How to Install and Uninstall OpenNL.x86_64 Package on Fedora 34

Last updated: November 30,2024

1. Install "OpenNL.x86_64" package

This guide covers the steps necessary to install OpenNL.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                OpenNL.x86_64
            
                    
    
    Copied

2. Uninstall "OpenNL.x86_64" package

In this section, we are going to explain the necessary steps to uninstall OpenNL.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                OpenNL.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the OpenNL.x86_64 package on Fedora 34

Last metadata expiration check: 0:15:36 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : OpenNL
Version : 3.2.1
Release : 27.fc34
Architecture : x86_64
Size : 41 k
Source : OpenNL-3.2.1-27.fc34.src.rpm
Repository : fedora
Summary : A library for solving sparse linear systems
URL : http://alice.loria.fr/index.php/software/4-library/23-opennl.html
License : BSD
Description : OpenNL (Open Numerical Library) is a library for solving sparse linear systems,
: especially designed for the Computer Graphics community. The goal for OpenNL is
: to be as small as possible, while offering the subset of functionalities
: required by this application field. The Makefiles of OpenNL can generate a
: single .c + .h file, very easy to integrate in other projects. The distribution
: includes an implementation of our Least Squares Conformal Maps parameterization
: method.
:
: New version: OpenNL 3.2.1, includes support for CUDA and Fermi architecture
: (Concurrent Number Cruncher and Nathan Bell's ELL formats)
:
:
: OpenNL offers the following set of functionalities:
:
: Efficient sparse matrix data structure (for non-symmetric and symmetric
: matrices)
: Iterative builder for sparse linear system
: Iterative builder for sparse least-squares problems
: Iterative solvers: conjugate gradient, BICGStab, GMRES
: Preconditionners: Jacobi, SSOR
: Iterative solver on the GPU (Concurrent Number Cruncher and Nathan Bell's
: ELL)
: Sparse direct solvers: OpenNL can be linked with SuperLU
: Simple demo program with LSCM (Least Squares Conformal Maps)