How to Install and Uninstall libcolamd2 Package on openSuSE Tumbleweed
Last updated: January 23,2025
Deprecated! Installation of this package may no longer be supported.
1. Install "libcolamd2" package
Please follow the step by step instructions below to install libcolamd2 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libcolamd2
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2. Uninstall "libcolamd2" package
This tutorial shows how to uninstall libcolamd2 on openSuSE Tumbleweed:
$
sudo zypper remove
libcolamd2
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3. Information about the libcolamd2 package on openSuSE Tumbleweed
Information for package libcolamd2:
-----------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libcolamd2
Version : 2.9.6-49.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 68.2 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 : 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.
-----------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libcolamd2
Version : 2.9.6-49.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 68.2 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 : 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.