A large scale non-linear optimization library
Linear optimization software
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Python interface for the SCIP Optimization Suite
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.
With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization
Exploring Learning and Optimization for Robot Motion Planning and Control.