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

Last updated: July 01,2024

1. Install "vinci.x86_64" package

Please follow the steps below to install vinci.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                vinci.x86_64
            
                    
    
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2. Uninstall "vinci.x86_64" package

Please follow the instructions below to uninstall vinci.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                vinci.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the vinci.x86_64 package on Fedora 34

Last metadata expiration check: 5:46:04 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : vinci
Version : 1.0.5
Release : 20.fc34
Architecture : x86_64
Size : 184 k
Source : vinci-1.0.5-20.fc34.src.rpm
Repository : fedora
Summary : Algorithms for volume computation
URL : http://www.math.u-bordeaux1.fr/~aenge/index.php?category=software&page=vinci
License : GPL+
Description : The volume is one of the central properties of a convex body, and volume
: computation is involved in many hard problems. Applications range from
: rather classical ones as in convex optimization to problems in remote
: fields like algebraic geometry where the number of common roots of
: polynomials can be related to a special polytope volume.
:
: Part of the fascination of the subject stems from the discrepancy
: between the intuitive notion of "volume" and the actual hardness of
: computing it. Despite this discouraging complexity - algorithms in
: general need exponential time in the input dimension - steadily growing
: computer power enables us to attack problems of practical interest.
:
: Vinci is an easy to install C package that implements the state of the
: art algorithms for volume computation. It is the fruit of a research
: project carried out at the IFOR (Institute for Operations Research) at
: ETH Zürich, in collaboration with Benno Büeler and Komei Fukuda.