Updated 6 months ago

https://github.com/SciML/Optimization.jl • Rank 11.1 • Science 59%

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.