A development environment for robust and global optimization

A forward McCormick operator library

A reverse McCormick operator library

MCPy is a python library for McCormick relaxations with sub-gradients. This is quite useful for prototyping and testing new convex relaxation and global optimization algorithms.

Proof-of-concept implementation of a method by Song and Khan (2022) for computing convex relaxations for parametric ordinary differential equations.

CUDA McCormick Arithmetic Library