constrained-optimization

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.

a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates

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.

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.

A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization

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

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.

Generic Constraint Development Environment

High-performance metaheuristics for optimization coded purely in Julia.

A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and understanding.

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

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)

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

Powell's Derivative-Free Optimization solvers.

Modern Fortran Edition of the SLSQP Optimizer