How to Install and Uninstall lapack.i686 Package on AlmaLinux 9
Last updated: November 26,2024
1. Install "lapack.i686" package
Please follow the step by step instructions below to install lapack.i686 on AlmaLinux 9
$
sudo dnf update
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$
sudo dnf install
lapack.i686
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2. Uninstall "lapack.i686" package
Please follow the instructions below to uninstall lapack.i686 on AlmaLinux 9:
$
sudo dnf remove
lapack.i686
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$
sudo dnf autoremove
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3. Information about the lapack.i686 package on AlmaLinux 9
Last metadata expiration check: 1:26:44 ago on Wed Mar 13 07:41:12 2024.
Available Packages
Name : lapack
Version : 3.9.0
Release : 10.el9
Architecture : i686
Size : 8.5 M
Source : lapack-3.9.0-10.el9.src.rpm
Repository : appstream
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 : 3.9.0
Release : 10.el9
Architecture : i686
Size : 8.5 M
Source : lapack-3.9.0-10.el9.src.rpm
Repository : appstream
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.