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.
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.
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 JuMP-based Nonlinear Integer Program Solver
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Data Structures for Optimization Models
MATLAB implementations of a variety of nonlinear programming algorithms.
A toolkit for testing control and planning algorithm for car racing.
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
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.
A solver for mixed-integer convex optimization
Lightweighted graph optimization (Factor graph) library.
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
An open source library for the GPU-implementation of L-BFGS-B algorithm
nonlinear control optimization tool
Python-based Derivative-Free Optimization with Bound Constraints