How to Install and Uninstall root-unuran.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)

Last updated: November 29,2024

1. Install "root-unuran.x86_64" package

Please follow the guidance below to install root-unuran.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                root-unuran.x86_64
            
                    
    
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2. Uninstall "root-unuran.x86_64" package

Please follow the step by step instructions below to uninstall root-unuran.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):


    
        
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                sudo dnf remove
            
                        
                root-unuran.x86_64
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the root-unuran.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)

Last metadata expiration check: 1:09:47 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : root-unuran
Version : 6.30.04
Release : 1.el8
Architecture : x86_64
Size : 115 k
Source : root-6.30.04-1.el8.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.