) AdvectionDiffusion1D (class in pyoed.models.simulation_models.advection_diffusion) AdvectionDiffusion1DConfigs (class in pyoed.models.simulation_models.advection_diffusion) AdvectionDiffusion2D (class in pyoed.models.simulation_models.advection_diffusion) (class in pyoed.models.simulation_models.fenics_models.advection_diffusion) AdvectionDiffusion2DConfigs (class in pyoed.models.simulation_models.advection_diffusion) (class in pyoed.models.simulation_models.fenics_models.advection_diffusion) AdvectionDiffusion3D (class in pyoed.models.simulation_models.advection_diffusion) Agent (class in pyoed.ml.reinforcement_learning) aggregate() (in module pyoed.utility.misc) aggregate_configurations() (in module pyoed.configs.configs) (in module pyoed.utility.misc) (PyOEDObject method) AlternatingSignOptimizationFunction (class in pyoed.optimization.test_functions.binary_test_functions) analysis() (AugmentedComplexKalmanFilter method) (ConventionalComplexKalmanFilter method) (KalmanFilter method)

analyze_inverse_problem_solution() (in module pyoed.examples.oed.robust_oed.robust_oed) annotate_heatmap() (in module pyoed.examples.starters.toy_quark) antithetic (BinaryReinforceOptimizerConfigs attribute) apply() (ArrayOperator method) (CartesianInterpolator method) (DolfinLinearPredictionOperator method) (DolfinPointWise method) (Exponential method) (GoalOrientedOperator method), [1] (Identity method) (ObservationOperator method) (Power method) (SelectionOperator method) (SVDReducedHessian method) (TimeIndependentModel method) apply_adjoint() (DolfinLinearPredictionOperator method) (GoalOrientedOperator method), [1] apply_adjoint_operator() (in module pyoed.assimilation.assimilation_utils) apply_forward_operator() (InverseProblem method) (VanillaFourDVar method) (VanillaThreeDVar method) apply_forward_operator_adjoint() (DolfinThreeDVar method) (InverseProblem method) (VanillaFourDVar method) (VanillaThreeDVar method) apply_symplectic_integration() (HMCSampler method) apply_TLM_operator() (in module pyoed.assimilation.assimilation_utils) apply_weighting_matrix() (GaussianErrorModel method) (PointwiseWeightedGaussianErrorModel method) (PrePostWeightedGaussianErrorModel method) args (ScipyOptimizerConfigs attribute) array() (NystromRandomizedHessian method) (ReducedHessian method) (SVDReducedHessian method) array_inverse() (NystromRandomizedHessian method) (ReducedHessian method) (SVDReducedHessian method) ArrayOperator (class in pyoed.models.observation_operators.interpolation) ArrayOperatorConfigs (class in pyoed.models.observation_operators.interpolation) asarray() (in module pyoed.utility.math) asdict() (PyOEDContainer method) AugmentedComplexKalmanFilter (class in pyoed.assimilation.filtering.complex_kalman) AugmentedComplexKalmanFilterConfigs (class in pyoed.assimilation.filtering.complex_kalman) axis_cartesian_dimensions() (in module pyoed.utility.plot)

B

backtracking_line_sesarch() (in module pyoed.optimization.optimization_utils) bad_objective_value (ConstrainedBinaryReinforceOptimizerConfigs attribute) banana_log_density() (in module pyoed.examples.stats.sampling) (in module pyoed.stats.sampling.mcmc) banana_log_density_gradient() (in module pyoed.examples.stats.sampling) (in module pyoed.stats.sampling.mcmc) banana_potential_energy_gradient() (in module pyoed.examples.stats.sampling) (in module pyoed.stats.sampling.mcmc) banana_potential_energy_value() (in module pyoed.examples.stats.sampling) (in module pyoed.stats.sampling.mcmc) baseline (BinaryReinforceOptimizerConfigs attribute) BayesianFilter (class in pyoed.assimilation.core.filtering), [1] BayesianFilterConfigs (class in pyoed.assimilation.core.filtering), [1] BayesianFilterResults (class in pyoed.assimilation.core.filtering), [1] BayesianInversionAOpt (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.bayesian_a_opt) BayesianInversionAOptConfigs (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.bayesian_a_opt) BayesianInversionCriterion (class in pyoed.oed.core) BayesianInversionCriterionConfigs (class in pyoed.oed.core) BayesianInversionDOpt (class in pyoed.oed.utility_functions.alphabetic_criteria.d_opt.bayesian_d_opt) BayesianInversionDOptConfigs (class in pyoed.oed.utility_functions.alphabetic_criteria.d_opt.bayesian_d_opt) BayesianInversionEIG (class in pyoed.oed.utility_functions.information_criteria.eig) BayesianInversionEIGConfigs (class in pyoed.oed.utility_functions.information_criteria.eig) BayesianInversionKLDivergenceGaussian (class in pyoed.oed.utility_functions.information_criteria.kl_divergence) BayesianInversionKLDivergenceGaussianConfigs (class in pyoed.oed.utility_functions.information_criteria.kl_divergence) BayesianInversionUtility (in module pyoed.oed.core) BayesianInversionUtilityConfigs (in module pyoed.oed.core) BayesianSmoother (class in pyoed.assimilation.core.smoothing), [1] BayesianSmootherConfigs (class in pyoed.assimilation.core.smoothing), [1] BayesianSmootherResults (class in pyoed.assimilation.core.smoothing), [1] Bernoulli (class in pyoed.stats.distributions.bernoulli) Bernoulli_random_sampler (BinaryReinforceOptimizer property) (ConstrainedBinaryReinforceOptimizer property) BernoulliConfigs (class in pyoed.stats.distributions.bernoulli) BernoulliPolicy (class in pyoed.ml.reinforcement_learning) best_along_the_route (BinaryReinforceOptimizerResults attribute) best_design_idx (FederovExchangeIntermediateResults attribute) (GreedyBinaryIntermediateResults attribute) best_design_objval (FederovExchangeIntermediateResults attribute) (GreedyBinaryIntermediateResults attribute) beta (Lorenz63 property) (Lorenz63Configs attribute)

binary_bruteforce_objective() (in module pyoed.optimization.optimization_utils) binary_bruteforce_solution() (in module pyoed.optimization.optimization_utils) BinaryReinforceOptimizer (class in pyoed.optimization.binary_optimization.stochastic_binary_optimization) BinaryReinforceOptimizerConfigs (class in pyoed.optimization.binary_optimization.stochastic_binary_optimization) BinaryReinforceOptimizerResults (class in pyoed.optimization.binary_optimization.stochastic_binary_optimization) BinarySAAOptimizer (class in pyoed.optimization.binary_optimization.stochastic_binary_optimization) BinaryState (class in pyoed.ml.reinforcement_learning) bounds (RejectionSamplerConfigs attribute) (ScipyOptimizerConfigs attribute) box_projection() (in module pyoed.optimization.optimization_utils) BraggPtychography (class in pyoed.models.simulation_models.imaging) bruteforce_objective_values() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) (FederovExchangeOptimizer method) (GreedyBinaryOptimizer method) (RobustBinaryReinforceOptimizer method) budget (FederovExchangeOptimizer property) (FederovExchangeOptimizerConfigs attribute) budget_enforcement_approach (ConstrainedBinaryReinforceOptimizer property) (ConstrainedBinaryReinforceOptimizerConfigs attribute) budgets (ConstrainedBinaryReinforceOptimizer property) (ConstrainedBinaryReinforceOptimizerConfigs attribute) (ConstrainedBinaryReinforceOptimizerResults attribute) (GeneralizedConditionalBernoulli property) (GeneralizedConditionalBernoulliConfigs attribute) (GreedyBinaryOptimizer property) (GreedyBinaryOptimizerConfigs attribute) (RobustConstrainedBinaryReinforceOptimizer property) (RobustConstrainedBinaryReinforceOptimizerConfigs attribute) (RobustConstrainedBinaryReinforceOptimizerResults attribute) budgets_probabilities (GeneralizedConditionalBernoulli property) build_Hamiltonian_trajectory() (HMCSampler method) build_weighting_matrix() (PointwiseWeightedGaussianErrorModel method) Burgers1D (class in pyoed.models.simulation_models.bateman_burgers) Burgers1DConfigs (class in pyoed.models.simulation_models.bateman_burgers) Burgers2D (class in pyoed.models.simulation_models.bateman_burgers) Burgers2DConfigs (class in pyoed.models.simulation_models.bateman_burgers) burn_in (HMCSampler property) (HMCSamplerConfigs attribute) (MCMCSampler property) (MCMCSamplerConfigs attribute)

C

c (AdvectionDiffusion1D property) (AdvectionDiffusion1DConfigs attribute) calculate_oed_criterion() (in module pyoed.utility.stats) calculate_rmse() (in module pyoed.utility.stats) calculate_w() (ConditionalBernoulli method) (PoissonBinomial method) (RFunction method) callback (ScipyOptimizerConfigs attribute) CartesianInterpolator (class in pyoed.models.observation_operators.interpolation) CartesianInterpolatorConfigs (class in pyoed.models.observation_operators.interpolation) CDI (class in pyoed.models.simulation_models.imaging) chain_diagnostics (SamplingResults attribute) chain_state_repository (SamplingResults attribute) chain_time (SamplingResults attribute) ChainDiagnostics (class in pyoed.stats.sampling.mcmc) check_linearization() (InversionCriterion method) check_registered_budgets() (ConstrainedBinaryReinforceOptimizer method) (GeneralizedConditionalBernoulli method) (RobustConstrainedBinaryReinforceOptimizer method) check_registered_elements() (InverseProblem method) (Smoother method) (VanillaFourDVar method) (VanillaThreeDVar method) class_doc_inheritance() (in module pyoed.configs.configs) clear_objective_value_tracker() (BinaryReinforceOptimizer method) (FederovExchangeOptimizer method) (GreedyBinaryOptimizer method) collected_ensemble (SamplingResults attribute) complex_sample_covariance() (in module pyoed.utility.stats) complex_to_real_covariances() (in module pyoed.utility.stats) ComplexGaussianPosterior (class in pyoed.assimilation.core.assimilation) ComplexGaussianPosteriorConfigs (class in pyoed.assimilation.core.assimilation) conditional_bernoulli_model (GeneralizedConditionalBernoulli property) conditional_log_probability_gradient() (BernoulliPolicy method) (Policy method) conditional_probability() (BernoulliPolicy method) (Policy method) ConditionalBernoulli (class in pyoed.stats.distributions.conditional_bernoulli) ConditionalBernoulliConfigs (class in pyoed.stats.distributions.conditional_bernoulli) configurations (BayesianInversionAOpt property) (BinaryReinforceOptimizerResults attribute) (FederovExchangeOptimizerResults attribute) (GreedyBinaryOptimizerResults attribute) (InversionCriterion property) (PyOEDObject property) (RelaxedBayesianInversionAOpt property) (RelaxedBayesianInversionDOpt property) (RobustBinaryReinforceOptimizerResults attribute) (ScipyOptimizerResults attribute) configurations_class (PyOEDObject property) ConstrainedBinaryReinforceOptimizer (class in pyoed.optimization.binary_optimization.constrained_binary_optimization) ConstrainedBinaryReinforceOptimizerConfigs (class in pyoed.optimization.binary_optimization.constrained_binary_optimization) ConstrainedBinaryReinforceOptimizerResults (class in pyoed.optimization.binary_optimization.constrained_binary_optimization) constraint_max_trials (ExponentialProposal property) (ExponentialProposalConfigs attribute) (GaussianMixtureModelProposal property) (GaussianMixtureModelProposalConfigs attribute) (GaussianProposal property) (GaussianProposalConfigs attribute) constraint_test (ExponentialProposal property) (ExponentialProposalConfigs attribute) (GaussianMixtureModelProposal property) (GaussianMixtureModelProposalConfigs attribute) (GaussianProposal property) (GaussianProposalConfigs attribute) (HMCSampler property) (HMCSamplerConfigs attribute) (MCMCSampler property) (MCMCSamplerConfigs attribute) (RejectionSamplerConfigs attribute) constraints (ScipyOptimizerConfigs attribute) ConventionalComplexKalmanFilter (class in pyoed.assimilation.filtering.complex_kalman) ConventionalComplexKalmanFilterConfigs (class in pyoed.assimilation.filtering.complex_kalman) converged (BinaryReinforceOptimizerResults attribute) (GreedyBinaryOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) copy() (BinaryState method) (FlipAction method) (ObservationOperator method) covariance (GaussianProposal property) covariance_diagonal() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) covariance_inv_matvec() (DolfinBiLaplacianErrorModel method) (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) covariance_logdet() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) covariance_matrix() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) covariance_matrix_inv_matvec() (GaussianMixtureModelProposal method) (GaussianProposal method) covariance_matrix_matvec() (GaussianMixtureModelProposal method) (GaussianProposal method) covariance_matrix_sqrt_matvec() (GaussianMixtureModelProposal method) (GaussianProposal method) covariance_matvec() (DolfinBiLaplacianErrorModel method) (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method)

covariance_sqrt_inv_matvec() (DolfinGaussianErrorModel method) (GaussianErrorModel method) covariance_sqrt_matvec() (DolfinBiLaplacianErrorModel method) (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) covariance_trace() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) covariances (GaussianMixtureModelProposal property) coverage_probability() (ConditionalBernoulli method) (GeneralizedConditionalBernoulli method) create_AD_1D_model() (in module pyoed.models.simulation_models.advection_diffusion) create_AD_2D_model() (in module pyoed.models.simulation_models.advection_diffusion) create_AD_3D_model() (in module pyoed.models.simulation_models.advection_diffusion) create_AdvectionDiffusion2D_model() (in module pyoed.models.simulation_models.fenics_models.advection_diffusion) create_BiLaplacian_error_model() (in module pyoed.models.error_models.Laplacian) create_binary_oed_problem() (in module pyoed.examples.starters.toy_linear) create_BraggPtychography_model() (in module pyoed.models.simulation_models.imaging) create_Burgers_1D_model() (in module pyoed.models.simulation_models.bateman_burgers) create_Burgers_2D_model() (in module pyoed.models.simulation_models.bateman_burgers) create_CDI_model() (in module pyoed.models.simulation_models.imaging) create_complex_covariance_matrices() (in module pyoed.utility.stats) create_covariance_matrix() (in module pyoed.utility.stats) create_dolfin_observation_operator() (in module pyoed.examples.oed.relaxed_oed) create_DolfinPointWise_observation_operator() (in module pyoed.models.observation_operators.fenics_observation_operators) create_Exponential_observation_operator() (in module pyoed.models.observation_operators.power) create_Exponential_proposal() (in module pyoed.stats.sampling.proposals) create_FourierPtychography_model() (in module pyoed.models.simulation_models.imaging) create_Gaussian_proposal() (in module pyoed.stats.sampling.proposals) create_GaussianErrorModel() (in module pyoed.models.error_models.Gaussian.Gaussian) create_GaussianMixtureModel_proposal() (in module pyoed.stats.sampling.proposals) create_hmc_sampler() (in module pyoed.stats.sampling.mcmc) create_Identity_observation_operator() (in module pyoed.models.observation_operators.identity) create_initial_condition() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method), [1] (Burgers1D method) (Burgers2D method) (Lorenz63 method) (Lorenz96 method) (Subsurf2D method) (ToyLinearTimeDependent method) create_Laplacian_error_model() (in module pyoed.models.error_models.Laplacian) create_linear_inverse_problem() (in module pyoed.examples.starters.toy_linear) create_Lorenz63_model() (in module pyoed.models.simulation_models.lorenz) create_Lorenz96_model() (in module pyoed.models.simulation_models.lorenz) create_mcmc_sampler() (in module pyoed.stats.sampling.mcmc) create_model() (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) create_noise_vector() (DolfinBiLaplacianErrorModel method) (DolfinLaplacianErrorModel method) create_nonlinear_inverse_problem() (in module pyoed.examples.starters.toy_nonlinear) create_oed_problem() (in module pyoed.examples.starters.toy_nonlinear) create_optimizer() (in module pyoed.optimization.core.optimizers) create_penalty_function() (in module pyoed.examples.oed.relaxed_oed) (in module pyoed.examples.oed.robust_oed.robust_oed) create_pointwise_observation_operator() (in module pyoed.models.observation_operators.fenics_observation_operators) create_PointwiseWeightedGaussianErrorModel() (in module pyoed.models.error_models.Gaussian.Gaussian) create_posterior_log_density() (in module pyoed.examples.starters.toy_nonlinear) create_posterior_log_density_gradient() (in module pyoed.examples.starters.toy_nonlinear) create_Power_observation_operator() (in module pyoed.models.observation_operators.power) create_PrePostWeightedGaussianErrorModel() (in module pyoed.models.error_models.Gaussian.Gaussian) create_problem_from_settings() (in module pyoed.examples.oed.robust_oed.robust_oed) create_radon_forward_operator() (Tomography method) create_rejection_sampler() (in module pyoed.stats.sampling.rejection) create_relaxed_oed_problem() (in module pyoed.examples.starters.toy_linear) create_sensor_placement_binary_oed_problem() (in module pyoed.oed.sensor_placement.sensor_placement_bayesian_oed) create_stochastic_optimizer() (RobustBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) create_Subsurf2D_model() (in module pyoed.models.simulation_models.fenics_models.subsurf) create_time_dependent_linear_model() (in module pyoed.models.simulation_models.toy_linear) create_time_independent_linear_model() (in module pyoed.models.simulation_models.toy_linear) create_TimeIndependentBlackBox_model() (in module pyoed.models.simulation_models.black_box) create_Tomography_model() (in module pyoed.models.simulation_models.imaging) create_toy_linear_time_dependent_binary_OED_problem() (in module pyoed.examples.starters.creators) create_toy_linear_time_dependent_inverse_problem() (in module pyoed.examples.starters.creators) create_toy_linear_time_dependent_relaxed_OED_problem() (in module pyoed.examples.starters.creators) create_toy_linear_time_independent_binary_OED_problem() (in module pyoed.examples.starters.creators) create_toy_linear_time_independent_inverse_problem() (in module pyoed.examples.starters.creators) create_toy_linear_time_independent_relaxed_OED_problem() (in module pyoed.examples.starters.creators) create_toy_nonlinear_time_dependent_binary_OED_problem() (in module pyoed.examples.starters.creators) create_toy_nonlinear_time_dependent_inverse_problem() (in module pyoed.examples.starters.creators) create_toy_nonlinear_time_dependent_relaxed_OED_problem() (in module pyoed.examples.starters.creators) create_toy_nonlinear_time_independent_binary_OED_problem() (in module pyoed.examples.starters.creators) create_toy_nonlinear_time_independent_inverse_problem() (in module pyoed.examples.starters.creators) create_toy_nonlinear_time_independent_relaxed_OED_problem() (in module pyoed.examples.starters.creators) create_toy_quark_inverse_problem() (in module pyoed.examples.starters.toy_quark) create_ToyLinearTimeDependent_model() (in module pyoed.models.simulation_models.toy_linear) create_ToyLinearTimeIndependent_model() (in module pyoed.models.simulation_models.toy_linear) create_ToyQuark_model() (in module pyoed.models.simulation_models.toy_quark) create_vector() (DolfinBiLaplacianErrorModel method) (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) Criterion (class in pyoed.oed.core) (class in pyoed.oed.core.utility_functions) criterion (OEDConfigs attribute) CriterionConfigs (class in pyoed.oed.core) (class in pyoed.oed.core.utility_functions) cx (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute) cy (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute)

D

data_dictionary() (OEDResults method) (SLOEDResults method) data_misfit_only (NystromRandomizedHessian property) (SVDReducedHessian property) data_to_dataclass() (PyOEDContainer class method) debug (PyOEDConfigs attribute) (PyOEDObject property) DEBUG (SETTINGS attribute) decay_step (BinaryReinforceOptimizerConfigs attribute) def_stepsize (BinaryReinforceOptimizerConfigs attribute) default_configurations (PyOEDObject property) delta (DolfinLaplacianErrorModelConfigs attribute) design (ArrayOperator property) (CartesianInterpolator property) (DolfinGaussianErrorModel property) (DolfinLaplacianErrorModel property) (DolfinPointWise property) (ErrorModel property) (Exponential property) (GaussianErrorModel property) (GaussianErrorModelConfigs attribute) (Identity property) (Linearization attribute) (OED property) (OEDConfigs attribute) (Power property) (SelectionOperator property) design_manager() (OED method) design_size (InversionOED property) (OED property) design_weighting_scheme (PrePostWeightedGaussianErrorModel property) (PrePostWeightedGaussianErrorModelConfigs attribute) deterministic_optimization_routine (RobustBinaryReinforceOptimizerConfigs attribute) diagnostic_statistics() (RejectionSampler method) distribution (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute)

Distribution (class in pyoed.stats.core.distributions) DistributionConfigs (class in pyoed.stats.core.distributions) DolfinBiLaplacianErrorModel (class in pyoed.models.error_models.Laplacian) DolfinBiLaplacianErrorModelConfigs (class in pyoed.models.error_models.Laplacian) DolfinGaussianErrorModel (class in pyoed.models.error_models.Gaussian._fenics_Gaussian) DolfinGaussianErrorModelConfigs (class in pyoed.models.error_models.Gaussian._fenics_Gaussian) DolfinLaplacianErrorModel (class in pyoed.models.error_models.Laplacian) DolfinLaplacianErrorModelConfigs (class in pyoed.models.error_models.Laplacian) DolfinLinearPredictionOperator (class in pyoed.assimilation.goal_oriented.prediction_operators.fenics_prediction_operators) DolfinLinearPredictionOperatorConfigs (class in pyoed.assimilation.goal_oriented.prediction_operators.fenics_prediction_operators) DolfinPointWise (class in pyoed.models.observation_operators.fenics_observation_operators) DolfinPointWiseConfigs (class in pyoed.models.observation_operators.fenics_observation_operators) DolfinPointWiseObservations (in module pyoed.models.observation_operators.fenics_observation_operators) DolfinThreeDVar (class in pyoed.assimilation.filtering.threeDVar) domain (AdvectionDiffusion1D property) (AdvectionDiffusion1DConfigs attribute) (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute) (Burgers1D property) (Burgers1DConfigs attribute) (Burgers2D property) (Burgers2DConfigs attribute) draw_curly_brace() (in module pyoed.utility.plot) dt (AdvectionDiffusion1D property) (AdvectionDiffusion1DConfigs attribute) (AdvectionDiffusion2D property), [1] (AdvectionDiffusion2DConfigs attribute), [1] (Burgers1D property) (Burgers1DConfigs attribute) (Burgers2D property) (Burgers2DConfigs attribute) (Lorenz63 property) (Lorenz63Configs attribute) (Lorenz96 property) (Lorenz96Configs attribute) (ToyLinearTimeDependent property) (ToyLinearTimeDependentConfigs attribute)

E

enumerate_binary() (in module pyoed.utility.math) ErrorModel (class in pyoed.models.core.error_models) ErrorModelConfigs (class in pyoed.models.core.error_models) evaluate() (AlternatingSignOptimizationFunction method) (BayesianInversionAOpt method) (BayesianInversionDOpt method) (BayesianInversionEIG method) (BayesianInversionKLDivergenceGaussian method) (Criterion method), [1] (FacilityFunction method) (IsolatedBinaryOptimizationFunction method) (RFunction method) (RobustBayesianInversionAOpt method) (RobustBayesianInversionDOpt method) (SupportsRobustOptimization method) (TestFunction method) (WeightedAlternatingSignOptimizationFunction method) evaluate_batch_grad_log_pmf() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) evaluate_by_recursion() (RFunction method) evaluate_by_tabulation() (RFunction method) evaluate_grad_log_pmf() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) evaluate_grad_pmf() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) evaluate_nmc_estimator() (BayesianInversionEIG method) evaluate_pmf() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) evaluate_second_order_sensitivities() (Subsurf2D method) evaluation_method (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionEIG property) (BayesianInversionEIGConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute)

EvaluationMethod (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.bayesian_a_opt) (class in pyoed.oed.utility_functions.information_criteria.eig) (class in pyoed.oed.utility_functions.information_criteria.kl_divergence) EXACT (EvaluationMethod attribute), [1] exact_solution() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method) (Burgers1D method) (Burgers2D method) exchange_loops (FederovExchangeOptimizer property) (FederovExchangeOptimizerConfigs attribute) exhaustive_parameter_search() (RobustBinaryReinforceOptimizer method) expect() (Bernoulli method) (ConditionalBernoulli method) (GeneralizedConditionalBernoulli method) (PoissonBinomial method) Exponential (class in pyoed.models.observation_operators.power) ExponentialConfigs (class in pyoed.models.observation_operators.power) ExponentialProposal (class in pyoed.stats.sampling.proposals) ExponentialProposalConfigs (class in pyoed.stats.sampling.proposals) extended_design (ArrayOperator property) (CartesianInterpolator property) (DolfinGaussianErrorModel property) (DolfinLaplacianErrorModel property) (DolfinPointWise property) (ErrorModel property) (Exponential property) (GaussianErrorModel property) (Identity property) (Power property) (SelectionOperator property) extract_unknown_keys() (in module pyoed.configs.configs)

F

F (Lorenz96 property) (Lorenz96Configs attribute) FacilityFunction (class in pyoed.optimization.test_functions.binary_test_functions) factorize_covariances() (in module pyoed.utility.stats) factorize_spsd_matrix() (in module pyoed.utility.math) FederovExchangeIntermediateResults (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) FederovExchangeOptimizer (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) FederovExchangeOptimizerConfigs (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) FederovExchangeOptimizerResults (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) file_output_iter (OptimizerConfigs attribute) (SimulationModelConfigs attribute) (TimeIndependentModelConfigs attribute) Filter (class in pyoed.assimilation.core.assimilation) FilterConfigs (class in pyoed.assimilation.core.assimilation) FilterResults (class in pyoed.assimilation.core.assimilation) find_observation_time() (Smoother method) finite_differences_gradient() (in module pyoed.utility.math) FlipAction (class in pyoed.ml.reinforcement_learning) forecast() (AugmentedComplexKalmanFilter method) (ConventionalComplexKalmanFilter method) (KalmanFilter method) FORMULATION_APPROACH (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.relaxed_bayesian_a_opt) formulation_approach (RelaxedBayesianInversionAOpt property) (RelaxedBayesianInversionAOptConfigs attribute) (RelaxedBayesianInversionDOpt property) (RelaxedBayesianInversionDOptConfigs attribute) (SupportsRelaxedOptimization property)

fourDVar_AD_1d() (in module pyoed.examples.assimilation.fourDVar) fourDVar_AD_2d() (in module pyoed.examples.assimilation.fourDVar) fourDVar_Brg_1d() (in module pyoed.examples.assimilation.fourDVar) fourDVar_Brg_2d() (in module pyoed.examples.assimilation.fourDVar) fourDVar_Dolfin_AD_2d() (in module pyoed.examples.assimilation.fourDVar) fourDVar_Lorenz_63() (in module pyoed.examples.assimilation.fourDVar) fourDVar_Lorenz_96() (in module pyoed.examples.assimilation.fourDVar) FourierPtychography (class in pyoed.models.simulation_models.imaging) full_Hessian() (VanillaFourDVar method) (VanillaThreeDVar method) full_Hessian_estimate() (BinaryReinforceOptimizer method) (RobustBinaryReinforceOptimizer method) full_Hessian_inv() (VanillaFourDVar method) fun (BinaryReinforceOptimizerConfigs attribute) (BinaryReinforceOptimizerResults property) (FederovExchangeOptimizerConfigs attribute) (GreedyBinaryOptimizerConfigs attribute) (GreedyBinaryOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerConfigs attribute) (ScipyOptimizerResults property) fun_grad_design (RobustBinaryReinforceOptimizerConfigs attribute) fun_grad_parameter (RobustBinaryReinforceOptimizerConfigs attribute)

G

gamma (DolfinLaplacianErrorModelConfigs attribute) GaussianCovarianceMatrix (class in pyoed.stats.sampling.proposals) GaussianErrorModel (class in pyoed.models.error_models.Gaussian._Gaussian) GaussianErrorModelConfigs (class in pyoed.models.error_models.Gaussian._Gaussian) GaussianMixtureModelProposal (class in pyoed.stats.sampling.proposals) GaussianMixtureModelProposalConfigs (class in pyoed.stats.sampling.proposals) GaussianPosterior (class in pyoed.assimilation.core.assimilation) GaussianPosteriorConfigs (class in pyoed.assimilation.core.assimilation) GaussianProposal (class in pyoed.stats.sampling.proposals) GaussianProposalConfigs (class in pyoed.stats.sampling.proposals) GeneralizedConditionalBernoulli (class in pyoed.stats.distributions.conditional_bernoulli) GeneralizedConditionalBernoulliConfigs (class in pyoed.stats.distributions.conditional_bernoulli) generate_design_sample() (RobustBinaryReinforceOptimizer method) generate_noise() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (ErrorModel method) (GaussianErrorModel method) generate_sample() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) generate_uncertain_parameter_sample() (RobustBinaryReinforceOptimizer method) generate_uniform_random_sample() (BinaryReinforceOptimizer method) generate_vector() (DolfinLinearPredictionOperator method) (GoalOrientedOperator method), [1] generate_white_noise() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) (GaussianMixtureModelProposal method) (GaussianProposal method) (HMCSampler method) (MCMCSampler method) get_base_output_dir() (in module pyoed.examples.oed.OED_AD_FE) (in module pyoed.examples.oed.relaxed_oed) (in module pyoed.examples.oed.robust_oed.robust_oed) (in module pyoed.examples.oed.stochastic_binary_oed) (in module pyoed.examples.starters.toy_linear) (in module pyoed.examples.starters.toy_quark) (in module pyoed.examples.stats.sampling) get_configurations_class() (PyOEDObject class method) get_default_configurations() (PyOEDObject class method) get_feasible_budgets() (ConstrainedBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) get_list_of_files() (in module pyoed.utility.misc) get_list_of_subdirectories() (in module pyoed.utility.misc) get_model_array() (Tomography method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) get_model_grid() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method), [1] (Burgers1D method) (Burgers2D method) (Lorenz63 method) (Lorenz96 method) (SimulationModel method) (Subsurf2D method) (Tomography method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) (ToyQuark method)

get_observation_grid() (ArrayOperator method) (CartesianInterpolator method) (DolfinPointWise method) (Exponential method) (Identity method) (Power method) (SelectionOperator method) global_maxima (AlternatingSignOptimizationFunction property) (IsolatedBinaryOptimizationFunction property) (WeightedAlternatingSignOptimizationFunction property) global_maxima() (TestFunction method) global_minima (AlternatingSignOptimizationFunction property) (IsolatedBinaryOptimizationFunction property) (WeightedAlternatingSignOptimizationFunction property) global_minima() (TestFunction method) gls_stab (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute) goal_operator (GoalOrientedInverseProblem property), [1] (GoalOrientedInverseProblemConfigs attribute), [1] goal_oriented_fourDVar_Dolfin_AD_2d() (in module pyoed.examples.assimilation.goal_oriented_fourDVar) GoalOrientedInverseProblem (class in pyoed.assimilation.core.goal_oriented), [1] GoalOrientedInverseProblemConfigs (class in pyoed.assimilation.core.goal_oriented), [1] GoalOrientedLinearInverseProblem (class in pyoed.assimilation.goal_oriented.linear_inverse_problem) GoalOrientedLinearInverseProblemConfigs (class in pyoed.assimilation.goal_oriented.linear_inverse_problem) GoalOrientedOperator (class in pyoed.assimilation.core.goal_oriented), [1] GoalOrientedOperatorConfigs (class in pyoed.assimilation.core.goal_oriented), [1] grad_design() (RelaxedBayesianInversionAOpt method) (RelaxedBayesianInversionDOpt method) (SupportsRelaxedOptimization method) grad_log_pmf() (Bernoulli method) (ConditionalBernoulli method) (GeneralizedConditionalBernoulli method) (PoissonBinomial method) grad_pmf() (Bernoulli method) (ConditionalBernoulli method) (GeneralizedConditionalBernoulli method) (PoissonBinomial method) grad_sum_log_pmf() (ConditionalBernoulli method) grad_sum_pmf() (ConditionalBernoulli method) grad_uncertainty() (RobustBayesianInversionAOpt method) (RobustBayesianInversionDOpt method) (SupportsRobustOptimization method) gradient() (RFunction method) gradient_by_recursion() (RFunction method) gradient_by_tabulation() (RFunction method) GreedyBinaryIntermediateResults (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) GreedyBinaryOptimizer (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) GreedyBinaryOptimizerConfigs (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) GreedyBinaryOptimizerResults (class in pyoed.optimization.binary_optimization.greedy_binary_optimization) gridpoint_to_index() (in module pyoed.utility.misc) group_by_num_active() (in module pyoed.utility.math)

H

heatmap() (in module pyoed.examples.starters.toy_quark) hess (BinaryReinforceOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerConfigs attribute) (ScipyOptimizerResults property) hess_inv (BinaryReinforceOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerResults property) Hessian_estimate_vector_prod() (BinaryReinforceOptimizer method) (RobustBinaryReinforceOptimizer method) Hessian_inv_matvec() (NystromRandomizedHessian method) (SVDReducedHessian method) (VanillaFourDVar method) (VanillaThreeDVar method)

Hessian_matvec() (DolfinThreeDVar method) (NystromRandomizedHessian method) (SVDReducedHessian method) (VanillaFourDVar method) (VanillaThreeDVar method) hessp (ScipyOptimizerConfigs attribute) HMCSampler (class in pyoed.stats.sampling.mcmc) HMCSamplerConfigs (class in pyoed.stats.sampling.mcmc) HybridFilter (class in pyoed.assimilation.core.filtering), [1] HybridFilterConfigs (class in pyoed.assimilation.core.filtering), [1] HybridFilterResults (class in pyoed.assimilation.core.filtering), [1] HybridSmoother (class in pyoed.assimilation.core.smoothing), [1] HybridSmootherConfigs (class in pyoed.assimilation.core.smoothing), [1] HybridSmootherResults (class in pyoed.assimilation.core.smoothing), [1] hyperparameters (Policy property)

I

ic (Lorenz63 property) (Lorenz63Configs attribute) Identity (class in pyoed.models.observation_operators.identity) IdentityConfigs (class in pyoed.models.observation_operators.identity) Imaging (class in pyoed.models.simulation_models.imaging) inclusion_probability() (ConditionalBernoulli method) index_from_binary_state() (Bernoulli method) (in module pyoed.utility.math) index_to_binary_state() (Bernoulli method) (in module pyoed.utility.math) initial_design (FederovExchangeOptimizer property) (FederovExchangeOptimizerConfigs attribute) initial_policy (BinaryReinforceOptimizerConfigs attribute) initialize() (NystromRandomizedHessian method) (ReducedHessian method) (SVDReducedHessian method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) initialize_state() (Agent method) inner_opt_maxiter (RobustBinaryReinforceOptimizerConfigs attribute) inner_optimization_results (RobustBinaryReinforceOptimizerResults attribute) inner_sample_size (BayesianInversionEIG property) (BayesianInversionEIGConfigs attribute) integrate_state() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method), [1] (Burgers1D method) (Burgers2D method) (Lorenz63 method) (Lorenz96 method) (TimeDependentModel method) (ToyLinearTimeDependent method) intermediate_results (FederovExchangeOptimizerResults attribute) (GreedyBinaryOptimizerResults attribute) inv_matvec() (NystromRandomizedHessian method) (SVDReducedHessian method) inverse (GaussianCovarianceMatrix attribute) (MassMatrix attribute) inverse_problem (GoalOrientedInverseProblem property), [1] (GoalOrientedInverseProblemConfigs attribute), [1] (GoalOrientedOperator property), [1] (GoalOrientedOperatorConfigs attribute), [1] (InverseProblemResults attribute) (InversionOED property) (InversionOEDConfigs attribute) (NystromRandomizedHessian property) (SVDReducedHessian property) inverse_problem_linearity_test() (in module pyoed.utility.math) InverseProblem (class in pyoed.assimilation.core.assimilation) InverseProblemConfigs (class in pyoed.assimilation.core.assimilation) InverseProblemResults (class in pyoed.assimilation.core.assimilation)

InversionCriterion (class in pyoed.oed.core) InversionCriterionConfigs (class in pyoed.oed.core) InversionOED (class in pyoed.oed.core) InversionOEDConfigs (class in pyoed.oed.core) InversionOEDResults (class in pyoed.oed.core) InversionUtility (in module pyoed.oed.core) InversionUtilityConfigs (in module pyoed.oed.core) invert_for (VanillaThreeDVar property) (VanillaThreeDVarConfigs attribute) invert_for_parameter (VanillaThreeDVar property) is_feasible() (ConstrainedBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) is_observation_vector() (ArrayOperator method) (CartesianInterpolator method) (DolfinPointWise method) (Exponential method) (Identity method) (ObservationOperator method) (Power method) (SelectionOperator method) is_parameter_vector() (AdvectionDiffusion2D method) (Subsurf2D method) (TimeIndependentBlackBox method) (TimeIndependentModel method) (Tomography method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) (ToyQuark method) is_state_vector() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method), [1] (Burgers1D method) (Burgers2D method) (Lorenz63 method) (Lorenz96 method) (Subsurf2D method) (TimeDependentModel method) (TimeIndependentBlackBox method) (TimeIndependentModel method) (Tomography method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) (ToyQuark method) is_valid_design() (OED method) isiterable() (in module pyoed.utility.misc) isnumber() (in module pyoed.utility.misc) IsolatedBinaryOptimizationFunction (class in pyoed.optimization.test_functions.binary_test_functions) isstring() (in module pyoed.utility.misc) items() (PyOEDContainer method) iteration (FederovExchangeIntermediateResults attribute) (GreedyBinaryIntermediateResults attribute)

J

jac (BinaryReinforceOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerConfigs attribute) (ScipyOptimizerResults property) Jacobian_T_matvec (TimeIndependentBlackBoxConfigs attribute) Jacobian_T_matvec() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method), [1] (ArrayOperator method) (Burgers1D method) (Burgers2D method) (CartesianInterpolator method) (DolfinPointWise method) (Exponential method) (Identity method) (Lorenz63 method) (Lorenz96 method) (ObservationOperator method) (Power method) (SelectionOperator method) (TimeDependentModel method) (TimeIndependentBlackBox method) (TimeIndependentModel method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) (ToyQuark method)

K

KalmanFilter (class in pyoed.assimilation.filtering.kalman) KalmanFilterConfigs (class in pyoed.assimilation.filtering.kalman)

kinetic_energy() (HMCSampler method) kl_divergence() (DolfinGaussianErrorModel method) (in module pyoed.models.error_models.Gaussian.Gaussian)

L

lanczos() (in module pyoed.utility.stats) laplace_importance_sampling (BayesianInversionEIG property) (BayesianInversionEIGConfigs attribute) LEAPFROG (VALID_INTEGRATORS attribute) LINEAR (LP_Behavior attribute) Linearization (class in pyoed.oed.core) linearization (InversionCriterion property) linearize_at (SVDReducedHessian property) load_results() (InverseProblemResults class method) (OEDResults class method) (SLOEDResults class method) log_density (HMCSamplerConfigs attribute) (MCMCSamplerConfigs attribute) (RejectionSamplerConfigs attribute) log_density() (DolfinGaussianErrorModel method) (ErrorModel method) (ExponentialProposal method) (GaussianErrorModel method) (GaussianMixtureModelProposal method) (GaussianProposal method) (HMCSampler method) (MCMCSampler method) (RejectionSampler method)

log_density_component() (GaussianMixtureModelProposal method) log_density_grad (HMCSamplerConfigs attribute) log_density_grad() (HMCSampler method) log_density_gradient() (DolfinGaussianErrorModel method) (ErrorModel method) (ExponentialProposal method) (GaussianErrorModel method) (GaussianProposal method) log_pmf() (Bernoulli method) (ConditionalBernoulli method) (GeneralizedConditionalBernoulli method) (PoissonBinomial method) logdet_estimator() (in module pyoed.utility.stats) lookup() (PyOEDContainer method) Lorenz63 (class in pyoed.models.simulation_models.lorenz) Lorenz63Configs (class in pyoed.models.simulation_models.lorenz) Lorenz96 (class in pyoed.models.simulation_models.lorenz) Lorenz96Configs (class in pyoed.models.simulation_models.lorenz) LP_Behavior (class in pyoed.oed.core) lp_behavior (InversionCriterion property) (InversionCriterionConfigs attribute)

M

main() (in module pyoed.examples.assimilation.fourDVar) (in module pyoed.examples.assimilation.goal_oriented_fourDVar) (in module pyoed.examples.assimilation.threeDVar) (in module pyoed.examples.oed.OED_AD_FE) (in module pyoed.examples.oed.relaxed_oed) (in module pyoed.examples.oed.stochastic_binary_oed) (in module pyoed.examples.starters.toy_linear) (in module pyoed.examples.starters.toy_nonlinear) (in module pyoed.examples.starters.toy_quark) (in module pyoed.examples.stats.sampling) MANUAL (LP_Behavior attribute) MAP (LP_Behavior attribute) map_estimate (SamplingResults attribute) map_estimate() (HMCSampler method) (MCMCSampler method) map_estimate_log_density (SamplingResults attribute) mass_matrix (HMCSampler property) (HMCSamplerConfigs attribute) mass_matrix_inv_matvec() (HMCSampler method) mass_matrix_matvec() (HMCSampler method) mass_matrix_sqrt_matvec() (HMCSampler method) MassMatrix (class in pyoed.stats.sampling.mcmc) matrix (GaussianCovarianceMatrix attribute) (MassMatrix attribute) matrix_diagonal() (in module pyoed.utility.math) matrix_logdet() (in module pyoed.utility.math) matrix_trace() (in module pyoed.utility.math) matrix_vecmult() (in module pyoed.utility.math) matvec() (NystromRandomizedHessian method) (ReducedHessian method) (SVDReducedHessian method) max_num_of_rejections (ConstrainedBinaryReinforceOptimizerConfigs attribute) max_sample_size (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute) maximize (BinaryReinforceOptimizerConfigs attribute) (FederovExchangeOptimizer property) (FederovExchangeOptimizerConfigs attribute) (GreedyBinaryOptimizerConfigs attribute) (ScipyOptimizerConfigs attribute) maxiter (BinaryReinforceOptimizerConfigs attribute) maxiter_reached (BinaryReinforceOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) maxmin (RobustBinaryReinforceOptimizerConfigs attribute) mcmc_chain_diagnostic_statistics() (HMCSampler method) (MCMCSampler method) mcmc_sample_banana_distribution() (in module pyoed.examples.stats.sampling) MCMCSampler (class in pyoed.stats.sampling.mcmc) MCMCSamplerConfigs (class in pyoed.stats.sampling.mcmc) mean (DolfinGaussianErrorModel property) (DolfinGaussianErrorModelConfigs attribute) (DolfinLaplacianErrorModel property) (DolfinLaplacianErrorModelConfigs attribute) (GaussianErrorModel property) (GaussianErrorModelConfigs attribute) (GaussianProposal property) (GaussianProposalConfigs attribute) means (GaussianMixtureModelProposal property) (GaussianMixtureModelProposalConfigs attribute) mesh_configs (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute) mesh_elements (Subsurf2D property) (Subsurf2DConfigs attribute) mesh_elements_degree (Subsurf2D property) (Subsurf2DConfigs attribute) message (BinaryReinforceOptimizerResults attribute) (FederovExchangeOptimizerResults attribute) (GreedyBinaryOptimizerResults attribute) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults attribute) (ScipyOptimizerResults property) method (CartesianInterpolatorConfigs attribute) (RFunction property) (RFunctionConfigs attribute) (ScipyOptimizerConfigs attribute) min_sample_size (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute) mix_in (HMCSampler property) (HMCSamplerConfigs attribute) (MCMCSampler property) (MCMCSamplerConfigs attribute) model (ArrayOperator property) (ArrayOperatorConfigs attribute) (DolfinPointWise property) (DolfinPointWiseConfigs attribute) (Exponential property) (ExponentialConfigs attribute) (Identity property) (IdentityConfigs attribute) (InverseProblem property) (InverseProblemConfigs attribute) (Power property) (PowerConfigs attribute) (SelectionOperator property) (SelectionOperatorConfigs attribute)

model_grid (CartesianInterpolatorConfigs attribute) (SimulationModel property) model_name (SimulationModelConfigs attribute) (TimeIndependentModelConfigs attribute) module pyoed.assimilation.assimilation_utils pyoed.assimilation.core.assimilation pyoed.assimilation.core.filtering, [1] pyoed.assimilation.core.goal_oriented, [1] pyoed.assimilation.core.smoothing, [1] pyoed.assimilation.extras.reduced_order_modeling pyoed.assimilation.filtering.complex_kalman pyoed.assimilation.filtering.kalman pyoed.assimilation.filtering.threeDVar pyoed.assimilation.goal_oriented.linear_inverse_problem pyoed.assimilation.goal_oriented.prediction_operators.fenics_prediction_operators pyoed.assimilation.smoothing.fourDVar pyoed.assimilation.smoothing.kalman pyoed.configs.configs pyoed.examples.assimilation.fourDVar pyoed.examples.assimilation.goal_oriented_fourDVar pyoed.examples.assimilation.threeDVar pyoed.examples.oed.OED_AD_FE pyoed.examples.oed.relaxed_oed pyoed.examples.oed.robust_oed.robust_oed pyoed.examples.oed.stochastic_binary_oed pyoed.examples.starters.creators pyoed.examples.starters.toy_linear pyoed.examples.starters.toy_nonlinear pyoed.examples.starters.toy_quark pyoed.examples.stats.sampling pyoed.ml.reinforcement_learning pyoed.models.core.error_models pyoed.models.core.observation_operators pyoed.models.core.simulation_models pyoed.models.error_models.Gaussian._fenics_Gaussian pyoed.models.error_models.Gaussian._Gaussian pyoed.models.error_models.Gaussian._weighted_Gaussian_pointwise pyoed.models.error_models.Gaussian._weighted_Gaussian_prepost pyoed.models.error_models.Gaussian.Gaussian pyoed.models.error_models.Laplacian pyoed.models.observation_operators.fenics_observation_operators pyoed.models.observation_operators.identity pyoed.models.observation_operators.interpolation pyoed.models.observation_operators.power pyoed.models.simulation_models.advection_diffusion pyoed.models.simulation_models.bateman_burgers pyoed.models.simulation_models.black_box pyoed.models.simulation_models.fenics_models.advection_diffusion pyoed.models.simulation_models.fenics_models.subsurf pyoed.models.simulation_models.imaging pyoed.models.simulation_models.lorenz pyoed.models.simulation_models.toy_linear pyoed.models.simulation_models.toy_quark pyoed.oed.common.successive_laplace_oed pyoed.oed.core pyoed.oed.core.utility_functions pyoed.oed.robust_oed.robust_oed pyoed.oed.robust_oed.uncertain_parameters pyoed.oed.sensor_placement.sensor_placement_bayesian_oed pyoed.oed.utility_functions.alphabetic_criteria.a_opt.bayesian_a_opt pyoed.oed.utility_functions.alphabetic_criteria.a_opt.relaxed_bayesian_a_opt pyoed.oed.utility_functions.alphabetic_criteria.a_opt.robust_bayesian_a_opt pyoed.oed.utility_functions.alphabetic_criteria.d_opt.bayesian_d_opt pyoed.oed.utility_functions.alphabetic_criteria.d_opt.relaxed_bayesian_d_opt pyoed.oed.utility_functions.alphabetic_criteria.d_opt.robust_bayesian_d_opt pyoed.oed.utility_functions.information_criteria.eig pyoed.oed.utility_functions.information_criteria.kl_divergence pyoed.optimization.binary_optimization.constrained_binary_optimization pyoed.optimization.binary_optimization.greedy_binary_optimization pyoed.optimization.binary_optimization.robust_binary_optimization pyoed.optimization.binary_optimization.robust_constrained_binary_optimization pyoed.optimization.binary_optimization.stochastic_binary_optimization pyoed.optimization.core.optimizers pyoed.optimization.core.test_functions pyoed.optimization.optimization_utils pyoed.optimization.scipy_optimization pyoed.optimization.test_functions.binary_test_functions pyoed.stats.core.distributions pyoed.stats.core.sampling pyoed.stats.distributions.bernoulli pyoed.stats.distributions.combinatorics pyoed.stats.distributions.conditional_bernoulli pyoed.stats.distributions.poisson_binomial pyoed.stats.sampling.mcmc pyoed.stats.sampling.proposals pyoed.stats.sampling.rejection pyoed.stats.stats_utils.pcw_functions pyoed.utility.math pyoed.utility.misc pyoed.utility.mixins pyoed.utility.plot pyoed.utility.stats monitor_iterations (BinaryReinforceOptimizerConfigs attribute) multi_solve() (BinaryReinforceOptimizer method)

N

n_angles (TomographyConfigs attribute) n_deg (BayesianInversionDOpt property) (BayesianInversionDOptConfigs attribute) (RelaxedBayesianInversionDOpt property) N_p (TimeIndependentBlackBox property) (TimeIndependentBlackBoxConfigs attribute) n_voxels (TomographyConfigs attribute) N_x (TimeIndependentBlackBox property) (TimeIndependentBlackBoxConfigs attribute) name (BayesianInversionEIGConfigs attribute) (DistributionConfigs attribute) (GoalOrientedInverseProblemConfigs attribute), [1] (GoalOrientedOperatorConfigs attribute), [1] (InverseProblemConfigs attribute) (OEDConfigs attribute) (OptimizerConfigs attribute) (RFunctionConfigs attribute) ncr() (in module pyoed.utility.math) Newton_step (BinaryReinforceOptimizerConfigs attribute) nfev (BinaryReinforceOptimizerResults property) (GreedyBinaryOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerResults property) nhev (BinaryReinforceOptimizerResults property) (GreedyBinaryOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerResults property) nit (BinaryReinforceOptimizerResults property) (GreedyBinaryOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerResults property) njev (BinaryReinforceOptimizerResults property) (GreedyBinaryOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerResults property) NMC (EvaluationMethod attribute) noise_size (DolfinLaplacianErrorModel property) np (ToyLinearTimeIndependent property) (ToyLinearTimeIndependentConfigs attribute)

Nq (ToyQuark property) (ToyQuarkConfigs attribute) nu (AdvectionDiffusion1D property) (AdvectionDiffusion1DConfigs attribute) (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute) (Burgers1D property) (Burgers1DConfigs attribute) (Burgers2D property) (Burgers2DConfigs attribute) num_components (GaussianMixtureModelProposal property) (GaussianMixtureModelProposalConfigs attribute) num_decimals (ToyLinearTimeDependent property) (ToyLinearTimeDependentConfigs attribute) (ToyLinearTimeIndependent property) (ToyLinearTimeIndependentConfigs attribute) num_prognostic_variables (TimeDependentModelConfigs attribute) num_resets (BinaryReinforceOptimizerConfigs attribute) (BinaryReinforceOptimizerResults attribute) number_of_forward_solves (InversionOED property) nx (AdvectionDiffusion1D property) (AdvectionDiffusion1DConfigs attribute) (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute) (Burgers1D property) (Burgers1DConfigs attribute) (Burgers2D property) (Burgers2DConfigs attribute) (Lorenz96 property) (Lorenz96Configs attribute) (Subsurf2D property) (Subsurf2DConfigs attribute) (ToyLinearTimeDependent property) (ToyLinearTimeDependentConfigs attribute) (ToyLinearTimeIndependent property) (ToyLinearTimeIndependentConfigs attribute) ny (AdvectionDiffusion2D property) (AdvectionDiffusion2DConfigs attribute) (Burgers2D property) (Burgers2DConfigs attribute) (Subsurf2D property) (Subsurf2DConfigs attribute) NystromRandomizedHessian (class in pyoed.assimilation.extras.reduced_order_modeling)

O

objective() (VariationalFilter method), [1] (VariationalSmoother method), [1] objective_function_grad_design() (RobustBinaryReinforceOptimizer method) (RobustSensorPlacementBayesianInversionOED method) (SensorPlacementBayesianInversionOED method) objective_function_grad_parameter() (RobustBinaryReinforceOptimizer method) (RobustSensorPlacementBayesianInversionOED method) objective_function_gradient() (DolfinThreeDVar method) (ScipyOptimizer method) (SensorPlacementBayesianInversionOED method) (VanillaFourDVar method) (VanillaThreeDVar method) (VariationalFilter method), [1] (VariationalSmoother method), [1] objective_function_offset (RobustSensorPlacementBayesianInversionOED property) (SensorPlacementBayesianInversionOED property) objective_function_sample_min() (RobustBinaryReinforceOptimizer method) objective_function_sample_min_grad_design() (RobustBinaryReinforceOptimizer method) objective_function_scaling_factor (RobustSensorPlacementBayesianInversionOED property) (SensorPlacementBayesianInversionOED property) objective_function_value() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) (FederovExchangeOptimizer method) (GreedyBinaryOptimizer method) (InversionOED method) (OED method) (RobustBinaryReinforceOptimizer method) (RobustSensorPlacementBayesianInversionOED method) (ScipyOptimizer method) (SensorPlacementBayesianInversionOED method) (VanillaFourDVar method) (VanillaThreeDVar method) (VariationalFilter method), [1] (VariationalSmoother method), [1] objective_value_tracker (BinaryReinforceOptimizer property) (BinaryReinforceOptimizerConfigs attribute) (BinaryReinforceOptimizerResults attribute) (FederovExchangeOptimizer property) (FederovExchangeOptimizerConfigs attribute) (FederovExchangeOptimizerResults attribute) (GreedyBinaryOptimizer property) (GreedyBinaryOptimizerConfigs attribute) (GreedyBinaryOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) obs_array (ArrayOperatorConfigs attribute) observation_error_model (InverseProblem property) (InverseProblemConfigs attribute) observation_grid (CartesianInterpolatorConfigs attribute) observation_indexes (SelectionOperatorConfigs attribute) observation_operator (InverseProblem property) (InverseProblemConfigs attribute) observation_size (ObservationOperator property) observation_times (Smoother property) observation_vector() (ArrayOperator method) (CartesianInterpolator method) (DolfinPointWise method) (Exponential method) (Identity method) (ObservationOperator method) (Power method) (SelectionOperator method) ObservationOperator (class in pyoed.models.core.observation_operators) ObservationOperatorConfigs (class in pyoed.models.core.observation_operators) observations (InverseProblem property) (InverseProblemConfigs attribute)

OED (class in pyoed.oed.core) oed_criterion (OED property) oed_objective() (OED method) oed_problem (InversionCriterion property) (InversionCriterionConfigs attribute) (OEDResults attribute) (SuccessiveLaplaceOED property) (SuccessiveLaplaceOEDConfigs attribute) OED_Results_iterates (SLOEDResults property) OEDConfigs (class in pyoed.oed.core) OEDResults (class in pyoed.oed.core) optimal_baseline_batch_size (BinaryReinforceOptimizerConfigs attribute) optimal_baseline_estimate() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) (RobustBinaryReinforceOptimizer method) optimal_design (BinaryReinforceOptimizerResults attribute) (FederovExchangeOptimizerResults attribute) (GreedyBinaryOptimizerResults attribute) (OEDResults property) (RobustBinaryReinforceOptimizerResults attribute) optimal_design_objval (BinaryReinforceOptimizerResults attribute) (FederovExchangeOptimizerResults attribute) (GreedyBinaryOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) optimal_policy (BinaryReinforceOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) optimal_policy_sample (BinaryReinforceOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) optimal_policy_sample_objval (BinaryReinforceOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) optimal_sample_size (BinaryReinforceOptimizerConfigs attribute) optimal_uncertain_parameter (RobustBinaryReinforceOptimizerResults attribute) optimization_results (InverseProblemResults attribute) (OEDResults attribute) (ScipyOptimizerResults attribute) optimization_trajectory (BinaryReinforceOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) (ScipyOptimizerResults attribute) optimization_trajectory_best_sample (BinaryReinforceOptimizerResults attribute) optimization_trajectory_best_sample_objval (BinaryReinforceOptimizerResults attribute) optimization_trajectory_objval (RobustBinaryReinforceOptimizerResults attribute) (ScipyOptimizerResults attribute) optimization_trajectory_stoch_objval (BinaryReinforceOptimizerResults attribute) (RobustBinaryReinforceOptimizerResults attribute) optimize_sample_size (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute) Optimizer (class in pyoed.optimization.core.optimizers) optimizer (InverseProblem property) (InverseProblemConfigs attribute) (OED property) (OEDConfigs attribute) (RejectionSampler property) optimizer_configs (InverseProblemConfigs attribute) (OEDConfigs attribute) OptimizerConfigs (class in pyoed.optimization.core.optimizers) OptimizerResults (class in pyoed.optimization.core.optimizers) options (ScipyOptimizerConfigs attribute) outer_opt_maxiter (RobustBinaryReinforceOptimizerConfigs attribute) outer_optimization_results (RobustBinaryReinforceOptimizerResults attribute) outer_sample_size (BayesianInversionEIG property) (BayesianInversionEIGConfigs attribute) output_dir (PyOEDConfigs attribute) OUTPUT_DIR (SETTINGS attribute) over_sampling (NystromRandomizedHessian property)

P

parameter (Bernoulli property) (BernoulliConfigs attribute) parameter_dof (AdvectionDiffusion2D property) (Subsurf2D property) parameter_size (SimulationModel property) parameter_vector() (AdvectionDiffusion2D method) (Subsurf2D method) (TimeIndependentBlackBox method) (TimeIndependentModel method) (Tomography method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) (ToyQuark method) path_is_accessible() (in module pyoed.utility.misc) pcw_scheme (RelaxedBayesianInversionAOpt property) (RelaxedBayesianInversionAOptConfigs attribute) (RelaxedBayesianInversionDOpt property) (RelaxedBayesianInversionDOptConfigs attribute) (SupportsRelaxedOptimization property) pdf() (DolfinGaussianErrorModel method) (ErrorModel method) (ExponentialProposal method) (GaussianErrorModel method) (GaussianMixtureModelProposal method) (GaussianProposal method) pdf_component() (GaussianMixtureModelProposal method) pdf_gradient() (DolfinGaussianErrorModel method) (ErrorModel method) (ExponentialProposal method) (GaussianErrorModel method) (GaussianProposal method) penalty_function (InversionOED property) (InversionOEDConfigs attribute) penalty_function_gradient (InversionOED property) (InversionOEDConfigs attribute) penalty_weight (InversionOED property) (InversionOEDConfigs attribute) pgtol (BinaryReinforceOptimizerConfigs attribute) plot() (Subsurf2D method) plot_AD_settings() (in module pyoed.examples.oed.robust_oed.robust_oed) plot_domain() (AdvectionDiffusion2D method) plot_objective_surfaces() (RobustBinaryReinforceOptimizer method) plot_results() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) (FederovExchangeOptimizer method) (GreedyBinaryOptimizer method) (InverseProblem method) (InversionOED method) (OED method) (RobustBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) (ScipyOptimizer method) (SLOEDResults method) plot_robust_oed_results() (in module pyoed.examples.oed.robust_oed.robust_oed) plot_robust_oed_results_2d_from_file() (in module pyoed.examples.oed.robust_oed.robust_oed) plot_sampling_results() (in module pyoed.utility.plot) plot_sensors() (in module pyoed.utility.plot) plot_state() (AdvectionDiffusion2D method) plot_velocity_field() (AdvectionDiffusion2D method) plots_enhancer() (in module pyoed.utility.plot) pmf() (Bernoulli method) (ConditionalBernoulli method) (GeneralizedConditionalBernoulli method) (PoissonBinomial method) point (Linearization attribute) POINTWISE_COVARIANCE_MULTIPLICATION (FORMULATION_APPROACH attribute) pointwise_weighting_kernel (PointwiseWeightedGaussianErrorModel property) (PointwiseWeightedGaussianErrorModelConfigs attribute) (RelaxedBayesianInversionAOpt property) (RelaxedBayesianInversionDOpt property) pointwise_weighting_kernel_grad (RelaxedBayesianInversionAOpt property) (RelaxedBayesianInversionDOpt property) PointwiseWeightedGaussianErrorModel (class in pyoed.models.error_models.Gaussian._weighted_Gaussian_pointwise) PointwiseWeightedGaussianErrorModelConfigs (class in pyoed.models.error_models.Gaussian._weighted_Gaussian_pointwise) poisson_binomial_model (ConditionalBernoulli property) PoissonBinomial (class in pyoed.stats.distributions.poisson_binomial) PoissonBinomialConfigs (class in pyoed.stats.distributions.poisson_binomial) policy (Agent property) Policy (class in pyoed.ml.reinforcement_learning) policy_gradient() (Agent method) posterior (InverseProblem property) posterior_covariance() (VanillaFourDVar method) (VanillaThreeDVar method) posterior_covariance_matrix() (in module pyoed.utility.stats) posterior_covariance_matvec() (GoalOrientedLinearInverseProblem method) potential_energy() (HMCSampler method) potential_energy_grad() (HMCSampler method) Power (class in pyoed.models.observation_operators.power) power (Power property) (PowerConfigs attribute) PowerConfigs (class in pyoed.models.observation_operators.power) PRE_POST_COVARIANCE_MULTIPLICATION (FORMULATION_APPROACH attribute) PRE_POST_PRECISION_MULTIPLICATION (FORMULATION_APPROACH attribute) precision_matrix() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) prediction_coordinates (DolfinLinearPredictionOperatorConfigs attribute) prediction_operator (DolfinLinearPredictionOperator property) prediction_time (DolfinLinearPredictionOperatorConfigs attribute) PrePostWeightedGaussianErrorModel (class in pyoed.models.error_models.Gaussian._weighted_Gaussian_prepost) PrePostWeightedGaussianErrorModelConfigs (class in pyoed.models.error_models.Gaussian._weighted_Gaussian_prepost) print_configs() (in module pyoed.utility.misc) prior (InverseProblem property) (InverseProblemConfigs attribute) PRIOR (LP_Behavior attribute) problem_is_linear (InversionOED property) (InversionOEDConfigs attribute) projected_gradient() (in module pyoed.optimization.optimization_utils) Proposal (class in pyoed.stats.core.sampling) proposal (MCMCSampler property) (MCMCSamplerConfigs attribute) (RejectionSampler property) (RejectionSamplerConfigs attribute) ProposalConfigs (class in pyoed.stats.core.sampling) proposals_repository (SamplingResults attribute) pseudo_random_binary_objective_function() (in module pyoed.optimization.optimization_utils) pyoed.assimilation.assimilation_utils module pyoed.assimilation.core.assimilation module pyoed.assimilation.core.filtering module, [1] pyoed.assimilation.core.goal_oriented module, [1] pyoed.assimilation.core.smoothing module, [1] pyoed.assimilation.extras.reduced_order_modeling module pyoed.assimilation.filtering.complex_kalman module pyoed.assimilation.filtering.kalman module pyoed.assimilation.filtering.threeDVar module pyoed.assimilation.goal_oriented.linear_inverse_problem module pyoed.assimilation.goal_oriented.prediction_operators.fenics_prediction_operators module pyoed.assimilation.smoothing.fourDVar module pyoed.assimilation.smoothing.kalman module pyoed.configs.configs module pyoed.examples.assimilation.fourDVar module pyoed.examples.assimilation.goal_oriented_fourDVar module pyoed.examples.assimilation.threeDVar module

pyoed.examples.oed.OED_AD_FE module pyoed.examples.oed.relaxed_oed module pyoed.examples.oed.robust_oed.robust_oed module pyoed.examples.oed.stochastic_binary_oed module pyoed.examples.starters.creators module pyoed.examples.starters.toy_linear module pyoed.examples.starters.toy_nonlinear module pyoed.examples.starters.toy_quark module pyoed.examples.stats.sampling module pyoed.ml.reinforcement_learning module pyoed.models.core.error_models module pyoed.models.core.observation_operators module pyoed.models.core.simulation_models module pyoed.models.error_models.Gaussian._fenics_Gaussian module pyoed.models.error_models.Gaussian._Gaussian module pyoed.models.error_models.Gaussian._weighted_Gaussian_pointwise module pyoed.models.error_models.Gaussian._weighted_Gaussian_prepost module pyoed.models.error_models.Gaussian.Gaussian module pyoed.models.error_models.Laplacian module pyoed.models.observation_operators.fenics_observation_operators module pyoed.models.observation_operators.identity module pyoed.models.observation_operators.interpolation module pyoed.models.observation_operators.power module pyoed.models.simulation_models.advection_diffusion module pyoed.models.simulation_models.bateman_burgers module pyoed.models.simulation_models.black_box module pyoed.models.simulation_models.fenics_models.advection_diffusion module pyoed.models.simulation_models.fenics_models.subsurf module pyoed.models.simulation_models.imaging module pyoed.models.simulation_models.lorenz module pyoed.models.simulation_models.toy_linear module pyoed.models.simulation_models.toy_quark module pyoed.oed.common.successive_laplace_oed module pyoed.oed.core module pyoed.oed.core.utility_functions module pyoed.oed.robust_oed.robust_oed module pyoed.oed.robust_oed.uncertain_parameters module pyoed.oed.sensor_placement.sensor_placement_bayesian_oed module pyoed.oed.utility_functions.alphabetic_criteria.a_opt.bayesian_a_opt module pyoed.oed.utility_functions.alphabetic_criteria.a_opt.relaxed_bayesian_a_opt module pyoed.oed.utility_functions.alphabetic_criteria.a_opt.robust_bayesian_a_opt module pyoed.oed.utility_functions.alphabetic_criteria.d_opt.bayesian_d_opt module pyoed.oed.utility_functions.alphabetic_criteria.d_opt.relaxed_bayesian_d_opt module pyoed.oed.utility_functions.alphabetic_criteria.d_opt.robust_bayesian_d_opt module pyoed.oed.utility_functions.information_criteria.eig module pyoed.oed.utility_functions.information_criteria.kl_divergence module pyoed.optimization.binary_optimization.constrained_binary_optimization module pyoed.optimization.binary_optimization.greedy_binary_optimization module pyoed.optimization.binary_optimization.robust_binary_optimization module pyoed.optimization.binary_optimization.robust_constrained_binary_optimization module pyoed.optimization.binary_optimization.stochastic_binary_optimization module pyoed.optimization.core.optimizers module pyoed.optimization.core.test_functions module pyoed.optimization.optimization_utils module pyoed.optimization.scipy_optimization module pyoed.optimization.test_functions.binary_test_functions module pyoed.stats.core.distributions module pyoed.stats.core.sampling module pyoed.stats.distributions.bernoulli module pyoed.stats.distributions.combinatorics module pyoed.stats.distributions.conditional_bernoulli module pyoed.stats.distributions.poisson_binomial module pyoed.stats.sampling.mcmc module pyoed.stats.sampling.proposals module pyoed.stats.sampling.rejection module pyoed.stats.stats_utils.pcw_functions module pyoed.utility.math module pyoed.utility.misc module pyoed.utility.mixins module pyoed.utility.plot module pyoed.utility.stats module PyOEDABCMeta (class in pyoed.configs.configs) PyOEDConfigs (class in pyoed.configs.configs) PyOEDConfigsValidationError PyOEDContainer (class in pyoed.configs.configs) PyOEDData (class in pyoed.configs.configs) PyOEDObject (class in pyoed.configs.configs) PyOEDRulesViolationError

Q

q_i() (ToyQuark method)

R

R_function (ConditionalBernoulli property) (PoissonBinomial property) R_function_evaluation_method (ConditionalBernoulliConfigs attribute) (PoissonBinomialConfigs attribute) random_number_generator (RandomNumberGenerationMixin property) random_seed (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionEIG property) (BayesianInversionEIGConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute) (BinaryReinforceOptimizerConfigs attribute) (DistributionConfigs attribute) (DolfinGaussianErrorModelConfigs attribute) (DolfinLaplacianErrorModelConfigs attribute) (ErrorModel property) (FederovExchangeOptimizerConfigs attribute) (GaussianErrorModelConfigs attribute) (GreedyBinaryOptimizerConfigs attribute) (RobustSensorPlacementBayesianInversionOEDConfigs attribute) (SamplerConfigs attribute) (SensorPlacementBayesianInversionOEDConfigs attribute) RANDOM_SEED (SETTINGS attribute) random_seed (Subsurf2DConfigs attribute) (ToyLinearTimeDependent property) (ToyLinearTimeDependentConfigs attribute) (ToyLinearTimeIndependent property) (ToyLinearTimeIndependentConfigs attribute) randomization_vectors (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute) RANDOMIZED (EvaluationMethod attribute), [1] RandomNumberGenerationMixin (class in pyoed.utility.mixins) rank_p (NystromRandomizedHessian property) (SVDReducedHessian property) real_to_complex_covariances() (in module pyoed.utility.stats) ReducedHessian (class in pyoed.assimilation.extras.reduced_order_modeling) register_budgets() (ConstrainedBinaryReinforceOptimizer method) (GeneralizedConditionalBernoulli method) (RobustConstrainedBinaryReinforceOptimizer method) register_formulation_approach() (RelaxedBayesianInversionAOpt method) (RelaxedBayesianInversionDOpt method) register_goal_operator() (GoalOrientedInverseProblem method), [1] register_inverse_problem() (GoalOrientedInverseProblem method), [1] (GoalOrientedOperator method), [1] register_model() (DolfinThreeDVar method) (Filter method) (InverseProblem method) (KalmanFilter method) (Smoother method) (VanillaFourDVar method) (VanillaThreeDVar method) register_observation() (Smoother method) register_observation_error_model() (Filter method) (InverseProblem method) (Smoother method) register_observation_operator() (Filter method) (InverseProblem method) (Smoother method) (VanillaFourDVar method) (VanillaThreeDVar method) register_observations() (Filter method) (InverseProblem method) (Smoother method) register_optimality_criterion() (OED method) (RobustSensorPlacementBayesianInversionOED method) (SensorPlacementBayesianInversionOED method)

register_optimizer() (InverseProblem method) (OED method) (RobustSensorPlacementBayesianInversionOED method) (SensorPlacementBayesianInversionOED method) (VanillaFourDVar method) (VanillaThreeDVar method) register_penalty_term() (InversionOED method) register_prior() (ConventionalComplexKalmanFilter method) (Filter method) (InverseProblem method) (KalmanFilter method) (Smoother method) (VanillaFourDVar method) (VanillaThreeDVar method) register_uncertain_parameter_sampler() (RobustSensorPlacementBayesianInversionOED method) register_window() (Smoother method) rejection_rate (ChainDiagnostics attribute) rejection_sample_banana_distribution() (in module pyoed.examples.stats.sampling) RejectionSampler (class in pyoed.stats.sampling.rejection) RejectionSamplerConfigs (class in pyoed.stats.sampling.rejection) relaxed_OED_Dolfin_AD_2d() (in module pyoed.examples.oed.relaxed_oed) relaxed_OED_time_dependent_toy_linear() (in module pyoed.examples.oed.relaxed_oed) RelaxedBayesianInversionAOpt (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.relaxed_bayesian_a_opt) RelaxedBayesianInversionAOptConfigs (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.relaxed_bayesian_a_opt) RelaxedBayesianInversionDOpt (class in pyoed.oed.utility_functions.alphabetic_criteria.d_opt.relaxed_bayesian_d_opt) RelaxedBayesianInversionDOptConfigs (class in pyoed.oed.utility_functions.alphabetic_criteria.d_opt.relaxed_bayesian_d_opt) remainder() (in module pyoed.utility.math) remove_unknown_keys() (in module pyoed.configs.configs) reset_at_iterations (BinaryReinforceOptimizerResults attribute) reset_budget_constraints() (ConstrainedBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) reset_initial_guess (RobustBinaryReinforceOptimizerConfigs attribute) reset_objective_value_tracker() (BinaryReinforceOptimizer method) (FederovExchangeOptimizer method) (GreedyBinaryOptimizer method) reward() (Agent method) RFunction (class in pyoed.stats.distributions.combinatorics) RFunctionConfigs (class in pyoed.stats.distributions.combinatorics) rho (Lorenz63 property) (Lorenz63Configs attribute) ridgeline() (in module pyoed.utility.plot) robust_OED_Dolfin_AD_2d() (in module pyoed.examples.oed.robust_oed.robust_oed) robust_oed_paper_main() (in module pyoed.examples.oed.robust_oed.robust_oed) robust_OED_time_dependent_toy_linear() (in module pyoed.examples.oed.robust_oed.robust_oed) RobustBayesianInversionAOpt (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.robust_bayesian_a_opt) RobustBayesianInversionAOptConfigs (class in pyoed.oed.utility_functions.alphabetic_criteria.a_opt.robust_bayesian_a_opt) RobustBayesianInversionDOpt (class in pyoed.oed.utility_functions.alphabetic_criteria.d_opt.robust_bayesian_d_opt) RobustBayesianInversionDOptConfigs (class in pyoed.oed.utility_functions.alphabetic_criteria.d_opt.robust_bayesian_d_opt) RobustBinaryReinforceOptimizer (class in pyoed.optimization.binary_optimization.robust_binary_optimization) RobustBinaryReinforceOptimizerConfigs (class in pyoed.optimization.binary_optimization.robust_binary_optimization) RobustBinaryReinforceOptimizerResults (class in pyoed.optimization.binary_optimization.robust_binary_optimization) RobustConstrainedBinaryReinforceOptimizer (class in pyoed.optimization.binary_optimization.robust_constrained_binary_optimization) RobustConstrainedBinaryReinforceOptimizerConfigs (class in pyoed.optimization.binary_optimization.robust_constrained_binary_optimization) RobustConstrainedBinaryReinforceOptimizerResults (class in pyoed.optimization.binary_optimization.robust_constrained_binary_optimization) RobustInversionOED (class in pyoed.oed.core) RobustInversionOEDConfigs (class in pyoed.oed.core) RobustInversionOEDResults (class in pyoed.oed.core) RobustOED (class in pyoed.oed.core) RobustOEDConfigs (class in pyoed.oed.core) RobustOEDResults (class in pyoed.oed.core) RobustSensorPlacementBayesianInversionOED (class in pyoed.oed.robust_oed.robust_oed) RobustSensorPlacementBayesianInversionOEDConfigs (class in pyoed.oed.robust_oed.robust_oed) RobustSensorPlacementBayesianInversionOEDResults (class in pyoed.oed.robust_oed.robust_oed) rsvd() (in module pyoed.utility.stats)

S

sample() (Bernoulli method) (ConditionalBernoulli method) (Distribution method) (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (ErrorModel method) (ExponentialProposal method) (GaussianErrorModel method) (GaussianMixtureModelProposal method) (GaussianProposal method) (GeneralizedConditionalBernoulli method) (HMCSampler method) (MCMCSampler method) (PoissonBinomial method) (RejectionSampler method) (Sampler method) sample_action() (BernoulliPolicy method) (Policy method) sample_banana_distribution() (in module pyoed.stats.sampling.mcmc) sample_binary_states() (in module pyoed.utility.math) sample_component() (GaussianMixtureModelProposal method) sample_posterior() (in module pyoed.examples.starters.toy_nonlinear) (in module pyoed.examples.starters.toy_quark) sample_Rademacher() (in module pyoed.utility.stats) sample_size (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) (BayesianInversionKLDivergenceGaussian property) (BayesianInversionKLDivergenceGaussianConfigs attribute) sample_standard_Normal() (in module pyoed.utility.stats) sample_trajectory() (Agent method) (BernoulliPolicy method) (Policy method) sampled_design_indexes (BinaryReinforceOptimizerResults attribute) Sampler (class in pyoed.stats.core.sampling) SamplerConfigs (class in pyoed.stats.core.sampling) SamplingResults (class in pyoed.stats.sampling.mcmc) scale (ExponentialProposal property) (ExponentialProposalConfigs attribute) scale_gradient() (BinaryReinforceOptimizer class method) scale_matrix (TomographyConfigs attribute) ScipyOptimizer (class in pyoed.optimization.scipy_optimization) ScipyOptimizerConfigs (class in pyoed.optimization.scipy_optimization) ScipyOptimizerResults (class in pyoed.optimization.scipy_optimization) screen_output_iter (OptimizerConfigs attribute) (SimulationModelConfigs attribute) (TimeIndependentModelConfigs attribute) SelectionOperator (class in pyoed.models.observation_operators.interpolation) SelectionOperatorConfigs (class in pyoed.models.observation_operators.interpolation) SensorPlacementBayesianInversionOED (class in pyoed.oed.sensor_placement.sensor_placement_bayesian_oed) SensorPlacementBayesianInversionOEDConfigs (class in pyoed.oed.sensor_placement.sensor_placement_bayesian_oed) SensorPlacementBayesianInversionOEDResults (class in pyoed.oed.sensor_placement.sensor_placement_bayesian_oed) SensorPlacementInversionOED (class in pyoed.oed.core) SensorPlacementInversionOEDConfigs (class in pyoed.oed.core) SensorPlacementInversionOEDResults (class in pyoed.oed.core) set_boundary_condition() (AdvectionDiffusion2D method) (Burgers2D method) set_configurations() (in module pyoed.configs.configs) set_uncertain_parameter() (RobustSensorPlacementBayesianInversionOED method) SETTINGS (class in pyoed.configs.configs) shape (ArrayOperator property) (CartesianInterpolator property) (DolfinPointWise property) (Exponential property) (Identity property) (Power property) (SelectionOperator property) show_axis_grids() (in module pyoed.utility.plot) show_registered_elements() (InverseProblem method) (Smoother method) (VanillaFourDVar method) (VanillaThreeDVar method) show_supported_optimizers() (RobustSensorPlacementBayesianInversionOED static method) (SensorPlacementBayesianInversionOED static method) show_supported_uncertain_parameters() (RobustSensorPlacementBayesianInversionOED static method) (SensorPlacementBayesianInversionOED static method) sigma (Lorenz63 property) (Lorenz63Configs attribute) sigma_bounds (BayesianInversionDOpt property) (BayesianInversionDOptConfigs attribute) (RelaxedBayesianInversionDOpt property) SimulationModel (class in pyoed.models.core.simulation_models) SimulationModelConfigs (class in pyoed.models.core.simulation_models) size (Action property) (Bernoulli property) (BinaryReinforceOptimizer property) (Distribution property) (DolfinGaussianErrorModel property) (DolfinLaplacianErrorModel property) (DolfinLinearPredictionOperator property) (ErrorModel property) (ExponentialProposal property) (ExponentialProposalConfigs attribute) (FederovExchangeOptimizer property) (FlipAction property) (GaussianErrorModel property) (GaussianErrorModelConfigs attribute) (GaussianMixtureModelProposal property) (GaussianMixtureModelProposalConfigs attribute) (GaussianProposal property) (GaussianProposalConfigs attribute) (GoalOrientedOperator property), [1] (GreedyBinaryOptimizer property) (HMCSampler property) (HMCSamplerConfigs attribute) (MCMCSampler property) (MCMCSamplerConfigs attribute) (OptimizerConfigs attribute) (RejectionSampler property) (RejectionSamplerConfigs attribute) (Sampler property) (ScipyOptimizer property) (State property) SLOEDResults (class in pyoed.oed.common.successive_laplace_oed) Smoother (class in pyoed.assimilation.core.assimilation) SmootherConfigs (class in pyoed.assimilation.core.assimilation) SmootherResults (class in pyoed.assimilation.core.assimilation) solve() (BinaryReinforceOptimizer method) (BinarySAAOptimizer method) (ConstrainedBinaryReinforceOptimizer method) (FederovExchangeOptimizer method) (GreedyBinaryOptimizer method) (InverseProblem method) (InversionOED method) (KalmanFilter method) (OED method) (Optimizer method) (RobustBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) (RobustSensorPlacementBayesianInversionOED method) (ScipyOptimizer method) (SensorPlacementBayesianInversionOED method) (SuccessiveLaplaceOED method) (VanillaFourDVar method) (VanillaThreeDVar method)

solve_adjoint() (Subsurf2D method) (TimeIndependentModel method) solve_adjoint_sub() (AdvectionDiffusion2D method) solve_by_relaxation (RobustBinaryReinforceOptimizerConfigs attribute) solve_forward (TimeIndependentBlackBoxConfigs attribute) solve_forward() (Subsurf2D method) (TimeIndependentBlackBox method) (TimeIndependentModel method) (Tomography method) (ToyLinearTimeIndependent method) (ToyQuark method) solve_forward_sub() (AdvectionDiffusion2D method) solve_incremental_adjoint() (Subsurf2D method) solve_incremental_forward() (Subsurf2D method) solve_inverse_problem() (InverseProblem method) (InversionOED method) solve_oed_problem() (OED method) space_discretization (TimeDependentModelConfigs attribute) sparse (GaussianErrorModel property) (GaussianErrorModelConfigs attribute) (GaussianMixtureModelProposal property) (GaussianMixtureModelProposalConfigs attribute) (GaussianProposal property) (GaussianProposalConfigs attribute) (HMCSamplerConfigs attribute) sqrt (GaussianCovarianceMatrix attribute) (MassMatrix attribute) standardize_configurations() (GaussianErrorModel method) (HMCSampler method) (PrePostWeightedGaussianErrorModel method) standardize_domain_bounds() (in module pyoed.optimization.optimization_utils) start_batch_rejection_sampling() (RejectionSampler method) start_MCMC_sampling() (HMCSampler method) (MCMCSampler method) start_rejection_sampling() (RejectionSampler method) State (class in pyoed.ml.reinforcement_learning) state (State property) state_dof (AdvectionDiffusion2D property) (Subsurf2D property) state_size (SimulationModel property) (SVDReducedHessian property) state_vector() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method), [1] (Burgers1D method) (Burgers2D method) (Lorenz63 method) (Lorenz96 method) (Subsurf2D method) (TimeDependentModel method) (TimeIndependentBlackBox method) (TimeIndependentModel method) (Tomography method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) (ToyQuark method) stdev (GaussianErrorModel property) (PointwiseWeightedGaussianErrorModel property) (PrePostWeightedGaussianErrorModel property) stdev_inv (GaussianErrorModel property) stdev_logdet (GaussianErrorModel property) stepsize_schedule() (in module pyoed.optimization.optimization_utils) stochastic_batch_size (GreedyBinaryOptimizer property) (GreedyBinaryOptimizerConfigs attribute) stochastic_binary_optimizer (RobustBinaryReinforceOptimizer property) stochastic_epsilon (GreedyBinaryOptimizer property) (GreedyBinaryOptimizerConfigs attribute) stochastic_gradient_sample_size (BinaryReinforceOptimizerConfigs attribute) stochastic_objective_estimate() (RobustBinaryReinforceOptimizer method) stochastic_objective_estimate_grad_parameter() (RobustBinaryReinforceOptimizer method) stochastic_objective_estimate_min() (RobustBinaryReinforceOptimizer method) stochastic_policy_objective_gradient() (BinaryReinforceOptimizer method) (RobustBinaryReinforceOptimizer method) stochastic_policy_objective_value() (BinaryReinforceOptimizer method) (RobustBinaryReinforceOptimizer method) Subsurf2D (class in pyoed.models.simulation_models.fenics_models.subsurf) Subsurf2DConfigs (class in pyoed.models.simulation_models.fenics_models.subsurf) success (BinaryReinforceOptimizerResults property) (GreedyBinaryOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerResults property) success_probability (Bernoulli property) SuccessiveLaplaceOED (class in pyoed.oed.common.successive_laplace_oed) SuccessiveLaplaceOEDConfigs (class in pyoed.oed.common.successive_laplace_oed) sum_log_pmf() (ConditionalBernoulli method) sum_pmf() (ConditionalBernoulli method) supported_optimizers (RobustSensorPlacementBayesianInversionOED property) (SensorPlacementBayesianInversionOED property) (VanillaFourDVar property) (VanillaThreeDVar property) supported_uncertain_parameter_samplers (RobustSensorPlacementBayesianInversionOED property) supported_uncertain_parameters (RobustSensorPlacementBayesianInversionOED property) supports_relaxation (ErrorModel property) SupportsRelaxedOptimization (class in pyoed.oed.core) SupportsRobustOptimization (class in pyoed.oed.core) SVDReducedHessian (class in pyoed.assimilation.extras.reduced_order_modeling) swap (FederovExchangeIntermediateResults attribute) symplectic_integrator (HMCSampler property) (HMCSamplerConfigs attribute) symplectic_integrator_num_steps (HMCSampler property) (HMCSamplerConfigs attribute) symplectic_integrator_stepsize (HMCSampler property) (HMCSamplerConfigs attribute)

T

t_eps (AdvectionDiffusion1D property) (AdvectionDiffusion1DConfigs attribute) (AdvectionDiffusion2D property), [1] (AdvectionDiffusion2DConfigs attribute), [1] (Burgers1D property) (Burgers1DConfigs attribute) (Burgers2D property) (Burgers2DConfigs attribute) (Lorenz63 property) (Lorenz63Configs attribute) (Lorenz96 property) (Lorenz96Configs attribute) (ToyLinearTimeDependent property) (ToyLinearTimeDependentConfigs attribute) target (SelectionOperatorConfigs attribute) targets (DolfinPointWise property) (DolfinPointWiseConfigs attribute) test_accuracy() (SVDReducedHessian method) TestFunction (class in pyoed.optimization.core.test_functions) theta (TomographyConfigs attribute) THREE_STAGE (VALID_INTEGRATORS attribute) threeDVar_subsurf() (in module pyoed.examples.assimilation.threeDVar) threeDVar_toy_linear() (in module pyoed.examples.assimilation.threeDVar) threshold_relaxed_design() (in module pyoed.utility.math) time_integration (TimeDependentModelConfigs attribute) TimeDependentModel (class in pyoed.models.core.simulation_models)

TimeDependentModelConfigs (class in pyoed.models.core.simulation_models) TimeIndependentBlackBox (class in pyoed.models.simulation_models.black_box) TimeIndependentBlackBoxConfigs (class in pyoed.models.simulation_models.black_box) TimeIndependentModel (class in pyoed.models.core.simulation_models) TimeIndependentModelConfigs (class in pyoed.models.core.simulation_models) tol (RobustBinaryReinforceOptimizerConfigs attribute) (ScipyOptimizerConfigs attribute) tolerance (FederovExchangeOptimizer property) (FederovExchangeOptimizerConfigs attribute) Tomography (class in pyoed.models.simulation_models.imaging) TomographyConfigs (class in pyoed.models.simulation_models.imaging) total_Hamiltonian() (HMCSampler method) ToyLinearTimeDependent (class in pyoed.models.simulation_models.toy_linear) ToyLinearTimeDependentConfigs (class in pyoed.models.simulation_models.toy_linear) ToyLinearTimeIndependent (class in pyoed.models.simulation_models.toy_linear) ToyLinearTimeIndependentConfigs (class in pyoed.models.simulation_models.toy_linear) ToyQuark (class in pyoed.models.simulation_models.toy_quark) ToyQuarkConfigs (class in pyoed.models.simulation_models.toy_quark) trace_estimator() (in module pyoed.utility.stats) train() (Agent method) trajectory (GreedyBinaryIntermediateResults attribute) trajectory_return() (Agent method) true_initial_condition (AdvectionDiffusion2D property) (Subsurf2D property) truncate() (in module pyoed.utility.math) try_file_name() (in module pyoed.utility.misc) TWO_STAGE (VALID_INTEGRATORS attribute)

U

uncertain_parameter (RobustSensorPlacementBayesianInversionOEDConfigs attribute) uncertain_parameter_bounds (RobustBinaryReinforceOptimizer property) (RobustBinaryReinforceOptimizerConfigs attribute) (RobustSensorPlacementBayesianInversionOED property) uncertain_parameter_initial_sample_size (RobustSensorPlacementBayesianInversionOEDConfigs attribute) uncertain_parameter_manager() (RobustSensorPlacementBayesianInversionOED method) uncertain_parameter_max_num_digits (RobustBinaryReinforceOptimizerConfigs attribute) uncertain_parameter_name (RobustSensorPlacementBayesianInversionOED property) uncertain_parameter_sample (RobustBinaryReinforceOptimizer property) (RobustBinaryReinforceOptimizerConfigs attribute) (RobustBinaryReinforceOptimizerResults attribute) uncertain_parameter_sampler (RobustSensorPlacementBayesianInversionOED property) (RobustSensorPlacementBayesianInversionOEDConfigs attribute) uncertain_parameter_sampler_configs (RobustSensorPlacementBayesianInversionOEDConfigs attribute) uncertain_parameter_size (RobustBinaryReinforceOptimizer property) (RobustBinaryReinforceOptimizerConfigs attribute) (RobustSensorPlacementBayesianInversionOED property) uniform_random_numbers (SamplingResults attribute) uniform_random_sample_indexes (BinaryReinforceOptimizerResults attribute) uniform_random_sample_objval (BinaryReinforceOptimizerResults attribute) uniform_random_sample_size (BinaryReinforceOptimizerConfigs attribute) unique_colors() (in module pyoed.utility.plot) unweighted_covariance_matrix() (GaussianErrorModel method) unweighted_precision_matrix() (GaussianErrorModel method) update() (BinaryState method) (PyOEDContainer method) update_bruteforce_results() (RobustBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) update_configurations() (BayesianInversionAOpt method) (BayesianInversionEIG method) (BayesianInversionKLDivergenceGaussian method) (Bernoulli method) (BinaryReinforceOptimizer method) (ConditionalBernoulli method) (ConstrainedBinaryReinforceOptimizer method) (Distribution method) (DolfinLinearPredictionOperator method) (ExponentialProposal method) (FederovExchangeOptimizer method) (GaussianErrorModel method) (GaussianMixtureModelProposal method) (GaussianProposal method) (GeneralizedConditionalBernoulli method) (GoalOrientedInverseProblem method), [1] (GoalOrientedOperator method), [1] (GreedyBinaryOptimizer method) (HMCSampler method) (InverseProblem method) (InversionCriterion method) (InversionOED method) (MCMCSampler method) (OED method) (PoissonBinomial method) (PrePostWeightedGaussianErrorModel method) (PyOEDObject method) (RejectionSampler method) (RelaxedBayesianInversionAOpt method) (RelaxedBayesianInversionDOpt method) (RobustBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) (RobustSensorPlacementBayesianInversionOED method) (Sampler method) (ScipyOptimizer method) (SensorPlacementBayesianInversionOED method) (VanillaFourDVar method) (VanillaThreeDVar method)

update_covariance_matrix() (DolfinBiLaplacianErrorModel method) (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) update_design() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) (OED method) (PrePostWeightedGaussianErrorModel method) (RobustSensorPlacementBayesianInversionOED method) (SensorPlacementBayesianInversionOED method) update_design_weighting_scheme() (PrePostWeightedGaussianErrorModel method) update_evaluation_method() (BayesianInversionAOpt method) (BayesianInversionEIG method) (BayesianInversionKLDivergenceGaussian method) update_linearization() (InversionCriterion method) update_mass_matrix() (HMCSampler method) update_mean() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) update_parameter() (Bernoulli method) update_policy_parameters() (BernoulliPolicy method) (Policy method) update_prediction_operator() (DolfinLinearPredictionOperator method) update_random_number_generator() (RandomNumberGenerationMixin method) update_random_number_generators() (BinaryReinforceOptimizer method) (ConstrainedBinaryReinforceOptimizer method) (MCMCSampler method) (RejectionSampler method) (RobustSensorPlacementBayesianInversionOED method) (SensorPlacementBayesianInversionOED method) update_state() (Agent method) use_FIM (BayesianInversionAOpt property) (BayesianInversionAOptConfigs attribute) use_stochastic_greedy (GreedyBinaryOptimizer property) (GreedyBinaryOptimizerConfigs attribute) Utility (in module pyoed.oed.core) (in module pyoed.oed.core.utility_functions) UtilityConfigs (in module pyoed.oed.core) (in module pyoed.oed.core.utility_functions)

V

VALID_INTEGRATORS (class in pyoed.stats.sampling.mcmc) validate() (ToyQuarkConfigs method) validate_Cartesian_grid() (in module pyoed.utility.misc) validate_configurations() (AdvectionDiffusion1D method) (AdvectionDiffusion2D method), [1] (ArrayOperator method) (BayesianInversionAOpt method) (BayesianInversionCriterion method) (BayesianInversionDOpt method) (BayesianInversionEIG method) (BayesianInversionKLDivergenceGaussian method) (Bernoulli method) (BinaryReinforceOptimizer method) (Burgers1D method) (Burgers2D method) (CartesianInterpolator method) (ConditionalBernoulli method) (ConstrainedBinaryReinforceOptimizer method) (ConventionalComplexKalmanFilter method) (Distribution method) (DolfinBiLaplacianErrorModel method) (DolfinLaplacianErrorModel method) (DolfinLinearPredictionOperator method) (DolfinPointWise method) (ErrorModel method) (Exponential method) (ExponentialProposal method) (FederovExchangeOptimizer method) (GaussianErrorModel method) (GaussianMixtureModelProposal method) (GaussianProposal method) (GoalOrientedInverseProblem method), [1] (GoalOrientedLinearInverseProblem method) (GoalOrientedOperator method), [1] (GreedyBinaryOptimizer method) (HMCSampler method) (Identity method) (InverseProblem method) (InversionCriterion method) (InversionOED method) (KalmanFilter method) (Lorenz63 method) (Lorenz96 method) (MCMCSampler method) (ObservationOperator method) (OED method) (Optimizer method) (PointwiseWeightedGaussianErrorModel method) (PoissonBinomial method) (Power method) (PrePostWeightedGaussianErrorModel method) (Proposal method) (PyOEDObject method) (RejectionSampler method) (RelaxedBayesianInversionAOpt method) (RelaxedBayesianInversionDOpt method) (RFunction method) (RobustBayesianInversionAOpt method) (RobustBayesianInversionDOpt method) (RobustBinaryReinforceOptimizer method) (RobustConstrainedBinaryReinforceOptimizer method) (RobustSensorPlacementBayesianInversionOED method) (Sampler method) (ScipyOptimizer method) (SelectionOperator method) (SensorPlacementBayesianInversionOED method) (SimulationModel method) (Subsurf2D method) (SuccessiveLaplaceOED method) (TimeDependentModel method) (TimeIndependentBlackBox method) (TimeIndependentModel method) (Tomography method) (ToyLinearTimeDependent method) (ToyLinearTimeIndependent method) (ToyQuark method) (VanillaFourDVar method) (VanillaThreeDVar method)

validate_function_gradient() (in module pyoed.utility.math) validate_inverse_problem_derivatives() (in module pyoed.utility.math) validate_key() (in module pyoed.configs.configs) VanillaFourDVar (class in pyoed.assimilation.smoothing.fourDVar) VanillaFourDVarConfigs (class in pyoed.assimilation.smoothing.fourDVar) VanillaThreeDVar (class in pyoed.assimilation.filtering.threeDVar) VanillaThreeDVarConfigs (class in pyoed.assimilation.filtering.threeDVar) variance (DolfinGaussianErrorModelConfigs attribute) (GaussianErrorModelConfigs attribute) (GaussianProposalConfigs attribute) variance() (DolfinGaussianErrorModel method) (DolfinLaplacianErrorModel method) (GaussianErrorModel method) variances (GaussianMixtureModelProposalConfigs attribute) VariationalFilter (class in pyoed.assimilation.core.filtering), [1] VariationalFilterConfigs (class in pyoed.assimilation.core.filtering), [1] VariationalFilterResults (class in pyoed.assimilation.core.filtering), [1] VariationalSmoother (class in pyoed.assimilation.core.smoothing), [1] VariationalSmootherConfigs (class in pyoed.assimilation.core.smoothing), [1] VariationalSmootherResults (class in pyoed.assimilation.core.smoothing), [1] verbose (NystromRandomizedHessian property) (PyOEDConfigs attribute) (PyOEDObject property) (RFunction property) VERBOSE (SETTINGS attribute) verbose (SVDReducedHessian property) VERLET (VALID_INTEGRATORS attribute) Vh (DolfinGaussianErrorModelConfigs attribute) (DolfinLaplacianErrorModel property) (DolfinLaplacianErrorModelConfigs attribute) (DolfinPointWise property) (DolfinPointWiseConfigs attribute) visualize_proposal() (in module pyoed.stats.sampling.proposals)

W

WeightedAlternatingSignOptimizationFunction (class in pyoed.optimization.test_functions.binary_test_functions) weights (GaussianMixtureModelProposal property) (GaussianMixtureModelProposalConfigs attribute) window (Smoother property) (SmootherConfigs attribute)

write_results() (InverseProblemResults method) (OEDResults method) (SLOEDResults method)

X

x (BinaryReinforceOptimizerResults property) (GreedyBinaryOptimizerResults property) (OptimizerResults property) (RobustBinaryReinforceOptimizerResults property) (ScipyOptimizerResults property)

x0 (ScipyOptimizerConfigs attribute) x_grid (ToyQuark property) (ToyQuarkConfigs attribute)