How to Install and Uninstall suitesparse.x86_64 Package on Fedora 38

Last updated: November 28,2024

1. Install "suitesparse.x86_64" package

This guide covers the steps necessary to install suitesparse.x86_64 on Fedora 38


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                suitesparse.x86_64
            
                    
    
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2. Uninstall "suitesparse.x86_64" package

This is a short guide on how to uninstall suitesparse.x86_64 on Fedora 38:


    
        
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                sudo dnf remove
            
                        
                suitesparse.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the suitesparse.x86_64 package on Fedora 38

Last metadata expiration check: 0:34:56 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : suitesparse
Version : 5.13.0
Release : 2.fc38
Architecture : x86_64
Size : 1.1 M
Source : suitesparse-5.13.0-2.fc38.src.rpm
Repository : fedora
Summary : A collection of sparse matrix libraries
URL : http://faculty.cse.tamu.edu/davis/suitesparse.html
License : (LGPLv2+ or BSD) and LGPLv2+ and GPLv2+
Description : suitesparse is a collection of libraries for computations involving sparse
: matrices. The package includes the following libraries:
: AMD approximate minimum degree ordering
: BTF permutation to block triangular form (beta)
: CAMD constrained approximate minimum degree ordering
: COLAMD column approximate minimum degree ordering
: CCOLAMD constrained column approximate minimum degree ordering
: CHOLMOD sparse Cholesky factorization
: CSparse a concise sparse matrix package
: CXSparse CSparse extended: complex matrix, int and long int support
: KLU sparse LU factorization, primarily for circuit simulation
: LDL a simple LDL factorization
: SQPR a multithread, multifrontal, rank-revealing sparse QR
: factorization method
: UMFPACK sparse LU factorization
: SuiteSparse_config configuration file for all the above packages.
: RBio read/write files in Rutherford/Boeing format