How to Install and Uninstall slepc3.13-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 15,2024

1. Install "slepc3.13-doc" package

Please follow the steps below to install slepc3.13-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                slepc3.13-doc
            
                    
    
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2. Uninstall "slepc3.13-doc" package

Please follow the guidelines below to uninstall slepc3.13-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                slepc3.13-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the slepc3.13-doc package on Ubuntu 20.10 (Groovy Gorilla)

Package: slepc3.13-doc
Architecture: all
Version: 3.13.3+dfsg1-3
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: slepc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4104
Suggests: libslepc-real3.13-dev | libslepc-complex3.13-dev
Filename: pool/universe/s/slepc/slepc3.13-doc_3.13.3+dfsg1-3_all.deb
Size: 238408
MD5sum: f8185f819bfd88b39798f1e1c8524f93
SHA1: 1c37d1277ba0a0c621bcd2f3ed5a52f1c8a788b6
SHA256: 15b5903556ab45653a46de2faf2cacad6ce683310e8474411747a48671e13ae8
SHA512: 0116b65848735d5345b22a99d3882caf7f72d5a0f7d8c8cd08f871b44a21ed22783795f55e1163e05932713b55b09d6f20e88441d86be390b736f629d335f968
Homepage: http://slepc.upv.es/
Description-en: Scalable Library for Eigenvalue Problem Computations
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.
.
This package contains the documentation and examples for SLEPc.
Description-md5: e26c7639c4076228fcff58e6117cbb60