GAP 4.8.9 installation with standard packages -- copy to your CoCalc project to get it

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                            The Gauss Package Manual
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                      Extended Gauss Functionality for GAP
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                               Version 2017.12.07
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                                   March 2013
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                                 Simon Goertzen
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  Simon Goertzen
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      Email:    mailto:[email protected]
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      Homepage: http://wwwb.math.rwth-aachen.de/goertzen/
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      Address:  Lehrstuhl B für Mathematik
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                Templergraben 64
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                52062 Aachen
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                (Germany)
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  -------------------------------------------------------
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  Abstract
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  This  document explains the primary uses of the Gauss package. Included is a
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  documented  list  of the most important methods and functions needed to work
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  with sparse matrices and the algorithms provided by the Gauss package.
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  -------------------------------------------------------
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  Copyright
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  © 2007-2013 by Simon Goertzen
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  This  package  may  be distributed under the terms and conditions of the GNU
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  Public License Version 2.
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  -------------------------------------------------------
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  Acknowledgements
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  The  Gauss  package  would  not  have  been  possible  without  the  helpful
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  contributions by
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      Max Neunhöffer, University of St Andrews, and
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      Mohamed Barakat, Lehrstuhl B für Mathematik, RWTH Aachen.
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  Many  thanks  to these two and the Lehrstuhl B für Mathematik in general. It
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  should  be  noted  that  the  GAP  algorithms  for SemiEchelonForm and other
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  methods formed an important and informative basis for the development of the
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  extended  Gaussian  algorithms. This manual was created with the help of the
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  GAPDoc package by F. Lübeck and M. Neunhöffer [LN08].
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  -------------------------------------------------------
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  Contents (Gauss)
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  1 Introduction
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    1.1 Overview over this manual
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    1.2 Installation of the Gauss Package
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  2 Extending Gauss Functionality
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    2.1 The need for extended functionality
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    2.2 The applications of the Gauss package algorithms
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  3 The Sparse Matrix Data Type
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    3.1 The inner workings of Gauss sparse matrices
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      3.1-1 A special case: GF(2)
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    3.2 Methods and functions for sparse matrices
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      3.2-1 SparseMatrix
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      3.2-2 ConvertSparseMatrixToMatrix
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      3.2-3 CopyMat
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      3.2-4 GetEntry
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      3.2-5 SetEntry
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      3.2-6 AddToEntry
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      3.2-7 SparseZeroMatrix
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      3.2-8 SparseIdentityMatrix
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      3.2-9 TransposedSparseMat
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      3.2-10 CertainRows
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      3.2-11 CertainColumns
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      3.2-12 UnionOfRows
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      3.2-13 UnionOfColumns
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      3.2-14 SparseDiagMat
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      3.2-15 Nrows
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      3.2-16 Ncols
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      3.2-17 IndicesOfSparseMatrix
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      3.2-18 EntriesOfSparseMatrix
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      3.2-19 RingOfDefinition
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  4 Gaussian Algorithms
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    4.1 A list of the available algorithms
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    4.2 Methods and Functions for Gaussian algorithms
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      4.2-1 EchelonMat
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      4.2-2 EchelonMatTransformation
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      4.2-3 ReduceMat
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      4.2-4 ReduceMatTransformation
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      4.2-5 KernelMat
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      4.2-6 Rank
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  A An Overview of the Gauss package source code
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