How to Install and Uninstall alglib.x86_64 Package on Red Hat Enterprise Linux 9 (RHEL 9)
Last updated: November 29,2024
1. Install "alglib.x86_64" package
This tutorial shows how to install alglib.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9)
$
sudo dnf update
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$
sudo dnf install
alglib.x86_64
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2. Uninstall "alglib.x86_64" package
This tutorial shows how to uninstall alglib.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9):
$
sudo dnf remove
alglib.x86_64
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$
sudo dnf autoremove
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3. Information about the alglib.x86_64 package on Red Hat Enterprise Linux 9 (RHEL 9)
Last metadata expiration check: 0:30:25 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : alglib
Version : 3.20.0
Release : 1.el9
Architecture : x86_64
Size : 1.4 M
Source : alglib-3.20.0-1.el9.src.rpm
Repository : epel
Summary : A numerical analysis and data processing library
URL : http://www.alglib.net/
License : GPLv2+
Description : ALGLIB is a cross-platform numerical analysis and data processing library.
: ALGLIB features include:
: - Data analysis (classification/regression, including neural networks)
: - Optimization and nonlinear solvers
: - Interpolation and linear/nonlinear least-squares fitting
: - Linear algebra (direct algorithms, EVD/SVD), direct and iterative linear
: solvers, Fast Fourier Transform and many other algorithms (numerical
: integration, ODEs, statistics, special functions)
Available Packages
Name : alglib
Version : 3.20.0
Release : 1.el9
Architecture : x86_64
Size : 1.4 M
Source : alglib-3.20.0-1.el9.src.rpm
Repository : epel
Summary : A numerical analysis and data processing library
URL : http://www.alglib.net/
License : GPLv2+
Description : ALGLIB is a cross-platform numerical analysis and data processing library.
: ALGLIB features include:
: - Data analysis (classification/regression, including neural networks)
: - Optimization and nonlinear solvers
: - Interpolation and linear/nonlinear least-squares fitting
: - Linear algebra (direct algorithms, EVD/SVD), direct and iterative linear
: solvers, Fast Fourier Transform and many other algorithms (numerical
: integration, ODEs, statistics, special functions)