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OpenTURNS

An Open source initiative for the Treatment of Uncertainties, Risks'N Statistics

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Table of Contents

  • Meta modeling
    • General purpose metamodels
    • Polynomial chaos metamodel
    • Kriging metamodel
    • Fields metamodels

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Aggregate processes

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Create a linear least squares model

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Meta modeling¶

General purpose metamodels¶

  • Create a linear least squares model
  • Taylor approximations
  • Mixture of experts
  • Create a linear model
  • Create a general linear model metamodel

Polynomial chaos metamodel¶

  • Create a polynomial chaos for the Ishigami function: a quick start guide to polynomial chaos
  • Create a polynomial chaos metamodel by integration on the cantilever beam
  • Create a polynomial chaos metamodel
  • Advanced polynomial chaos construction
  • Polynomial chaos exploitation
  • Polynomial chaos over database
  • Compute grouped indices for the Ishigami function
  • Fit a distribution from an input sample
  • Polynomial chaos graphs
  • Validate a polynomial chaos

Kriging metamodel¶

  • Kriging the cantilever beam model
  • Kriging the cantilever beam model using HMAT
  • Configuring the trend in Kriging
  • Create a metamodel using Kriging
  • Create a kriging metamodel in one dimension
  • Simulate new trajectories from a kriging metamodel
  • Sequentially adding new points to a kriging
  • Advanced kriging
  • Configuring an arbitrary trend in Kriging
  • Configure the optimization solver of a kriging algorithm

Fields metamodels¶

  • Metamodel of a field function
  • Viscous free fall: metamodel of a field function

Navigation

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  • next |
  • previous |
  • OpenTURNS 1.15 documentation »
  • Contents »
  • Examples »
  • Meta modeling
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