How to Install and Uninstall octave-forge-queueing Package on openSuSE Tumbleweed
Last updated: November 12,2024
1. Install "octave-forge-queueing" package
This is a short guide on how to install octave-forge-queueing on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
octave-forge-queueing
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2. Uninstall "octave-forge-queueing" package
Here is a brief guide to show you how to uninstall octave-forge-queueing on openSuSE Tumbleweed:
$
sudo zypper remove
octave-forge-queueing
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3. Information about the octave-forge-queueing package on openSuSE Tumbleweed
Information for package octave-forge-queueing:
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Repository : openSUSE-Tumbleweed-Oss
Name : octave-forge-queueing
Version : 1.2.7-1.14
Arch : noarch
Vendor : openSUSE
Installed Size : 1.9 MiB
Installed : No
Status : not installed
Source package : octave-forge-queueing-1.2.7-1.14.src
Upstream URL : https://octave.sourceforge.io
Summary : Queueing Networks and Markov chains analysis for Octave
Description :
Functions for queueing networks and Markov chains analysis.
This package can be used to compute steady-state performance measures
for open, closed and mixed networks with single or multiple job classes.
Mean Value Analysis (MVA), convolution, and various bounding techniques are
implemented. Furthermore, several transient and steady-state performance
measures for Markov chains can be computed, such as state occupancy
probabilities, mean time to absorption, time-averaged sojourn times
and so forth. Discrete- and continuous-time Markov chains are supported.
This is part of the Octave-Forge project.
----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : octave-forge-queueing
Version : 1.2.7-1.14
Arch : noarch
Vendor : openSUSE
Installed Size : 1.9 MiB
Installed : No
Status : not installed
Source package : octave-forge-queueing-1.2.7-1.14.src
Upstream URL : https://octave.sourceforge.io
Summary : Queueing Networks and Markov chains analysis for Octave
Description :
Functions for queueing networks and Markov chains analysis.
This package can be used to compute steady-state performance measures
for open, closed and mixed networks with single or multiple job classes.
Mean Value Analysis (MVA), convolution, and various bounding techniques are
implemented. Furthermore, several transient and steady-state performance
measures for Markov chains can be computed, such as state occupancy
probabilities, mean time to absorption, time-averaged sojourn times
and so forth. Discrete- and continuous-time Markov chains are supported.
This is part of the Octave-Forge project.