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pygpc documentation

Introduction to generalized Polynomial Chaos (gPC)
Introduction to uncertainty analysis
How to define a gPC problem
Validation of gPC approximation
Dimensionality reduction

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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

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