https://github.com/stevengj/nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
https://github.com/stevengj/nlopt

Last synced: 6 months ago
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library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

• Host: GitHub
• URL: https://github.com/stevengj/nlopt
• Owner: stevengj
• License: other
• Created: 2013-08-27T16:59:11.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2024-10-29T07:38:48.000Z (about 1 year ago)
• Last Synced: 2024-10-29T15:11:21.090Z (about 1 year ago)
• Language: C
• Size: 4.11 MB
• Stars: 1,875
• Watchers: 75
• Forks: 582
• Open Issues: 114
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog
  • License: COPYING
  • Citation: CITATION.bib
  • Authors: AUTHORS

Awesome Lists containing this project

• awesome-python-data-science - nlopt - Library for nonlinear optimization (global and local, constrained or unconstrained). (Optimization / NLP)

README

          
[![Latest Docs](https://readthedocs.org/projects/nlopt/badge/?version=latest)](http://nlopt.readthedocs.io/en/latest/)

[![Build Status](https://github.com/stevengj/nlopt/actions/workflows/build.yml/badge.svg?branch=master)](https://github.com/stevengj/nlopt/actions/workflows/build.yml)

NLopt is a library for nonlinear local and global optimization, for

functions with and without gradient information.  It is designed as

a simple, unified interface and packaging of several free/open-source

nonlinear optimization libraries.

The latest release can be downloaded from the [NLopt releases](https://github.com/stevengj/nlopt/releases) page on Github, and the 

[NLopt manual](https://nlopt.readthedocs.io/en/latest/) is hosted on readthedocs.

To build it refer to the [installation instructions](https://nlopt.readthedocs.io/en/latest/#download-and-installation).

To use in your C/C++ programs see the [C reference manual](https://nlopt.readthedocs.io/en/latest/NLopt_Reference/).

There are also interfaces for [C++](https://nlopt.readthedocs.io/en/latest/NLopt_C-plus-plus_Reference/), [Fortran](https://nlopt.readthedocs.io/en/latest/NLopt_Fortran_Reference/), [Python](https://nlopt.readthedocs.io/en/latest/NLopt_Python_Reference/), [Matlab or GNU Octave](https://nlopt.readthedocs.io/en/latest/NLopt_Matlab_Reference/), [OCaml](https://bitbucket.org/mkur/nlopt-ocaml),

[GNU Guile](https://nlopt.readthedocs.io/en/latest/NLopt_Guile_Reference/), [GNU R](https://www.ucl.ac.uk/~uctpjyy/nloptr.html), [Lua](https://github.com/rochus-keller/LuaNLopt), [Perl](https://metacpan.org/pod/Math::NLopt), [Rust](https://github.com/jesskfullwood/rust-nlopt), [Ruby](https://github.com/ankane/nlopt-ruby), [Julia](https://github.com/JuliaOpt/NLopt.jl), and [Java](https://nlopt.readthedocs.io/en/latest/NLopt_Java_Reference/).  Interfaces for other languages may

be added in the future.