Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Linear optimization software
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.
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
SCIP - Solving Constraint Integer Programs
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
Pure Java LP, QP and MIP solvers plus fast linear algebra. Zero dependencies, MIT licensed. Mathematical optimization and linear algebra for the JVM.