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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.

Owner
SciML (organization)
Stars
Stars: 851
Forks
Forks: 107
Language
Julia
License
MIT
Created
2020
Topics
optimizationlocal-optimizationglobal-optimizationautomatic-differentiationalgorithmic-differentiationscimlscientific-machine-learninghacktoberfestjuliamixed-integer-programming
Tier
Beta (700 to 1,999 ★) What this tier means
View on GitHub

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