PyApprox
Getting Started
About
Installation
Tutorials
Software Tutorial
Theoretical Tutorials
Benchmarks
Benchmarks
User Reference Guide
User Reference Guide
PyApprox
Index
Index
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A
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B
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C
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D
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E
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F
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G
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H
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I
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J
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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Z
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__call__() (pyapprox.interface.AynchModel method)
(pyapprox.interface.DataFunctionModel method)
(pyapprox.interface.FileIOModel method)
(pyapprox.interface.ModelEnsemble method)
(pyapprox.interface.MultiIndexModel method)
(pyapprox.interface.PoolModel method)
(pyapprox.interface.TimerModel method)
(pyapprox.interface.WorkTrackingModel method)
(pyapprox.surrogates.AdaptiveInducedPCE method)
(pyapprox.surrogates.AdaptiveLejaPCE method)
(pyapprox.surrogates.CombinationSparseGrid method)
(pyapprox.surrogates.PolynomialChaosExpansion method)
A
AbstractBayesianOED (class in pyapprox.expdesign)
adaptive_approximate() (in module pyapprox.surrogates)
AdaptiveInducedPCE (class in pyapprox.surrogates)
AdaptiveLejaPCE (class in pyapprox.surrogates)
add_data_to_network() (pyapprox.bayes.GaussianNetwork method)
add_new_data() (pyapprox.interface.DataFunctionModel method)
add_new_subspaces() (pyapprox.surrogates.AdaptiveInducedPCE method)
(pyapprox.surrogates.AdaptiveLejaPCE method)
(pyapprox.surrogates.CombinationSparseGrid method)
AffineTransform (class in pyapprox.variables)
allocate_initial_samples() (pyapprox.surrogates.AdaptiveInducedPCE method)
AlphabetOptimalDesign (class in pyapprox.expdesign)
APC (class in pyapprox.surrogates)
approximate() (in module pyapprox.surrogates)
assemble_evidence() (pyapprox.bayes.GaussianNetwork method)
asynchronous_evaluate_using_shell_command() (pyapprox.interface.AynchModel method)
AynchModel (class in pyapprox.interface)
B
basis_matrix() (pyapprox.surrogates.APC method)
(pyapprox.surrogates.PolynomialChaosExpansion method)
bayesian_objective_jacobian_components() (pyapprox.expdesign.NonLinearAlphabetOptimalDesign method)
BayesianBatchDeviationOED (class in pyapprox.expdesign)
BayesianBatchKLOED (class in pyapprox.expdesign)
BayesianSequentialDeviationOED (class in pyapprox.expdesign)
BayesianSequentialKLOED (class in pyapprox.expdesign)
BayesianSequentialOED (class in pyapprox.expdesign)
Benchmark (class in pyapprox.benchmarks)
build() (pyapprox.surrogates.AdaptiveInducedPCE method)
C
canonical_basis_matrix() (pyapprox.surrogates.APC method)
(pyapprox.surrogates.PolynomialChaosExpansion method)
cartesian_product() (in module pyapprox.util)
check_gradients() (in module pyapprox.util)
cleanup_threads() (pyapprox.interface.AynchModel method)
CombinationSparseGrid (class in pyapprox.surrogates)
combine_uncertain_and_bounded_design_variables() (in module pyapprox.variables)
compute_expected_utility() (pyapprox.expdesign.AbstractBayesianOED method)
(pyapprox.expdesign.BayesianBatchDeviationOED method)
(pyapprox.expdesign.BayesianBatchKLOED method)
(pyapprox.expdesign.BayesianSequentialDeviationOED method)
(pyapprox.expdesign.BayesianSequentialKLOED method)
compute_importance_weights() (pyapprox.expdesign.BayesianSequentialOED method)
compute_rotation() (pyapprox.surrogates.APC method)
compute_utilities() (pyapprox.expdesign.AbstractBayesianOED method)
(pyapprox.expdesign.BayesianBatchDeviationOED method)
condition_number() (pyapprox.surrogates.AdaptiveLejaPCE method)
configure() (pyapprox.surrogates.PolynomialChaosExpansion method)
ConfigureVariableTransformation (class in pyapprox.variables)
constraint() (pyapprox.expdesign.AlphabetOptimalDesign method)
construct_dataless_network() (pyapprox.bayes.GaussianNetwork method)
convert_to_compact_factors() (pyapprox.bayes.GaussianNetwork method)
cost_function() (pyapprox.interface.WorkTrackingModel method)
covariance() (pyapprox.surrogates.PolynomialChaosExpansion method)
create_new_subspaces_data() (pyapprox.surrogates.AdaptiveInducedPCE method)
(pyapprox.surrogates.AdaptiveLejaPCE method)
create_work_dir() (pyapprox.interface.AynchModel method)
cvar_regression() (in module pyapprox.optimization)
D
DataFunctionModel (class in pyapprox.interface)
E
estimate_model_ensemble_covariance() (in module pyapprox.multifidelity)
evaluate() (pyapprox.variables.IndependentMarginalsVariable method)
evaluate_1darray_function_on_2d_array() (in module pyapprox.interface)
evaluate_at_interrogation_samples() (pyapprox.surrogates.CombinationSparseGrid method)
evaluate_at_separated_samples() (pyapprox.interface.ModelEnsemble method)
evaluate_models() (pyapprox.interface.ModelEnsemble method)
evaluate_using_all_data() (pyapprox.surrogates.CombinationSparseGrid method)
F
FileIOModel (class in pyapprox.interface)
fit() (pyapprox.surrogates.AdaptiveInducedPCE method)
G
GaussCopulaVariable (class in pyapprox.variables)
GaussianNetwork (class in pyapprox.bayes)
GaussianProcess (class in pyapprox.surrogates)
generate_parameter_sweeps_and_plot_from_variable() (in module pyapprox.analysis)
get() (pyapprox.interface.FileIOModel method)
get_active_unique_poly_indices() (pyapprox.surrogates.AdaptiveInducedPCE method)
(pyapprox.surrogates.AdaptiveLejaPCE method)
get_bayesian_oed_optimizer() (in module pyapprox.expdesign)
get_coefficients() (pyapprox.surrogates.PolynomialChaosExpansion method)
get_estimator() (in module pyapprox.multifidelity)
get_gauss_quadrature_rule_from_marginal() (in module pyapprox.surrogates)
get_indices() (pyapprox.surrogates.PolynomialChaosExpansion method)
get_num_new_subspace_samples() (pyapprox.surrogates.AdaptiveLejaPCE method)
get_ranges() (pyapprox.variables.AffineTransform method)
get_samples() (pyapprox.surrogates.CombinationSparseGrid method)
get_statistics() (pyapprox.variables.IndependentMarginalsVariable method)
get_subspace_samples() (pyapprox.surrogates.CombinationSparseGrid method)
get_tensor_product_piecewise_polynomial_quadrature_rule() (in module pyapprox.surrogates)
gpc_sobol_sensitivities() (in module pyapprox.analysis)
H
halton_sequence() (in module pyapprox.expdesign)
hash_sample() (pyapprox.interface.DataFunctionModel method)
I
increment_samples() (pyapprox.surrogates.AdaptiveInducedPCE method)
IndependentMarginalsVariable (class in pyapprox.variables)
is_bounded_continuous_variable() (pyapprox.variables.IndependentMarginalsVariable method)
J
jacobian() (pyapprox.surrogates.PolynomialChaosExpansion method)
JointVariable (class in pyapprox.variables)
L
laplace_posterior_approximation_for_linear_models() (in module pyapprox.bayes)
list_benchmarks() (in module pyapprox.benchmarks)
M
map_derivatives_from_canonical_space() (pyapprox.variables.AffineTransform method)
map_derivatives_to_canonical_space() (pyapprox.variables.AffineTransform method)
map_from_canonical() (pyapprox.variables.AffineTransform method)
(pyapprox.variables.ConfigureVariableTransformation method)
(pyapprox.variables.NatafTransform method)
(pyapprox.variables.RosenblattTransform method)
map_from_canonical_1d() (pyapprox.variables.AffineTransform method)
map_to_canonical() (pyapprox.variables.AffineTransform method)
(pyapprox.variables.ConfigureVariableTransformation method)
(pyapprox.variables.NatafTransform method)
(pyapprox.variables.RosenblattTransform method)
map_to_canonical_1d() (pyapprox.variables.AffineTransform method)
marginals() (pyapprox.variables.GaussCopulaVariable method)
(pyapprox.variables.IndependentMarginalsVariable method)
mean() (pyapprox.surrogates.PolynomialChaosExpansion method)
ModelEnsemble (class in pyapprox.interface)
module
pyapprox.analysis
pyapprox.bayes
pyapprox.benchmarks
pyapprox.expdesign
pyapprox.interface
pyapprox.multifidelity
pyapprox.optimization
pyapprox.surrogates
pyapprox.util
pyapprox.variables
moments() (pyapprox.surrogates.CombinationSparseGrid method)
moments_() (pyapprox.surrogates.CombinationSparseGrid method)
morris_sensitivities() (in module pyapprox.analysis)
MultiIndexModel (class in pyapprox.interface)
N
NatafTransform (class in pyapprox.variables)
NonLinearAlphabetOptimalDesign (class in pyapprox.expdesign)
num_terms() (pyapprox.surrogates.PolynomialChaosExpansion method)
num_training_samples() (pyapprox.surrogates.AdaptiveInducedPCE method)
num_vars() (pyapprox.bayes.GaussianNetwork method)
(pyapprox.surrogates.PolynomialChaosExpansion method)
(pyapprox.variables.AffineTransform method)
(pyapprox.variables.ConfigureVariableTransformation method)
(pyapprox.variables.GaussCopulaVariable method)
(pyapprox.variables.IndependentMarginalsVariable method)
(pyapprox.variables.NatafTransform method)
(pyapprox.variables.RosenblattTransform method)
O
objective() (pyapprox.expdesign.AlphabetOptimalDesign method)
optimal_experimental_design() (in module pyapprox.expdesign)
outer_product() (in module pyapprox.util)
P
pdf() (pyapprox.variables.GaussCopulaVariable method)
(pyapprox.variables.IndependentMarginalsVariable method)
plot_2d_samples() (in module pyapprox.util)
plot_correlation_matrix() (in module pyapprox.multifidelity)
plot_estimator_sample_allocation_comparison() (in module pyapprox.multifidelity)
plot_estimator_variance_reductions() (in module pyapprox.multifidelity)
plot_interaction_values() (in module pyapprox.analysis)
plot_main_effects() (in module pyapprox.analysis)
plot_model_costs() (in module pyapprox.multifidelity)
plot_sensitivity_indices() (in module pyapprox.analysis)
plot_total_effects() (in module pyapprox.analysis)
PolynomialChaosExpansion (class in pyapprox.surrogates)
PoolModel (class in pyapprox.interface)
populate() (pyapprox.expdesign.AbstractBayesianOED method)
(pyapprox.expdesign.BayesianBatchDeviationOED method)
(pyapprox.expdesign.BayesianBatchKLOED method)
precond_canonical_basis_matrix() (pyapprox.surrogates.AdaptiveLejaPCE method)
prepare_values() (pyapprox.interface.AynchModel method)
print_statistics() (in module pyapprox.variables)
pyapprox.analysis
module
pyapprox.bayes
module
pyapprox.benchmarks
module
pyapprox.expdesign
module
pyapprox.interface
module
pyapprox.multifidelity
module
pyapprox.optimization
module
pyapprox.surrogates
module
pyapprox.util
module
pyapprox.variables
module
R
refine_and_add_new_subspaces() (pyapprox.surrogates.CombinationSparseGrid method)
RosenblattTransform (class in pyapprox.variables)
run() (pyapprox.interface.FileIOModel method)
run_sensitivity_analysis() (in module pyapprox.analysis)
rvs() (pyapprox.variables.GaussCopulaVariable method)
(pyapprox.variables.IndependentMarginalsVariable method)
(pyapprox.variables.JointVariable method)
S
samples_of_bounded_variables_inside_domain() (pyapprox.variables.AffineTransform method)
save() (pyapprox.surrogates.CombinationSparseGrid method)
select_design() (pyapprox.expdesign.AbstractBayesianOED method)
set_coefficients() (pyapprox.surrogates.PolynomialChaosExpansion method)
set_collected_design_indices() (pyapprox.expdesign.AbstractBayesianOED method)
(pyapprox.expdesign.BayesianSequentialOED method)
set_function() (pyapprox.surrogates.AdaptiveInducedPCE method)
set_function_evaluation_id() (pyapprox.interface.FileIOModel method)
set_identity_maps() (pyapprox.variables.AffineTransform method)
set_indices() (pyapprox.surrogates.APC method)
(pyapprox.surrogates.PolynomialChaosExpansion method)
set_interrogation_samples() (pyapprox.surrogates.CombinationSparseGrid method)
set_max_eval_concurrency() (pyapprox.interface.PoolModel method)
set_polynomial_chaos_expansion() (pyapprox.surrogates.AdaptiveInducedPCE method)
set_preconditioning_function() (pyapprox.surrogates.AdaptiveInducedPCE method)
set_univariate_rules() (pyapprox.surrogates.CombinationSparseGrid method)
setup() (pyapprox.surrogates.CombinationSparseGrid method)
setup_advection_diffusion_kle_inversion_benchmark() (in module pyapprox.benchmarks)
setup_benchmark() (in module pyapprox.benchmarks)
setup_genz_function() (in module pyapprox.benchmarks)
setup_ishigami_function() (in module pyapprox.benchmarks)
setup_minimax_nonlinear_constraints() (pyapprox.expdesign.NonLinearAlphabetOptimalDesign method)
setup_multi_index_advection_diffusion_benchmark() (in module pyapprox.benchmarks)
setup_oakley_function() (in module pyapprox.benchmarks)
setup_objective() (pyapprox.expdesign.AlphabetOptimalDesign method)
(pyapprox.expdesign.NonLinearAlphabetOptimalDesign method)
setup_piston_benchmark() (in module pyapprox.benchmarks)
setup_polynomial_ensemble() (in module pyapprox.benchmarks)
setup_rosenbrock_function() (in module pyapprox.benchmarks)
setup_sobol_g_function() (in module pyapprox.benchmarks)
setup_wing_weight_benchmark() (in module pyapprox.benchmarks)
sobol_sequence() (in module pyapprox.expdesign)
solve() (pyapprox.expdesign.AlphabetOptimalDesign method)
solve_FSD_constrained_least_squares_smooth() (in module pyapprox.optimization)
solve_least_squares_regression() (in module pyapprox.optimization)
solve_nonlinear_bayesian() (pyapprox.expdesign.NonLinearAlphabetOptimalDesign method)
solve_nonlinear_minimax() (pyapprox.expdesign.NonLinearAlphabetOptimalDesign method)
solve_quantile_regression() (in module pyapprox.optimization)
solve_SSD_constrained_least_squares_smooth() (in module pyapprox.optimization)
sparse_grid_sobol_sensitivities() (in module pyapprox.analysis)
T
tensor_product_barycentric_lagrange_interpolation() (in module pyapprox.surrogates)
tensor_product_piecewise_polynomial_interpolation() (in module pyapprox.surrogates)
TimerModel (class in pyapprox.interface)
U
unrotated_basis_matrix() (pyapprox.surrogates.APC method)
unrotated_canonical_basis_matrix() (pyapprox.surrogates.APC method)
update_design() (pyapprox.expdesign.AbstractBayesianOED method)
update_leja_sequence_fast() (pyapprox.surrogates.AdaptiveLejaPCE method)
update_leja_sequence_slow() (pyapprox.surrogates.AdaptiveLejaPCE method)
update_observations() (pyapprox.expdesign.BayesianSequentialOED method)
update_recursion_coefficients() (pyapprox.surrogates.PolynomialChaosExpansion method)
V
value() (pyapprox.surrogates.PolynomialChaosExpansion method)
variance() (pyapprox.surrogates.PolynomialChaosExpansion method)
W
WorkTrackingModel (class in pyapprox.interface)
Z
z_joint_density() (pyapprox.variables.GaussCopulaVariable method)