How to Install and Uninstall libptscotch-6.1 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 18,2024

1. Install "libptscotch-6.1" package

Here is a brief guide to show you how to install libptscotch-6.1 on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libptscotch-6.1
            
                    
    
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2. Uninstall "libptscotch-6.1" package

This is a short guide on how to uninstall libptscotch-6.1 on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libptscotch-6.1
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libptscotch-6.1 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libptscotch-6.1
Architecture: amd64
Version: 6.1.0-2
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: scotch
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3741
Depends: libbz2-1.0, libc6 (>= 2.17), liblzma5 (>= 5.1.1alpha+20120614), libopenmpi3 (>= 4.0.3), zlib1g (>= 1:1.1.4)
Filename: pool/universe/s/scotch/libptscotch-6.1_6.1.0-2_amd64.deb
Size: 613492
MD5sum: 195e532640b420683357c1a74f67b05a
SHA1: 2835769dcf3c0bdef24f6c5732dd2c5eccae13b5
SHA256: 625da45624f9e4f7b9897ef483dcc08758910117d63aa8c09d97613abfaa16ab
SHA512: c7dc031f0d9c65f5c711194db7c4617abc2875e4ac4b5dab080cffaf130be0c94e6287b53c4f072505a358aaebaeb026acdd138b4dfa3a09d6db13bcef24475a
Homepage: http://www.labri.fr/perso/pelegrin/scotch/
Description-en: MPI programs and libraries for graph, mesh and hypergraph partitioning
Shared libraries package for PT-SCOTCH, the MPI version of scotch, which
is a set of programs and libraries which implement the static mapping and
sparse matrix reordering algorithms developed within the SCOTCH project.
Description-md5: 4f6f275a40d71d2a070c51326b849b38