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juliahub.com : GalacticBBO

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Registry - Source - Homepage - Documentation - JSON
purl: pkg:julia/GalacticBBO
Keywords: automatic-differentiation, algorithmic-differentiation, derivative-free-optimization, nonlinear-optimization, mixed-integer-programming, julia, hacktoberfest, scientific-machine-learning, local-optimization, global-optimization, sciml, optimization, convex-optimization
License: MIT
Latest release: over 1 year ago
First release: over 1 year ago
Stars: 652 on GitHub
Forks: 71 on GitHub
Total Commits: 1156
Committers: 61
Average commits per author: 18.951
Development Distribution Score (DDS): 0.581
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 29 days ago

0.1.0
Published: over 1 year ago
Registry - Documentation -