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  • Installation

Tutorials

  • Software Tutorial
  • Theoretical Tutorials

Benchmarks

  • Benchmarks

User Reference Guide

  • User Reference Guide
PyApprox
  • Overview: module code

All modules for which code is available

  • pyapprox.analysis.parameter_sweeps
  • pyapprox.analysis.sensitivity_analysis
  • pyapprox.bayes.gaussian_network
  • pyapprox.bayes.laplace
  • pyapprox.benchmarks.benchmarks
  • pyapprox.expdesign.bayesian_oed
  • pyapprox.expdesign.linear_oed
  • pyapprox.expdesign.low_discrepancy_sequences
  • pyapprox.interface.async_model
  • pyapprox.interface.file_io_model
  • pyapprox.interface.wrappers
  • pyapprox.multifidelity.factory
  • pyapprox.multifidelity.visualize
  • pyapprox.optimization.cvar_regression
  • pyapprox.optimization.first_order_stochastic_dominance
  • pyapprox.optimization.quantile_regression
  • pyapprox.optimization.second_order_stochastic_dominance
  • pyapprox.surrogates.approximate
  • pyapprox.surrogates.interp.adaptive_sparse_grid
  • pyapprox.surrogates.interp.barycentric_interpolation
  • pyapprox.surrogates.interp.tensorprod
  • pyapprox.surrogates.orthopoly.quadrature
  • pyapprox.surrogates.polychaos.adaptive_polynomial_chaos
  • pyapprox.surrogates.polychaos.arbitrary_polynomial_chaos
  • pyapprox.surrogates.polychaos.gpc
  • pyapprox.util.utilities
  • pyapprox.util.visualization
  • pyapprox.variables.joint
  • pyapprox.variables.sampling
  • pyapprox.variables.transforms

© Copyright 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights in this software..

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