How to Install and Uninstall root-unuran.x86_64 Package on Rocky Linux 9
Last updated: November 27,2024
1. Install "root-unuran.x86_64" package
This is a short guide on how to install root-unuran.x86_64 on Rocky Linux 9
$
sudo dnf update
Copied
$
sudo dnf install
root-unuran.x86_64
Copied
2. Uninstall "root-unuran.x86_64" package
Please follow the instructions below to uninstall root-unuran.x86_64 on Rocky Linux 9:
$
sudo dnf remove
root-unuran.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the root-unuran.x86_64 package on Rocky Linux 9
Last metadata expiration check: 1:14:43 ago on Fri Feb 16 06:49:52 2024.
Available Packages
Name : root-unuran
Version : 6.30.04
Release : 1.el9
Architecture : x86_64
Size : 81 k
Source : root-6.30.04-1.el9.src.rpm
Repository : epel
Summary : Random number generator library
URL : https://root.cern/
License : GPL-2.0-or-later
Description : Contains universal (also called automatic or black-box) algorithms
: that can generate random numbers from large classes of continuous or
: discrete distributions, and also from practically all standard
: distributions.
:
: To generate random numbers the user must supply some information
: about the desired distribution, especially a C-function that computes
: the density and - depending on the chosen methods - some additional
: information (like the borders of the domain, the mode, the derivative
: of the density ...). After a user has given this information an
: init-program computes all tables and constants necessary for the
: random variate generation. The sample program can then generate
: variates from the desired distribution.
Available Packages
Name : root-unuran
Version : 6.30.04
Release : 1.el9
Architecture : x86_64
Size : 81 k
Source : root-6.30.04-1.el9.src.rpm
Repository : epel
Summary : Random number generator library
URL : https://root.cern/
License : GPL-2.0-or-later
Description : Contains universal (also called automatic or black-box) algorithms
: that can generate random numbers from large classes of continuous or
: discrete distributions, and also from practically all standard
: distributions.
:
: To generate random numbers the user must supply some information
: about the desired distribution, especially a C-function that computes
: the density and - depending on the chosen methods - some additional
: information (like the borders of the domain, the mode, the derivative
: of the density ...). After a user has given this information an
: init-program computes all tables and constants necessary for the
: random variate generation. The sample program can then generate
: variates from the desired distribution.