How to Install and Uninstall libldl2 Package on openSuSE Tumbleweed

Last updated: November 22,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "libldl2" package

Please follow the guidelines below to install libldl2 on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                libldl2
            
                    
    
    Copied

2. Uninstall "libldl2" package

Please follow the step by step instructions below to uninstall libldl2 on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                libldl2
            
                    
    
    Copied

3. Information about the libldl2 package on openSuSE Tumbleweed

Information for package libldl2:
--------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libldl2
Version : 2.2.6-49.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 50.8 KiB
Installed : No
Status : not installed
Source package : suitesparse-5.13.0-49.6.src
Upstream URL : https://people.engr.tamu.edu/davis/suitesparse.html
Summary : A Simple LDL^T Factorization
Description :
LDL is a set of concise routines for factorizing symmetric positive-
definite sparse matrices, with some applicability to symmetric
indefinite matrices. Its primary purpose is to illustrate much of the
basic theory of sparse matrix algorithms in as concise a code as
possible, including an elegant new method of sparse symmetric
factorization that computes the factorization row-by-row but stores
it column-by-column. The entire symbolic and numeric factorization
consists of a total of only 49 lines of code. The package is written
in C, and includes a MATLAB interface.
LDL is part of the SuiteSparse sparse matrix suite.