nonlinear-programming

A large scale non-linear optimization library

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.

Package to call the NLopt nonlinear-optimization library from the Julia language

HPC solver for nonlinear optimization problems

Data Structures for Optimization Models

Represent trained machine learning models as Pyomo optimization formulations

MATLAB implementations of a variety of nonlinear programming algorithms.

A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.

An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.

A solver for nonlinear programming

Optimization models using various solvers

[Experimental] A SQP solver implemented with Eigen.

A pseudo-spectral collocation based multi-phase Optimal control problem solver

Underactuated double-pendulum (acrobot) on a cart to play with direct optimal control methods

Nonsmooth Unconstrained Optimization via Limited Memory Bundle Method

A solver for nonlinear programming based on a sequential quadratic programming strategy with feasible intermediate iterates.

A thin IPOPT wrapper for NLPModels

HALeqO solver for nonlinear equality-constrained optimization

Open-Source Optimization Library - Extremum

My solutions to exercises in Urban Transportation Network

A simple algebraic modeling/differentiation package

Framework for nonlinear dynamics and chaos

Nonlinear programming: unrestricted multivariable

Nonlinear programming: monovariable

Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.

Application of Kaimere project to different optimization tasks