Skip to main content
buildradar
Sign in

SciML/Optimization.jl

@SciML

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.

Stars
835
Forks
100
Language
Julia
License
MIT
Last push
2 days ago
Juliahacktoberfestlocal-optimizationnonlinear-optimizationoptimizationjuliaautomatic-differentiationscientific-machine-learningscimlconvex-optimizationalgorithmic-differentiationderivative-free-optimizationglobal-optimizationmixed-integer-programming

No related intel yet

This repo has not appeared in any of the sources the radar tracks. The collector runs on a schedule — check back once it covers this repo.