How to Install and Uninstall coin-or-DyLP.x86_64 Package on Fedora 35
Last updated: May 03,2024
1. Install "coin-or-DyLP.x86_64" package
In this section, we are going to explain the necessary steps to install coin-or-DyLP.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
coin-or-DyLP.x86_64
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2. Uninstall "coin-or-DyLP.x86_64" package
Here is a brief guide to show you how to uninstall coin-or-DyLP.x86_64 on Fedora 35:
$
sudo dnf remove
coin-or-DyLP.x86_64
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$
sudo dnf autoremove
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3. Information about the coin-or-DyLP.x86_64 package on Fedora 35
Last metadata expiration check: 5:37:40 ago on Wed Sep 7 02:25:42 2022.
Available Packages
Name : coin-or-DyLP
Version : 1.10.4
Release : 6.fc35
Architecture : x86_64
Size : 312 k
Source : coin-or-DyLP-1.10.4-6.fc35.src.rpm
Repository : fedora
Summary : Implementation of the dynamic simplex algorithm
URL : http://projects.coin-or.org/DyLP
License : EPL-1.0
Description : DyLP is an implementation of the dynamic simplex algorithm. Briefly, dynamic
: simplex attempts to work with an active constraint system which is a subset
: of the full constraint system. It alternates between primal and dual simplex
: phases. Between simplex phases, it deactivates variables and constraints
: which are not currently useful, and scans the full constraint system to
: activate variables and constraints which have become useful.
Available Packages
Name : coin-or-DyLP
Version : 1.10.4
Release : 6.fc35
Architecture : x86_64
Size : 312 k
Source : coin-or-DyLP-1.10.4-6.fc35.src.rpm
Repository : fedora
Summary : Implementation of the dynamic simplex algorithm
URL : http://projects.coin-or.org/DyLP
License : EPL-1.0
Description : DyLP is an implementation of the dynamic simplex algorithm. Briefly, dynamic
: simplex attempts to work with an active constraint system which is a subset
: of the full constraint system. It alternates between primal and dual simplex
: phases. Between simplex phases, it deactivates variables and constraints
: which are not currently useful, and scans the full constraint system to
: activate variables and constraints which have become useful.