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: about 2 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 (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2024-03-15T09:41:54.000Z (3 months ago)
• Last Synced: 2024-04-19T07:51:14.923Z (2 months ago)
• Language: C
• Size: 4.11 MB
• Stars: 1,735
• Watchers: 74
• Forks: 532
• Open Issues: 127
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog
  • License: COPYING
  • Citation: CITATION.bib
  • Authors: AUTHORS

Lists

• awesome-python-data-science - nlopt - Library for nonlinear optimization (global and local, constrained or unconstrained). (Optimization / Others)
• awesome-stars - stevengj/nlopt - library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization (C)
• 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.

NLopt is compiled and installed with the [CMake](https://cmake.org/) build system

(see `CMakeLists.txt` file for available options):

    git clone https://github.com/stevengj/nlopt.git

    cd nlopt

    mkdir build

    cd build

    cmake ..

    make

    sudo make install

(To build the latest development sources from git, you will need [SWIG](http://www.swig.org/)

to generate the Python and Guile bindings.)

Once it is installed, `#include ` in your C/C++ programs and

link it with `-lnlopt -lm`.  You may need to use a C++ compiler to link

in order to include the C++ libraries (which are used internally by NLopt,

even though it exports a C API).  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), [Rust](https://github.com/jesskfullwood/rust-nlopt), and [Julia](https://github.com/JuliaOpt/NLopt.jl).  Interfaces for other languages may

be added in the future.