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discopt-doe

Getting Started

The browser app
Choosing a design
Model-Based Design of Experiments
Design of Experiments from the Command Line
Batch / Parallel Design of Experiments

Classical Designs

Factor Screening with 2-Level Factorial Designs
Mixture Designs
Latin-Square Designs and ANOVA

Model-Based & Sequential DoE

Model-Based Design of Experiments
Identifiability and Estimability Analysis
Model-Based Active Learning for Response Optimization
Model Discrimination Workflow

Active-Learning Optimization

Active-Learning Optimization with a Surrogate

Appendix

References

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By John Kitchin

© Copyright 2026, John Kitchin.