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<TitlePage>
  <Title>
    Gauss
  </Title>
  <Subtitle>
    Extended Gauss functionality for &GAP;
  </Subtitle>
  <Version>
    2022.11-01
  </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 November 2022
  </Date>
  <Abstract>
    This document explains the primary uses of the &Gauss; package. Included is a documented list of the most important methods and functions needed to work with sparse matrices and the algorithms provided by the &Gauss; package. <P/>
  </Abstract>
  <Copyright>
    &copyright; 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>