How to Install and Uninstall libldl3 Package on openSuSE Tumbleweed
Last updated: November 27,2024
1. Install "libldl3" package
Learn how to install libldl3 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libldl3
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2. Uninstall "libldl3" package
Please follow the instructions below to uninstall libldl3 on openSuSE Tumbleweed:
$
sudo zypper remove
libldl3
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3. Information about the libldl3 package on openSuSE Tumbleweed
Information for package libldl3:
--------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libldl3
Version : 7.5.1-50.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 47.6 KiB
Installed : No
Status : not installed
Source package : suitesparse-7.5.1-50.1.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.
--------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libldl3
Version : 7.5.1-50.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 47.6 KiB
Installed : No
Status : not installed
Source package : suitesparse-7.5.1-50.1.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.