Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

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

Constrained optimization toolkit for PyTorch

Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.

Generalized and Efficient Blackbox Optimization System

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

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.

Generic Constraint Development Environment

OptCuts, a new parameterization algorithm, jointly optimizes arbitrary embeddings for seam quality and distortion. OptCuts requires no parameter tuning; automatically generating mappings that minimize seam-lengths while satisfying user-requested distortion bounds.

High-performance metaheuristics for optimization coded purely in Julia.

HPC solver for nonlinear optimization problems

Source Codes for Codimensional Incremental Potential Contact (C-IPC)

Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.

A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT

A compact Constrained Model Predictive Control (MPC) library with Active Set based Quadratic Programming (QP) solver for Teensy4/Arduino system (or any real time embedded system in general)

A general-purpose, deep learning-first library for constrained optimization in PyTorch

Powell's Derivative-Free Optimization solvers.

Modern Fortran Edition of the SLSQP Optimizer

Generalized and Efficient Blackbox Optimization System.

The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software