How to Install and Uninstall OpenNL.i686 Package on Fedora 38

Last updated: September 23,2024

1. Install "OpenNL.i686" package

Here is a brief guide to show you how to install OpenNL.i686 on Fedora 38


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                OpenNL.i686
            
                    
    
    Copied

2. Uninstall "OpenNL.i686" package

Here is a brief guide to show you how to uninstall OpenNL.i686 on Fedora 38:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                OpenNL.i686
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the OpenNL.i686 package on Fedora 38

Last metadata expiration check: 2:43:39 ago on Sun Mar 17 04:59:58 2024.
Available Packages
Name : OpenNL
Version : 3.2.1
Release : 31.fc38
Architecture : i686
Size : 41 k
Source : OpenNL-3.2.1-31.fc38.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)