How to Install and Uninstall libcolamd2 Package on openSUSE Leap

Last updated: May 02,2024

1. Install "libcolamd2" package

Please follow the guidance below to install libcolamd2 on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                libcolamd2
            
                    
    
    Copied

2. Uninstall "libcolamd2" package

Please follow the instructions below to uninstall libcolamd2 on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                libcolamd2
            
                    
    
    Copied

3. Information about the libcolamd2 package on openSUSE Leap

Information for package libcolamd2:
-----------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : libcolamd2
Version : 2.9.6-150100.9.2.3
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 68.3 KiB
Installed : No
Status : not installed
Source package : suitesparse-5.2.0-150100.9.2.3.src
Upstream URL : http://faculty.cse.tamu.edu/davis/SuiteSparse/
Summary : Column Approximate Minimum Degree
Description :
The COLAMD column approximate minimum degree ordering algorithm
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. SYMAMD is a symmetric minimum degree ordering
method based on COLAMD, available as a MATLAB-callable function. It
constructs a matrix M such that M'*M has the same pattern as A, and
then uses COLAMD to compute a column ordering of M. Colamd and symamd
tend to be faster and generate better orderings than their MATLAB
counterparts, colmmd and symmmd.
COLAMD is part of the SuiteSparse sparse matrix suite.