How to Install and Uninstall lapack.x86_64 Package on Amazon Linux 2
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 Amazon Linux 2
$
sudo yum makecache
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$
sudo yum install
lapack.x86_64
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2. Uninstall "lapack.x86_64" package
In this section, we are going to explain the necessary steps to uninstall lapack.x86_64 on Amazon Linux 2:
$
sudo yum remove
lapack.x86_64
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$
sudo yum autoremove
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3. Information about the lapack.x86_64 package on Amazon Linux 2
Loaded plugins: ovl, priorities
Available Packages
Name : lapack
Arch : x86_64
Version : 3.4.2
Release : 8.amzn2.0.2
Size : 5.4 M
Repo : amzn2-core/2/x86_64
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
Arch : x86_64
Version : 3.4.2
Release : 8.amzn2.0.2
Size : 5.4 M
Repo : amzn2-core/2/x86_64
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.