GitHub

MADS

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:

  • Parameter Estimation
  • Model Inversion and Calibration
  • Model Selection and Averaging
  • Model Reduction and Surrogate Modeling
  • Sensitivity Analysis
  • Uncertainty Quantification
  • Risk Assessment
  • Decision Analysis and Support

MADS analyses utilize adaptive rules and techniques which allow the analyses to be performed efficiently with minimum user input.

Start here

Getting help

  • GitHub Discussions (questions, support)
  • GitHub Issues (bugs, feature requests)
  • Support email: <a class="js-obfuscated-email" data-u="support" data-d="envitrace.com" href="#" rel="nofollow">support [at] envitrace [dot] com</a>

Developers

Primary developer: