How to Install and Uninstall lapack64.x86_64 Package on Fedora 34
Last updated: November 24,2024
1. Install "lapack64.x86_64" package
Here is a brief guide to show you how to install lapack64.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
lapack64.x86_64
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2. Uninstall "lapack64.x86_64" package
Here is a brief guide to show you how to uninstall lapack64.x86_64 on Fedora 34:
$
sudo dnf remove
lapack64.x86_64
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$
sudo dnf autoremove
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3. Information about the lapack64.x86_64 package on Fedora 34
Last metadata expiration check: 3:00:18 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : lapack64
Version : 3.9.0
Release : 7.fc34
Architecture : x86_64
Size : 2.2 M
Source : lapack-3.9.0-7.fc34.src.rpm
Repository : updates
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.
:
: This build has 64bit INTEGER support.
Available Packages
Name : lapack64
Version : 3.9.0
Release : 7.fc34
Architecture : x86_64
Size : 2.2 M
Source : lapack-3.9.0-7.fc34.src.rpm
Repository : updates
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.
:
: This build has 64bit INTEGER support.