robust is a framework for engineering system optimization under uncertainty using geometric and signomial programming.
Robust optimization is a tractable stochastic optimization method that protects against uncertain parameters in well-defined sets, and optimizes for the worst case objective.
This website is under construction. If you have a GP model that you would like to robustify but are not able to find answers to your questions in the documentation, please feel free to post issues and suggest areas for improvement.
Table of contents:
.. toctree:: :maxdepth: 2 robust101 installation gettingstarted whyro math methods rspapproaches simulation goal references