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

An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)

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.

Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support

LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

A highly customizable SQP & barrier solver for nonlinearly constrained optimization

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

skscope: Sparse-Constrained OPtimization via itErative-solvers

Represent trained machine learning models as Pyomo optimization formulations

An intuitive modeling interface for infinite-dimensional optimization problems.

A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)

A Julia interface to the NLopt nonlinear-optimization library

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

iterative Linear Quadratic Regulator with support for constraints on input and state variables via barrier functions—Numba-accelerated.

HPC solver for nonlinear optimization problems

A toolkit for testing control and planning algorithm for car racing.

Data Structures for Optimization Models

A JuMP-based Nonlinear Integer Program Solver