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 + ROS support
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 next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
A JuMP-based Nonlinear Integer Program Solver
Data Structures for Optimization Models
A toolkit for testing control and planning algorithm for car racing.
MATLAB implementations of a variety of nonlinear programming algorithms.
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.
An open source library for the GPU-implementation of L-BFGS-B algorithm
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
nonlinear control optimization tool
Python-based Derivative-Free Optimization with Bound Constraints
Riemannian stochastic optimization algorithms: Version 1.0.3