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

Last updated: January 12,2025

1. Install "elpa.x86_64" package

Please follow the guidelines below to install elpa.x86_64 on Fedora 34


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                elpa.x86_64
            
                    
    
    Copied

2. Uninstall "elpa.x86_64" package

Please follow the guidelines below to uninstall elpa.x86_64 on Fedora 34:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                elpa.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

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

Last metadata expiration check: 0:18:18 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : elpa
Version : 2021.05.002
Release : 1.fc34
Architecture : x86_64
Size : 566 k
Source : elpa-2021.05.002-1.fc34.src.rpm
Repository : updates
Summary : High-performance library for parallel solution of eigenvalue problems
URL : https://elpa.mpcdf.mpg.de/software
License : LGPLv3+
Description : ELPA is a Fortran-based high-performance computational library for the
: (massively) parallel solution of symmetric or Hermitian, standard or generalized
: eigenvalue problems.
:
: This is the kind of eigenvalue problem which is frequently encountered in
: Electronic Structure Theory (solution of Schrödinger's Equation or variants
: thereof), but also in many other fields. Typically, the solution effort scales
: as O(size^3), where "size" is a measure of the system size, for example the
: dimension of the associated matrices or the number of required
: eigenvalue/eigenvector pairs (less than or equal to the matrix dimension). Thus,
: an algebraically exact solution of the eigenproblem may quickly become the
: bottleneck in a practical application.