How to Install and Uninstall libcolpack-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "libcolpack-dev" package

This is a short guide on how to install libcolpack-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcolpack-dev
            
                    
    
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2. Uninstall "libcolpack-dev" package

Learn how to uninstall libcolpack-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcolpack-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcolpack-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcolpack-dev
Architecture: amd64
Version: 1.0.10-5
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: colpack
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3892
Depends: libcolpack0v5 (= 1.0.10-5)
Filename: pool/universe/c/colpack/libcolpack-dev_1.0.10-5_amd64.deb
Size: 404444
MD5sum: 99a350dd72bc0129a30621d3696970f9
SHA1: 1a0e6cdecdb8f367d94cba2e2d28c308f96fc4d1
SHA256: c34d2fd5adb79023f58057120cf6da48a33400aebdca75c7fadaf481426f21ea
SHA512: e3662f4e645b92a0a9ba3fbab771d9e830ae2247377b6fa6a44e110a7fb61a57ddeaa3309fc527d725bcd9be9c343f5214fd470d131755cf5bd3ed0eb59de45b
Homepage: https://cscapes.cs.purdue.edu/coloringpage/
Description-en: Specialized graph vertex coloring library, development files
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 development library, header files, and
documentation.
Description-md5: 3cd5fea960bce88a6ed8fe1cda3cf39c