How to Install and Uninstall libarmadillo12 Package on openSuSE Tumbleweed
Last updated: December 29,2024
1. Install "libarmadillo12" package
In this section, we are going to explain the necessary steps to install libarmadillo12 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libarmadillo12
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2. Uninstall "libarmadillo12" package
Here is a brief guide to show you how to uninstall libarmadillo12 on openSuSE Tumbleweed:
$
sudo zypper remove
libarmadillo12
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3. Information about the libarmadillo12 package on openSuSE Tumbleweed
Information for package libarmadillo12:
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Repository : openSUSE-Tumbleweed-Oss
Name : libarmadillo12
Version : 12.8.0-1.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 74.0 KiB
Installed : No
Status : not installed
Source package : armadillo-12.8.0-1.1.src
Upstream URL : https://arma.sourceforge.net/
Summary : C++ matrix library with interfaces to LAPACK and ATLAS
Description :
Armadillo is a C++ linear algebra library (matrix maths).
Integer, floating point and complex numbers are supported,
as well as a subset of trigonometric and statistics functions.
Various matrix decompositions are provided through optional
integration with LAPACK and ATLAS libraries.
A delayed evaluation approach is employed (during compile time)
to combine several operations into one and reduce (or eliminate)
the need for temporaries. This is accomplished through recursive
templates and template meta-programming.
This package provides the shared libraries for armadillo.
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libarmadillo12
Version : 12.8.0-1.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 74.0 KiB
Installed : No
Status : not installed
Source package : armadillo-12.8.0-1.1.src
Upstream URL : https://arma.sourceforge.net/
Summary : C++ matrix library with interfaces to LAPACK and ATLAS
Description :
Armadillo is a C++ linear algebra library (matrix maths).
Integer, floating point and complex numbers are supported,
as well as a subset of trigonometric and statistics functions.
Various matrix decompositions are provided through optional
integration with LAPACK and ATLAS libraries.
A delayed evaluation approach is employed (during compile time)
to combine several operations into one and reduce (or eliminate)
the need for temporaries. This is accomplished through recursive
templates and template meta-programming.
This package provides the shared libraries for armadillo.