How to Install and Uninstall slepc3.14-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 13,2024

1. Install "slepc3.14-doc" package

Please follow the step by step instructions below to install slepc3.14-doc on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                slepc3.14-doc
            
                    
    
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2. Uninstall "slepc3.14-doc" package

Please follow the instructions below to uninstall slepc3.14-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                slepc3.14-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the slepc3.14-doc package on Ubuntu 21.10 (Impish Indri)

Package: slepc3.14-doc
Architecture: all
Version: 3.14.2+dfsg1-1build1
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: 4138
Suggests: libslepc-real3.14-dev | libslepc-complex3.14-dev
Filename: pool/universe/s/slepc/slepc3.14-doc_3.14.2+dfsg1-1build1_all.deb
Size: 237688
MD5sum: dc848f908ce463118e2990c1d2cdacb1
SHA1: 4af0315658884ace5ad9f5177a8ae2f7cc193256
SHA256: c9e799b66cbd7ead812b1f08ea7d92e591c0573f375efe42b2bbe8f25b2ac200
SHA512: 05a39650d6a73b114b0d93a4ccb89e50174d68aa6896cec7b38db44600623b953d2d772764168b8eb3cdb1029e7a5f8670277d09cdbf777a5d3261eb7cbeaf43
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