How to Install and Uninstall libldl2 Package on openSUSE Leap
Last updated: November 22,2024
1. Install "libldl2" package
Please follow the instructions below to install libldl2 on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
libldl2
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2. Uninstall "libldl2" package
In this section, we are going to explain the necessary steps to uninstall libldl2 on openSUSE Leap:
$
sudo zypper remove
libldl2
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3. Information about the libldl2 package on openSUSE Leap
Information for package libldl2:
--------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : libldl2
Version : 2.2.6-150100.9.2.3
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 186.7 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 : 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.
--------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : libldl2
Version : 2.2.6-150100.9.2.3
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 186.7 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 : 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.