How to Install and Uninstall lapack.x86_64 Package on Fedora 38
Last updated: November 05,2024
1. Install "lapack.x86_64" package
Learn how to install lapack.x86_64 on Fedora 38
$
sudo dnf update
Copied
$
sudo dnf install
lapack.x86_64
Copied
2. Uninstall "lapack.x86_64" package
Please follow the step by step instructions below to uninstall lapack.x86_64 on Fedora 38:
$
sudo dnf remove
lapack.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the lapack.x86_64 package on Fedora 38
Last metadata expiration check: 0:46:33 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : lapack
Version : 3.11.0
Release : 2.fc38
Architecture : x86_64
Size : 9.6 M
Source : lapack-3.11.0-2.fc38.src.rpm
Repository : fedora
Summary : Numerical linear algebra package libraries
URL : http://www.netlib.org/lapack/
License : BSD
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 : 2.fc38
Architecture : x86_64
Size : 9.6 M
Source : lapack-3.11.0-2.fc38.src.rpm
Repository : fedora
Summary : Numerical linear algebra package libraries
URL : http://www.netlib.org/lapack/
License : BSD
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.