MADS
Model Analyses and Decision Support
MADS is an integrated high-performance/cloud-computing framework for data/model/decision analyses.
MADS can be coupled with any existing numerical model or simulator, including machine learning algorithms and models.
MADS can be applied to perform:
- Sensitivity Analysis
- Parameter Estimation
- Model Inversion and Calibration
- Uncertainty Quantification
- Model Selection and Averaging
- Model Reduction and Surrogate Modeling
- Decision Analysis and Support
MADS analyses utilizes adaptive rules and techniques which allow the analyses to be performed efficiently with minimum user input.