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.