o /** @mainpage Eigen

Table of contents

Overview
License
Features
To-do wiki
Compiler Support
News
Download
Relation to KDE
Examples
Applications using Eigen
Credits
Contact us
Mailing list

Overview

Eigen is a C++ template library for vector and matrix math, a.k.a. linear algebra. It aims to concile speed, ease of use, and completeness.

License

Eigen is dual-licensed: it can be redistributed and/or modified, at your choice, Note that this is an OR, not an AND. You do not need to conform to both licenses, you just pick the one that you prefer. Typically, GPL projects will regard Eigen as GPL-licensed while non-GPL projects will regard Eigen as LGPL-licensed. Short licensing FAQ: Question: Why not just license under the LGPL, since anyway it is more liberal than the GPL?
Answer: A library licensed under the LGPL3 cannot be used by a program licensed under the GPL2 (see here for details). Therefore, we offer the GPL2 as an alternative license choice for Eigen, in order to allow GPL2 programs to use it. Question: Why require the LGPL version to be at least 3?
Answer: Because up to version 2.1, the LGPL does not handle the case of C++ template libraries, where all the code is in headers. This problem was solved in version 3 of the LGPL.

Features

WARNING: this alpha release is NOT feature complete -- far from it! It contains only the Core module, while several other modules are planned. Here are general features of Eigen and more specific features of the Core module:

To-do wiki

The To-do wiki for Eigen is here: http://techbase.kde.org/index.php?title=Projects/Eigen/TODO.

Compiler Support

Eigen is standard C++98 and so should theoretically be compatible with any compliant compiler. Of course, in practice, things might be slightly different. At least, Eigen is known to compile with any version of GCC from 3.3 to 4.3 as well as with recent versions of ICC. Eigen is well tested with recent versions of GCC and ICC. Both GCC 4.2 and ICC give very good performance. ICC might provide even better performance when the auto-vectorization makes sense. For some reason the performance is not so great with GCC 4.1. For best performance, we recommend the following compilation flags:

News

If you want to stay informed of Eigen news and releases, please subscribe to our mailing list. You can also browse the archive.

Download

The source code of the latest release is here: eigen-2.0-alpha4.tar.gz
Alternatively, you can checkout the development tree by anonymous svn, by doing:
svn co svn://anonsvn.kde.org/home/kde/branches/work/eigen2
or view it online at this address: http://websvn.kde.org/branches/work/eigen2

Relation to KDE

First of all: Eigen doesn't have any dependency. In particular, it doesn't depend on any part of KDE or on Qt.
Eigen is part of the KDE project, in the sense that: However, we quickly realized that Eigen could be useful for non-KDE projects, whence our decision to make sure that it has no dependency on KDE or Qt. Although Eigen itself doesn't have any dependency, the unit-tests require Qt.

Examples

There are a lot of small examples throughout the documentation. TODO: write more interesting, standalone "demos".

Applications using Eigen

TODO: update this section; make web links Currently: Kalzium, Avogadro, KSpread(a bit), Krita(a bit), KGLLib
Planned: much more use in KOffice 2.1, Step (if we make Eigen good enough!), OpenBabel (maybe) Please tell us if you know of other interesting projects using Eigen!

Credits

Contact us

The best way to contact us is by means of our mailing list.
IRC Channel: \#eigen on Freenode.
Website (you're here): http://eigen.tuxfamily.org

Mailing list

The Mailing list for Eigen is: eigen at lists tuxfamily org.
To subscribe, send a mail with subject "subscribe" to eigen-request at lists tuxfamily org.
To unsubscribe, send a mail with subject "unsubscribe" to eigen-request at lists tuxfamily org.
You can also browse the archive. */