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

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  1 Introduction
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  1.1 Overview over this manual
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  Chapter  1 is concerned with the technical details of installing and running
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  this   package.  Chapter  2  answers  the  question  why  and  how  the  GAP
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  functionality  concerning  a  sparse matrix type and gaussian algorithms was
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  extended.  The  following  chapters  are  concerned with the workings of the
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  sparse  matrix  type  (3)  and sparse Gaussian algorithms (4). 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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  Anyone  interested  in  source  code  should just check out the files in the
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  gap/pkg/Gauss/gap/ folder (--> Appendix A).
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  1.2 Installation of the Gauss Package
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  To  install  this package just extract the package's archive file to the GAP
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  pkg/  directory.  The  Gauss package utilizes some C-code by Max Neunhoeffer
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  that  has  to  be  compiled  before you can load Gauss. To compile the code,
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  first  run  ./configure.  If  the  package  is  not  installed  in  the pkg/
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  subdirectory  of  GAP's  root directory you will need to provide the correct
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  path  to  the latter. This will create a makefile. Complete the installation
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  of the package by running make. Recompiling the documentation is possible by
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  the  command  make  doc  in  the  Gauss  directory,  but  this should not be
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  necessary.
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  By  default  the Gauss package is not automatically loaded by GAP when it is
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  installed.  You  must load the package with LoadPackage("Gauss"); before its
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  functions  become  available.  Please,  send  me  an  e-mail if you have any
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  questions,  remarks,  suggestions, etc. concerning Gauss. Also, I would like
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  to hear about applications of this package.
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  Simon Goertzen
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