# Difference between revisions of "GNU Octave Wiki"

Line 27: | Line 27: | ||

* [[Octave for Mac|Octave for MacOS (minimalistic)]] | * [[Octave for Mac|Octave for MacOS (minimalistic)]] | ||

* [[Enable large arrays: Build octave such that it can use arrays larger than 2Gb.|Building Octave to Use Large Arrays]] | * [[Enable large arrays: Build octave such that it can use arrays larger than 2Gb.|Building Octave to Use Large Arrays]] | ||

− | |||

=== Octave Packages === | === Octave Packages === |

## Revision as of 15:06, 1 March 2012

GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable.

This wiki is intended to supplement the Octave documentation. Before adding content, please check that it is not already part of, or belongs in, the Octave's documentation.

## Octave FAQ

The FAQ is a list of frequently asked questions (FAQ) for Octave users and a good place to start.

## Octave Conference 2012

Planning for OctConf 2012 is under way. Newbies, experienced users, aspiring developers, and experienced developers are all encouraged to attend.

## Table of contents

Below is a temporary attempt to organize the "most wanted" pages of the Wiki. A list of all pages on the wiki can be seen here. To locate something specific, try the wiki's search box, or prepend `site:http://www.octave.org/wiki/`

to a google search.

### Installation Instructions for Windows and MacOS X

### Building Octave

- Build from source
- Mercurial (hg) cheat sheet
- Testing Source Code
- GNU/Linux binary packages
- Octave for MacOS (minimalistic)
- Building Octave to Use Large Arrays