GNU Octave Wiki
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.
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, MacOS X and GNU/Linux
- Build from source
- Mercurial (hg) cheat sheet
- Testing Source Code
- GNU/Linux binary packages
- Octave for MacOS (minimalistic)
- Create a MacOS X App Bundle Using MacPorts
- Building Octave to Use Large Arrays
Editors & Octave
All or most of the information about plotting in Octave can be found in the manual and on the internet. This information can be too scattered over different resources for a new user to find his/her way into solving a plotting problem/need. This tutorial should be considered as the 'recipe text' by examples if you consider the manual as a 'recipe ingredients only'.
First of all, Octave aims at being compatible with Matlab (TM) as much as possible, so the graphics part is very similar too to Matlab. In Octave the first choice to make is the
graphics_toolkit(). Standard is the 'gnuplot' toolkit using the Gnuplot software package . The second choice is 'fltk' fltk. You might want to try to test both of them for your plotting aims to see which solves your problem.