Skip to main content
Ctrl+K
pygpc pygpc

pygpc documentation

  • Introduction to generalized Polynomial Chaos (gPC)
  • Introduction to uncertainty analysis
  • How to define a gPC problem
  • Validation of gPC approximation
  • Dimensionality reduction
    • Modelling discontinuous model functions
    • Setting up a custom model
    • Polynomial basis functions
    • Gradient enhanced gPC
    • Algorithm: RegAdaptive
    • Algorithm: Static (Quadrature)
    • Algorithm: Static (Regression)
    • Algorithm: StaticProjection
    • Algorithm: RegAdaptiveProjection
    • Algorithm: MEStatic
    • Algorithm: MEStaticProjection
    • Algorithm: MEStatic_IO
    • Algorithm: Static_IO
    • Algorithm: MERegAdaptiveProjection
    • Comparison of sampling schemes
    • Standard Random sampling
    • Latin Hypercube Sampling (LHS)
    • L1 optimal sampling
    • Analyzing Julia models with pygpc
    • Analyzing MATLAB models with pygpc
    • Parallel processing capabilities of pygpc
    • OpenMP and CUDA
    • Example: Lorenz system of differential equations (Julia)
    • Example: Lorenz system of differential equations
    • Example: Ishigami Testfunction
    • Example: Modelling of an electrode
  • GitHub
  • Twitter
  • PyPI
  • pygpc
  • Introduction to generalized Polynomial Chaos (gPC)
  • Introduction to uncertainty analysis
  • How to define a gPC problem
  • Validation of gPC approximation
  • Dimensionality reduction
  • Modelling discontinuous model functions
  • Setting up a custom model
  • Polynomial basis functions
  • Gradient enhanced gPC
  • Algorithm: RegAdaptive
  • Algorithm: Static (Quadrature)
  • Algorithm: Static (Regression)
  • Algorithm: StaticProjection
  • Algorithm: RegAdaptiveProjection
  • Algorithm: MEStatic
  • Algorithm: MEStaticProjection
  • Algorithm: MEStatic_IO
  • Algorithm: Static_IO
  • Algorithm: MERegAdaptiveProjection
  • Comparison of sampling schemes
  • Standard Random sampling
  • Latin Hypercube Sampling (LHS)
  • L1 optimal sampling
  • Analyzing Julia models with pygpc
  • Analyzing MATLAB models with pygpc
  • Parallel processing capabilities of pygpc
  • OpenMP and CUDA
  • Example: Lorenz system of differential equations (Julia)
  • Example: Lorenz system of differential equations
  • Example: Ishigami Testfunction
  • Example: Modelling of an electrode
  • GitHub
  • Twitter
  • PyPI
  • pygpc
  • Overview: module code

All modules for which code is available

  • pygpc.AbstractModel
  • pygpc.Algorithm
  • pygpc.Basis
  • pygpc.BasisFunction
  • pygpc.Classifier
  • pygpc.Computation
  • pygpc.GPC
  • pygpc.Grid
  • pygpc.MEGPC
  • pygpc.Problem
  • pygpc.RandomParameter
  • pygpc.SGPC
  • pygpc.Test
  • pygpc.TestBench
  • pygpc.ValidationSet
  • pygpc.Visualization
  • pygpc.Worker
  • pygpc.io
  • pygpc.misc
  • pygpc.postprocessing
  • pygpc.sobol_saltelli
  • pygpc.testfunctions.testfunctions
  • pygpc.validation

© Copyright 2024, Konstantin Weise.

Created using Sphinx 9.0.1.

Built with the PyData Sphinx Theme 0.16.1.