How to Install and Uninstall armadillo.i686 Package on Fedora 34

Last updated: July 01,2024

1. Install "armadillo.i686" package

This guide covers the steps necessary to install armadillo.i686 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                armadillo.i686
            
                    
    
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2. Uninstall "armadillo.i686" package

Please follow the instructions below to uninstall armadillo.i686 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                armadillo.i686
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the armadillo.i686 package on Fedora 34

Last metadata expiration check: 2:28:45 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : armadillo
Version : 10.8.2
Release : 1.fc34
Architecture : i686
Size : 42 k
Source : armadillo-10.8.2-1.fc34.src.rpm
Repository : updates
Summary : Fast C++ matrix library with syntax similar to MATLAB and Octave
URL : http://arma.sourceforge.net/
License : ASL 2.0
Description : Armadillo is a C++ linear algebra library (matrix maths)
: aiming towards a good balance between speed and ease of use.
: Integer, floating point and complex numbers are supported,
: as well as a subset of trigonometric and statistics functions.
: Various matrix decompositions are provided through optional
: integration with LAPACK and ATLAS libraries.
: A delayed evaluation approach is employed (during compile time)
: to combine several operations into one and reduce (or eliminate)
: the need for temporaries. This is accomplished through recursive
: templates and template meta-programming.
: This library is useful if C++ has been decided as the language
: of choice (due to speed and/or integration capabilities), rather
: than another language like Matlab or Octave.