How to Install and Uninstall cddlib.x86_64 Package on Fedora 34

Last updated: October 04,2024

1. Install "cddlib.x86_64" package

This guide let you learn how to install cddlib.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                cddlib.x86_64
            
                    
    
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2. Uninstall "cddlib.x86_64" package

In this section, we are going to explain the necessary steps to uninstall cddlib.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                cddlib.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the cddlib.x86_64 package on Fedora 34

Last metadata expiration check: 5:09:25 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : cddlib
Epoch : 1
Version : 0.94m
Release : 1.fc34
Architecture : x86_64
Size : 148 k
Source : cddlib-0.94m-1.fc34.src.rpm
Repository : fedora
Summary : A library for generating all vertices in convex polyhedrons
URL : https://www.inf.ethz.ch/personal/fukudak/cdd_home/
License : GPLv2+
Description : The C-library cddlib is a C implementation of the Double Description
: Method of Motzkin et al. for generating all vertices (i.e. extreme points)
: and extreme rays of a general convex polyhedron in R^d given by a system
: of linear inequalities:
:
: P = { x=(x1, ..., xd)^T : b - A x >= 0 }
:
: where A is a given m x d real matrix, b is a given m-vector
: and 0 is the m-vector of all zeros.
:
: The program can be used for the reverse operation (i.e. convex hull
: computation). This means that one can move back and forth between
: an inequality representation and a generator (i.e. vertex and ray)
: representation of a polyhedron with cdd. Also, cdd can solve a linear
: programming problem, i.e. a problem of maximizing and minimizing
: a linear function over P.