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PyOED code and documentation are under active development with evolving interface!
PyOED — Optimal Experimental Design PyOED — Optimal Experimental Design

PyOED

  • Install
  • Quick Start
  • Getting Started
  • Key Concepts
    • Examples & Tutorials
    • FAQ
    • Architecture
    • API Reference
    • Releases
    • News & Changelog
    • Contributors
    • Contributing
    • Feature Requests
    • License
    • PyOED Paper
  • GitLab
  • PyOED Paper
  • Install
  • Quick Start
  • Getting Started
  • Key Concepts
  • Examples & Tutorials
  • FAQ
  • Architecture
  • API Reference
  • Releases
  • News & Changelog
  • Contributors
  • Contributing
  • Feature Requests
  • License
  • PyOED Paper
  • GitLab
  • PyOED Paper

Section Navigation

  • One Dimensional Example: Inversion/Assimilation & OED
  • Advection-Diffusion Model with FEniCs Backend
  • Binary Optimization via Stochastic Learning
  • Binary Optimization with Budget Constraints
  • Starters (First Steps)
  • Models
  • Statistics
  • Optimization
  • Data Assimilation
  • Optimal Experimental Design (OED)
  • Examples & Tutorials
  • Models

Models#

  • Simulation Models

  • Observation Operators

  • Error Models

Simulation Models#

Some examples to create and use simulation models.

Observation Operators#

Some examples to create and use observation operators.

Error Models#

Some examples to create and use error models (prior, noise, etc.).

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Starters

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Statistics

On this page
  • Simulation Models
  • Observation Operators
  • Error Models

Last updated on Feb 26, 2026.

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