How to Install and Uninstall ergo.x86_64 Package on Fedora 36

Last updated: November 26,2024

1. Install "ergo.x86_64" package

Here is a brief guide to show you how to install ergo.x86_64 on Fedora 36


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                ergo.x86_64
            
                    
    
    Copied

2. Uninstall "ergo.x86_64" package

Here is a brief guide to show you how to uninstall ergo.x86_64 on Fedora 36:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                ergo.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the ergo.x86_64 package on Fedora 36

Last metadata expiration check: 3:34:47 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : ergo
Version : 3.8
Release : 10.fc36
Architecture : x86_64
Size : 1.5 M
Source : ergo-3.8-10.fc36.src.rpm
Repository : fedora
Summary : A program for large-scale self-consistent field calculations
URL : http://www.ergoscf.org
License : GPLv3+
Description : Ergo is a quantum chemistry program for large-scale self-consistent
: field calculations.
:
: Key features of the Ergo program:
: * Performs electronic structure calculations using Hartree-Fock and
: Kohn-Sham density functional theory.
: * Uses Gaussian basis sets.
: * Both core and valence electrons are included in the calculations.
: * Both restricted and unrestricted models are implemented for energy
: calculations.
: * Implements a broad range of both pure and hybrid Kohn-Sham density
: functionals.
: * Employs modern linear scaling techniques like fast multipole
: methods, hierarchic sparse matrix algebra, density matrix
: purification, and efficient integral screening.
: * Linear scaling is achieved not only in terms of CPU usage but also
: memory utilization.
: * The time consuming parts of the code are currently parallelized
: using the shared-memory paradigm.
:
: Linear response calculations of polarizabilities and excitation energies are
: possible for the restricted reference density, although complete linear scaling
: is in the current implementation not achieved since full dense matrices are
: still used in parts of the linear response implementation.