How to Install and Uninstall libcolpack0v5 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 15,2024

1. Install "libcolpack0v5" package

This guide let you learn how to install libcolpack0v5 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcolpack0v5
            
                    
    
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2. Uninstall "libcolpack0v5" package

Please follow the step by step instructions below to uninstall libcolpack0v5 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcolpack0v5
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcolpack0v5 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcolpack0v5
Architecture: amd64
Version: 1.0.10-5
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: colpack
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 805
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2)
Conflicts: libcolpack0
Replaces: libcolpack0
Filename: pool/universe/c/colpack/libcolpack0v5_1.0.10-5_amd64.deb
Size: 248220
MD5sum: be210ba9182c4f433db89ea352459e7c
SHA1: 9b4f231f62d70649a5f5a7550c0c33720df11675
SHA256: ef3f6730c23b3bfd04320c71bb0e1f162e101d6ae70b5fd849599a3b286b18f2
SHA512: c8091991cdc3389d8f182fc31cbd3fa0694354416dc570baba1b82cf02fd7b57598fca47c7a276d72bf1f519d69d3bbc95ebf79d72fdbd6607121f2b5da00de5
Homepage: https://cscapes.cs.purdue.edu/coloringpage/
Description-en: Specialized graph vertex coloring library, shared library
ColPack is a package comprising of implementation of algorithms for
specialized vertex coloring problems that arise in sparse derivative
computation. It is written in an object-oriented fashion heavily
using the Standard Template Library (STL). It is designed to be
simple, modular, extenable and efficient. Its primary application
has been for use in automatic differentiation.
.
This package contains the runtime library.
Description-md5: ce8c41393ac4ac3098ecef1288137ee9