# nlopt

**Repository Path**: plenari/nlopt

## Basic Information

- **Project Name**: nlopt
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-11-18
- **Last Updated**: 2024-11-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## 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), [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.