How to Install and Uninstall libsplinter-3-0 Package on openSUSE Leap
Last updated: November 23,2024
1. Install "libsplinter-3-0" package
Please follow the instructions below to install libsplinter-3-0 on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
libsplinter-3-0
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2. Uninstall "libsplinter-3-0" package
Please follow the guidelines below to uninstall libsplinter-3-0 on openSUSE Leap:
$
sudo zypper remove
libsplinter-3-0
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3. Information about the libsplinter-3-0 package on openSUSE Leap
Information for package libsplinter-3-0:
----------------------------------------
Repository : Main Repository
Name : libsplinter-3-0
Version : 3.0-bp155.2.11
Arch : x86_64
Vendor : openSUSE
Installed Size : 418.1 KiB
Installed : No
Status : not installed
Source package : splinter-3.0-bp155.2.11.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 : Main Repository
Name : libsplinter-3-0
Version : 3.0-bp155.2.11
Arch : x86_64
Vendor : openSUSE
Installed Size : 418.1 KiB
Installed : No
Status : not installed
Source package : splinter-3.0-bp155.2.11.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.