For discussion of mathematical optimization software in Julia. This includes modeling software and solvers for linear optimization, mixed-integer optimization, convex optimization, nonlinear optimization, semidefinite optimization, and related topics.
- JuMP is a modeling language and collection of solvers for constrained optimization. It supports a wide variety of problem classes including linear programming, conic programming, semidefinite programming, and nonlinear programming.
- JuliaSmoothOptimizers provides a collection of tools primarily designed for developing solvers for smooth nonlinear optimization.
- JuliaNLSolvers offers implementations in Julia of standard standard optimization algorithms for unconstrained or box-constrained problems such as BFGS, Nelder-Mead, conjugate gradient, etc.
- JuliaHub lists 70+ optimization packages in Julia!
The julia-opt list was the home for discussions in this category until December 2016.