How to Install and Uninstall lrslib.i686 Package on Fedora 35
Last updated: October 09,2024
1. Install "lrslib.i686" package
This tutorial shows how to install lrslib.i686 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
lrslib.i686
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2. Uninstall "lrslib.i686" package
Here is a brief guide to show you how to uninstall lrslib.i686 on Fedora 35:
$
sudo dnf remove
lrslib.i686
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$
sudo dnf autoremove
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3. Information about the lrslib.i686 package on Fedora 35
Last metadata expiration check: 5:34:46 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : lrslib
Version : 7.1b
Release : 2.fc35
Architecture : i686
Size : 113 k
Source : lrslib-7.1b-2.fc35.src.rpm
Repository : fedora
Summary : Reverse search for vertex enumeration/convex hull problems
URL : http://cgm.cs.mcgill.ca/~avis/C/lrs.html
License : GPLv2+
Description : lrslib is a self-contained ANSI C implementation as a callable library
: of the reverse search algorithm for vertex enumeration/convex hull
: problems and comes with a choice of three arithmetic packages. Input
: file formats are compatible with Komei Fukuda's cdd package (cddlib).
: All computations are done exactly in either multiple precision or fixed
: integer arithmetic. Output is not stored in memory, so even problems
: with very large output sizes can sometimes be solved.
Available Packages
Name : lrslib
Version : 7.1b
Release : 2.fc35
Architecture : i686
Size : 113 k
Source : lrslib-7.1b-2.fc35.src.rpm
Repository : fedora
Summary : Reverse search for vertex enumeration/convex hull problems
URL : http://cgm.cs.mcgill.ca/~avis/C/lrs.html
License : GPLv2+
Description : lrslib is a self-contained ANSI C implementation as a callable library
: of the reverse search algorithm for vertex enumeration/convex hull
: problems and comes with a choice of three arithmetic packages. Input
: file formats are compatible with Komei Fukuda's cdd package (cddlib).
: All computations are done exactly in either multiple precision or fixed
: integer arithmetic. Output is not stored in memory, so even problems
: with very large output sizes can sometimes be solved.