Python interface for the SCIP Optimization Suite

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

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

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

skscope: Sparse-Constrained OPtimization via itErative-solvers

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.

Package to call the NLopt nonlinear-optimization library from the Julia language

Represent trained machine learning models as Pyomo optimization formulations

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

An intuitive modeling interface for infinite-dimensional optimization problems.

HPC solver for nonlinear 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 JuMP-based Nonlinear Integer Program Solver

Factor graphs and nonlinear least squares for JAX

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

MATLAB implementations of a variety of nonlinear programming algorithms.

Data Structures for Optimization Models

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