A Python-embedded modeling language for convex optimization problems.
Portfolio Optimization in Python
Python library for portfolio optimization built on top of scikit-learn
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.
Splitting Conic Solver
With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization
Pure Java LP, QP and MIP solvers plus fast linear algebra. Zero dependencies, MIT licensed. Mathematical optimization and linear algebra for the JVM.
Exploring Learning and Optimization for Robot Motion Planning and Control.