MADS
Model Analysis & Decision Support
Open-source high-performance computational framework for data- & model-based analyses in Julia and C.
What MADS can do
MADS supports common workflows in model analysis, inversion, uncertainty quantification, and decision support.
- Sensitivity Analysis
- Parameter Estimation
- Model Inversion and Calibration
- Uncertainty Quantification
- Model Selection and Model Averaging
- Model Reduction and Surrogate Modeling
- Machine Learning and Blind Source Separation
- Decision Analysis and Support
Theory & Research
Key publications, presentations, and reports (PDF links).
The legacy site contains a long curated list of links. This modernization keeps PDFs in the same folders (for stable URLs) while the homepage layout is refreshed.
Note: GitHub Pages does not always show directory listings; if needed, browse via GitHub.