How to Install and Uninstall sharedmeataxe.x86_64 Package on Fedora 38

Last updated: November 14,2024

1. Install "sharedmeataxe.x86_64" package

This is a short guide on how to install sharedmeataxe.x86_64 on Fedora 38


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                sharedmeataxe.x86_64
            
                    
    
    Copied

2. Uninstall "sharedmeataxe.x86_64" package

Please follow the guidelines below to uninstall sharedmeataxe.x86_64 on Fedora 38:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                sharedmeataxe.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the sharedmeataxe.x86_64 package on Fedora 38

Last metadata expiration check: 2:43:35 ago on Sun Mar 17 04:59:58 2024.
Available Packages
Name : sharedmeataxe
Version : 1.0.1
Release : 3.fc38
Architecture : x86_64
Size : 292 k
Source : sharedmeataxe-1.0.1-3.fc38.src.rpm
Repository : fedora
Summary : Matrix representations over finite fields
URL : https://users.fmi.uni-jena.de/~king/SharedMeatAxe/
License : GPL-2.0-or-later
Description : The SharedMeatAxe is a dynamic (shared) library together with a set of
: programs for working with matrices over finite fields. It is a fork of
: the C MeatAxe, and differs from it mainly by the implementation of
: asymptotically fast matrix multiplication and by providing a dynamic
: (as opposed to static) library and an autotoolized build system.
:
: MeatAxe's primary purpose is the calculation of modular character
: tables, although it can be used for other purposes, such as
: investigating subgroup structure, module structure etc. Indeed, there
: is a set of programs to compute automatically the submodule lattice of
: a given module.
:
: The primitive objects are of two types: matrices and permutations.
: Permutation objects can be handled, but not as smoothly as you might
: expect. For example, it is hoped that programs such as split (zsp) and
: multiply (zmu) will be able to work with mixed types, but at present
: ZSP is restricted to matrices only, and ZMU can multiply a matrix by a
: permutation, but not vice versa.