How to Install and Uninstall libsplinter-3-0 Package on openSuSE Tumbleweed
Last updated: December 24,2024
1. Install "libsplinter-3-0" package
Please follow the guidelines below to install libsplinter-3-0 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libsplinter-3-0
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2. Uninstall "libsplinter-3-0" package
This guide covers the steps necessary to uninstall libsplinter-3-0 on openSuSE Tumbleweed:
$
sudo zypper remove
libsplinter-3-0
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3. Information about the libsplinter-3-0 package on openSuSE Tumbleweed
Information for package libsplinter-3-0:
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libsplinter-3-0
Version : 3.0-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 338.2 KiB
Installed : No
Status : not installed
Source package : splinter-3.0-3.1.src
Upstream URL : https://github.com/bgrimstad/splinter
Summary : A library for multivariate function approximation implemented in C++
Description :
SPLINTER (SPLine INTERpolation) is a library for multivariate function
approximation implemented in C++. The library can be used for function
approximation, regression and data smoothing. Currently,
the library contains the following implementations:
1. tensor product B-splines,
2. radial basis functions, including the thin plate spline, and
3. polynomial regression.
The coefficients in these models are computed using ordinary least
squares (OLS). The name of the library, SPLINTER, originates from the
tensor product B-spline implementation, which was the first of the
methods to be implemented.
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libsplinter-3-0
Version : 3.0-3.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 338.2 KiB
Installed : No
Status : not installed
Source package : splinter-3.0-3.1.src
Upstream URL : https://github.com/bgrimstad/splinter
Summary : A library for multivariate function approximation implemented in C++
Description :
SPLINTER (SPLine INTERpolation) is a library for multivariate function
approximation implemented in C++. The library can be used for function
approximation, regression and data smoothing. Currently,
the library contains the following implementations:
1. tensor product B-splines,
2. radial basis functions, including the thin plate spline, and
3. polynomial regression.
The coefficients in these models are computed using ordinary least
squares (OLS). The name of the library, SPLINTER, originates from the
tensor product B-spline implementation, which was the first of the
methods to be implemented.