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.
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Updated
Nov 15, 2018 - Jupyter Notebook
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 new method for computing convex relaxations for implicit functions and inverse functions.
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