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

Last updated: October 05,2024

1. Install "octave.x86_64" package

In this section, we are going to explain the necessary steps to install octave.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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            $
        

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

Please follow the guidance below to uninstall octave.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                octave.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

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

Last metadata expiration check: 0:53:30 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : octave
Epoch : 6
Version : 5.2.0
Release : 12.fc34
Architecture : x86_64
Size : 16 M
Source : octave-5.2.0-12.fc34.src.rpm
Repository : updates
Summary : A high-level language for numerical computations
URL : http://www.octave.org
License : GPLv3+
Description : GNU Octave is a high-level language, primarily intended for numerical
: computations. It provides a convenient command line interface for
: solving linear and nonlinear problems numerically, and for performing
: other numerical experiments using a language that is mostly compatible
: with Matlab. It may also be used as a batch-oriented language. Octave
: has extensive tools for solving common numerical linear algebra
: problems, finding the roots of nonlinear equations, integrating
: ordinary functions, manipulating polynomials, and integrating ordinary
: differential and differential-algebraic equations. It is easily
: extensible and customizable via user-defined functions written in
: Octave's own language, or using dynamically loaded modules written in
: C++, C, Fortran, or other languages.