How to Install and Uninstall lrslib.x86_64 Package on Fedora 38
Last updated: October 11,2024
1. Install "lrslib.x86_64" package
Please follow the guidelines below to install lrslib.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
lrslib.x86_64
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2. Uninstall "lrslib.x86_64" package
This guide covers the steps necessary to uninstall lrslib.x86_64 on Fedora 38:
$
sudo dnf remove
lrslib.x86_64
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$
sudo dnf autoremove
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3. Information about the lrslib.x86_64 package on Fedora 38
Last metadata expiration check: 2:20:41 ago on Sun Mar 17 04:59:58 2024.
Available Packages
Name : lrslib
Version : 7.2
Release : 3.fc38
Architecture : x86_64
Size : 161 k
Source : lrslib-7.2-3.fc38.src.rpm
Repository : fedora
Summary : Reverse search for vertex enumeration/convex hull problems
URL : http://cgm.cs.mcgill.ca/~avis/C/lrs.html
License : GPL-2.0-or-later
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 : 7.2
Release : 3.fc38
Architecture : x86_64
Size : 161 k
Source : lrslib-7.2-3.fc38.src.rpm
Repository : fedora
Summary : Reverse search for vertex enumeration/convex hull problems
URL : http://cgm.cs.mcgill.ca/~avis/C/lrs.html
License : GPL-2.0-or-later
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.