How to Install and Uninstall libccolamd2 Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "libccolamd2" package

Please follow the steps below to install libccolamd2 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libccolamd2
            
                    
    
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2. Uninstall "libccolamd2" package

Please follow the guidance below to uninstall libccolamd2 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libccolamd2
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libccolamd2 package on Ubuntu 21.10 (Impish Indri)

Package: libccolamd2
Architecture: amd64
Version: 1:5.8.1+dfsg-2
Multi-Arch: same
Priority: optional
Section: libs
Source: suitesparse
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 83
Depends: libc6 (>= 2.4), libsuitesparseconfig5 (>= 1:5.0.0)
Filename: pool/main/s/suitesparse/libccolamd2_5.8.1+dfsg-2_amd64.deb
Size: 23520
MD5sum: 8667fda59e5e978bee50d96ec7e278ae
SHA1: 5131bcfc8b83421455f106b686b5eee26562eee1
SHA256: 17702b58e7d45bf3ecc437adbf50add576174f357a250512a2247002a25c1643
SHA512: 2c02a0c8fec6c853bc40bac32fe20ed16afc7f9b7d93539b0101bcfdc98c53487a63704458ba521d074c4d311dda8d49f84600be53c408c7f8619f229a0f6e75
Homepage: http://suitesparse.com
Description-en: constrained column approximate library for sparse matrices
Suitesparse is a collection of libraries for computations involving
sparse matrices.
.
The CCOLAMD library implements the "Constrained COLumn Approximate Minimum
Degree ordering" algorithm. It computes a permutation vector P such that the
LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky
factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that
of A'*A.
Description-md5: 7837a1290ee0cf3371ba8acb52f1427a
Task: xubuntu-desktop, ubuntustudio-publishing, ubuntustudio-photography, ubuntustudio-graphics