How to Install and Uninstall suitesparse.x86_64 Package on Fedora 35

Last updated: November 29,2024

1. Install "suitesparse.x86_64" package

This guide covers the steps necessary to install suitesparse.x86_64 on Fedora 35


    
        
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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

Learn how to uninstall suitesparse.x86_64 on Fedora 35:


    
        
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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 35

Last metadata expiration check: 3:10:19 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : suitesparse
Version : 5.10.1
Release : 1.fc35
Architecture : x86_64
Size : 1.0 M
Source : suitesparse-5.10.1-1.fc35.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