How to Install and Uninstall lapack.x86_64 Package on Fedora 39
Last updated: November 25,2024
1. Install "lapack.x86_64" package
Please follow the step by step instructions below to install lapack.x86_64 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
lapack.x86_64
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2. Uninstall "lapack.x86_64" package
This is a short guide on how to uninstall lapack.x86_64 on Fedora 39:
$
sudo dnf remove
lapack.x86_64
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$
sudo dnf autoremove
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3. Information about the lapack.x86_64 package on Fedora 39
Last metadata expiration check: 1:42:48 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : lapack
Version : 3.11.0
Release : 5.fc39
Architecture : x86_64
Size : 9.5 M
Source : lapack-3.11.0-5.fc39.src.rpm
Repository : fedora
Summary : Numerical linear algebra package libraries
URL : http://www.netlib.org/lapack/
License : BSD-3-Clause-Open-MPI
Description : LAPACK (Linear Algebra PACKage) is a standard library for numerical
: linear algebra. LAPACK provides routines for solving systems of
: simultaneous linear equations, least-squares solutions of linear
: systems of equations, eigenvalue problems, and singular value
: problems. Associated matrix factorizations (LU, Cholesky, QR, SVD,
: Schur, and generalized Schur) and related computations (i.e.,
: reordering of Schur factorizations and estimating condition numbers)
: are also included. LAPACK can handle dense and banded matrices, but
: not general sparse matrices. Similar functionality is provided for
: real and complex matrices in both single and double precision. LAPACK
: is coded in Fortran90 and built with gcc.
Available Packages
Name : lapack
Version : 3.11.0
Release : 5.fc39
Architecture : x86_64
Size : 9.5 M
Source : lapack-3.11.0-5.fc39.src.rpm
Repository : fedora
Summary : Numerical linear algebra package libraries
URL : http://www.netlib.org/lapack/
License : BSD-3-Clause-Open-MPI
Description : LAPACK (Linear Algebra PACKage) is a standard library for numerical
: linear algebra. LAPACK provides routines for solving systems of
: simultaneous linear equations, least-squares solutions of linear
: systems of equations, eigenvalue problems, and singular value
: problems. Associated matrix factorizations (LU, Cholesky, QR, SVD,
: Schur, and generalized Schur) and related computations (i.e.,
: reordering of Schur factorizations and estimating condition numbers)
: are also included. LAPACK can handle dense and banded matrices, but
: not general sparse matrices. Similar functionality is provided for
: real and complex matrices in both single and double precision. LAPACK
: is coded in Fortran90 and built with gcc.