How to Install and Uninstall armadillo.x86_64 Package on Red Hat Enterprise Linux 9 (RHEL 9)

Last updated: November 26,2024

1. Install "armadillo.x86_64" package

This guide let you learn how to install armadillo.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9)


    
        
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                sudo dnf update
            
                    
    
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            $
        

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

This is a short guide on how to uninstall armadillo.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9):


    
        
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                sudo dnf remove
            
                        
                armadillo.x86_64
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the armadillo.x86_64 package on Red Hat Enterprise Linux 9 (RHEL 9)

Last metadata expiration check: 2:03:48 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : armadillo
Version : 12.6.6
Release : 1.el9
Architecture : x86_64
Size : 31 k
Source : armadillo-12.6.6-1.el9.src.rpm
Repository : epel
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.