How to Install and Uninstall octave-forge-stk Package on openSUSE Leap
Last updated: November 22,2024
1. Install "octave-forge-stk" package
Please follow the guidelines below to install octave-forge-stk on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
octave-forge-stk
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2. Uninstall "octave-forge-stk" package
Please follow the instructions below to uninstall octave-forge-stk on openSUSE Leap:
$
sudo zypper remove
octave-forge-stk
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3. Information about the octave-forge-stk package on openSUSE Leap
Information for package octave-forge-stk:
-----------------------------------------
Repository : Main Repository
Name : octave-forge-stk
Version : 2.8.0-bp155.1.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 2.0 MiB
Installed : No
Status : not installed
Source package : octave-forge-stk-2.8.0-bp155.1.6.src
Upstream URL : https://gnu-octave.github.io/packages/stk/
Summary : Small Octave Toolbox for Kriging
Description :
The STK is a (not so) Small Toolbox for Kriging. Its primary focus
in on the interpolation/regression technique known as kriging, which
is very closely related to Splines and Radial Basis Functions, and can be
interpreted as a non-parametric Bayesian method using a Gaussian Process
(GP) prior. The STK also provides tools for the sequential and
non-sequential design of experiments. Even though it is, currently, mostly
geared towards the Design and Analysis of Computer Experiments (DACE), the
STK can be useful for other applications areas (such as Geostatistics,
Machine Learning, Non-parametric Regression, etc.).
This is part of Octave-Forge project.
-----------------------------------------
Repository : Main Repository
Name : octave-forge-stk
Version : 2.8.0-bp155.1.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 2.0 MiB
Installed : No
Status : not installed
Source package : octave-forge-stk-2.8.0-bp155.1.6.src
Upstream URL : https://gnu-octave.github.io/packages/stk/
Summary : Small Octave Toolbox for Kriging
Description :
The STK is a (not so) Small Toolbox for Kriging. Its primary focus
in on the interpolation/regression technique known as kriging, which
is very closely related to Splines and Radial Basis Functions, and can be
interpreted as a non-parametric Bayesian method using a Gaussian Process
(GP) prior. The STK also provides tools for the sequential and
non-sequential design of experiments. Even though it is, currently, mostly
geared towards the Design and Analysis of Computer Experiments (DACE), the
STK can be useful for other applications areas (such as Geostatistics,
Machine Learning, Non-parametric Regression, etc.).
This is part of Octave-Forge project.