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GitHub / yuanxuns / McCormick-Relaxations-in-Python

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yuanxuns%2FMcCormick-Relaxations-in-Python
PURL: pkg:github/yuanxuns/McCormick-Relaxations-in-Python

Stars: 1
Forks: 0
Open issues: 0

License: apache-2.0
Language: Jupyter Notebook
Size: 9.97 MB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: about 1 month ago
Pushed at: 2 months ago
Last synced at: about 1 month ago

Topics: convex-relaxation, global-optimization, interval-arithmetic, mccormick-relaxation, subgradient

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