There are 20 repositories under nonlinear-optimization topic.
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 + ROS support
A highly customizable SQP & barrier solver for nonlinearly constrained optimization
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
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.
Represent trained machine learning models as Pyomo optimization formulations
skscope: Sparse-Constrained OPtimization via itErative-solvers
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
An intuitive modeling interface for infinite-dimensional optimization problems.
[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]
iterative Linear Quadratic Regulator with support for constraints on input and state variables via barrier functions—Numba-accelerated.
A toolkit for testing control and planning algorithm for car racing.
Data Structures for Optimization Models
A JuMP-based Nonlinear Integer Program Solver
An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and code examples.
MATLAB implementations of a variety of nonlinear programming algorithms.
An open source library for the GPU-implementation of L-BFGS-B algorithm
A solver for mixed-integer convex optimization
Lightweighted graph optimization (Factor graph) library.
[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
nonlinear control optimization tool
A Super Fast Optimization Library
Python-based Derivative-Free Optimization with Bound Constraints
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.