How to Install and Uninstall metis_5_1_0-gnu-hpc-doc Package on openSUSE Leap
Last updated: November 23,2024
1. Install "metis_5_1_0-gnu-hpc-doc" package
Learn how to install metis_5_1_0-gnu-hpc-doc on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
metis_5_1_0-gnu-hpc-doc
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2. Uninstall "metis_5_1_0-gnu-hpc-doc" package
Please follow the guidance below to uninstall metis_5_1_0-gnu-hpc-doc on openSUSE Leap:
$
sudo zypper remove
metis_5_1_0-gnu-hpc-doc
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3. Information about the metis_5_1_0-gnu-hpc-doc package on openSUSE Leap
Information for package metis_5_1_0-gnu-hpc-doc:
------------------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : metis_5_1_0-gnu-hpc-doc
Version : 5.1.0-150100.9.5.2
Arch : noarch
Vendor : SUSE LLC
Installed Size : 347.0 KiB
Installed : No
Status : not installed
Source package : metis_5_1_0-gnu-hpc-5.1.0-150100.9.5.2.src
Upstream URL : http://glaros.dtc.umn.edu/gkhome/metis/metis/overview
Summary : Metis documentation
Description :
METIS is a family of programs for partitioning unstructured graphs and hypergraph
and computing fill-reducing orderings of sparse matrices. The underlying algorithms
used by METIS are based on a multilevel paradigm that, at the time, had been
shown to produce quality results and scale to large problems.
------------------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : metis_5_1_0-gnu-hpc-doc
Version : 5.1.0-150100.9.5.2
Arch : noarch
Vendor : SUSE LLC
Installed Size : 347.0 KiB
Installed : No
Status : not installed
Source package : metis_5_1_0-gnu-hpc-5.1.0-150100.9.5.2.src
Upstream URL : http://glaros.dtc.umn.edu/gkhome/metis/metis/overview
Summary : Metis documentation
Description :
METIS is a family of programs for partitioning unstructured graphs and hypergraph
and computing fill-reducing orderings of sparse matrices. The underlying algorithms
used by METIS are based on a multilevel paradigm that, at the time, had been
shown to produce quality results and scale to large problems.