How to Install and Uninstall arpack.x86_64 Package on Fedora 38
Last updated: October 12,2024
1. Install "arpack.x86_64" package
Please follow the guidance below to install arpack.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
arpack.x86_64
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2. Uninstall "arpack.x86_64" package
Please follow the guidance below to uninstall arpack.x86_64 on Fedora 38:
$
sudo dnf remove
arpack.x86_64
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$
sudo dnf autoremove
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3. Information about the arpack.x86_64 package on Fedora 38
Last metadata expiration check: 0:47:05 ago on Sun Mar 17 04:59:58 2024.
Available Packages
Name : arpack
Version : 3.8.0
Release : 6.fc38
Architecture : x86_64
Size : 206 k
Source : arpack-3.8.0-6.fc38.src.rpm
Repository : fedora
Summary : Fortran 77 subroutines for solving large scale eigenvalue problems
URL : https://github.com/opencollab/arpack-ng
License : BSD
Description : ARPACK is a collection of Fortran 77 subroutines designed to solve large
: scale eigenvalue problems.
:
: The package is designed to compute a few eigenvalues and corresponding
: eigenvectors of a general n by n matrix A. It is most appropriate for
: large sparse or structured matrices A where structured means that a
: matrix-vector product w <- Av requires order n rather than the usual
: order n**2 floating point operations. This software is based upon an
: algorithmic variant of the Arnoldi process called the Implicitly
: Restarted Arnoldi Method (IRAM).
Available Packages
Name : arpack
Version : 3.8.0
Release : 6.fc38
Architecture : x86_64
Size : 206 k
Source : arpack-3.8.0-6.fc38.src.rpm
Repository : fedora
Summary : Fortran 77 subroutines for solving large scale eigenvalue problems
URL : https://github.com/opencollab/arpack-ng
License : BSD
Description : ARPACK is a collection of Fortran 77 subroutines designed to solve large
: scale eigenvalue problems.
:
: The package is designed to compute a few eigenvalues and corresponding
: eigenvectors of a general n by n matrix A. It is most appropriate for
: large sparse or structured matrices A where structured means that a
: matrix-vector product w <- Av requires order n rather than the usual
: order n**2 floating point operations. This software is based upon an
: algorithmic variant of the Arnoldi process called the Implicitly
: Restarted Arnoldi Method (IRAM).