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SciML/Optimization.jl

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.

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 (1 open beginner issue)
Latest indexed
Jul 24, 2026
Last GitHub push
May 8, 2026
License
MIT License
Contributing guide
Contributing guide
Code of conduct
Code of conduct
Dominant language
Julia
PR merge metrics
 (Avg merge 2d 1h) (20 merged PRs in 30d)
Beginner labels
good first issue

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1 open indexed issue

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