How to Install and Uninstall libcsparse3 Package on openSUSE Leap

Last updated: November 27,2024

1. Install "libcsparse3" package

Please follow the guidance below to install libcsparse3 on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                libcsparse3
            
                    
    
    Copied

2. Uninstall "libcsparse3" package

Please follow the instructions below to uninstall libcsparse3 on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                libcsparse3
            
                    
    
    Copied

3. Information about the libcsparse3 package on openSUSE Leap

Information for package libcsparse3:
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Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : libcsparse3
Version : 3.2.0-150100.9.2.3
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 106.9 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 : Instructional Sparse Matrix Package
Description :
CSparse is a small yet feature-rich sparse matrix package written
specifically for a book. The purpose of the package is to demonstrate
a wide range of sparse matrix algorithms in as concise a code as
possible. CSparse is about 2,200 lines long (excluding its MATLAB
interface, demo codes, and test codes), yet it contains algorithms
(either asympotical optimal or fast in practice) for all of the
following functions described below. A MATLAB interface is included.
Note that the LU and Cholesky factorization algorithms are not as
fast as UMFPACK or CHOLMOD. Other functions have comparable
performance as their MATLAB equivalents (some are faster).
Documentation is very terse in the code; it is fully documented in
the book. Some indication of how to call the C functions in CSparse
is given by the CSparse/MATLAB/*.m help files.
CSparse is part of the SuiteSparse sparse matrix suite.