Reliability based design optimization of a non-linear controller

A Julia package for multiple kernel learning aided two-stage robust optimization.

Distributionally Robust Graphical Models

Introductory (adjustable) robust optimization by matrix computation with box uncertainty and budget of uncertainty.

Data-driven decision making under uncertainty using matrices

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

A development environment for robust and global optimization