<?
xml version=
"1.0" encoding=
"UTF-8"?>
<!-- This is an automatically generated file. -->
<TitlePage>
<Title>
Gauss
</Title>
<Subtitle>
Extended Gauss functionality for &GAP;
</Subtitle>
<
Version>
2024.11-01
</
Version>
<Author>
Simon Görtzen<Alt Only=
"LaTeX"><Br/></Alt>
<Address>
Simon Görtzen<Br/>
Lehrstuhl B fuer Mathematik, RWTH Aachen<Br/>
Templergraben 64<Br/>
52062 Aachen<Br/>
Germany<Br/>
</Address>
<Email>simon.goertzen@rwth-aachen.de</Email>
<Homepage>
https://www.linkedin.com/in/simongoertzen/</Homepage>
</Author>
<Date>
3 December 2024
</Date>
<Abstract>
This document explains the primary uses of the &Gauss; package. Included is a documented list of the mos
t important methods and functions needed to work with sparse matrices and the algorithms provided by the &Gauss; package. <P/>
</Abstract>
<Copyright>
©right; 2007-2013 by Simon Goertzen<P/>
This package may be distributed under the terms and conditions of the GNU Public License Version 2 or (at your option) any later version.
</Copyright>
<Acknowledgements>
The &Gauss; package would not have been possible without the helpful contributions by <List><Item>Max Neunhöffer, University of St Andrews, and</Item><Item>Mohamed Barakat, Lehrstuhl B für Mathematik, RWTH Aachen.</Item></List>Many thanks to these two and the Lehrstuhl B für Mathematik in general. It should be noted that the &GAP; algorithms for <C>SemiEchelonForm</C> and other methods formed an important and informative basis for the development of the extended Gaussian algorithms. This manual was created with the help of the &GAPDoc; package by F. Lübeck and M. Neunhöffer <Cite Key="GAPDoc"/>.
</Acknowledgements>
</TitlePage>