How to Install and Uninstall libtrilinos-shylu-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 26,2024

1. Install "libtrilinos-shylu-dev" package

Please follow the steps below to install libtrilinos-shylu-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libtrilinos-shylu-dev
            
                    
    
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2. Uninstall "libtrilinos-shylu-dev" package

This is a short guide on how to uninstall libtrilinos-shylu-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libtrilinos-shylu-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libtrilinos-shylu-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libtrilinos-shylu-dev
Priority: extra
Section: universe/libdevel
Installed-Size: 177
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: trilinos
Version: 12.4.2-2
Depends: libtrilinos-shylu12 (= 12.4.2-2), trilinos-dev
Suggests: trilinos-doc
Filename: pool/universe/t/trilinos/libtrilinos-shylu-dev_12.4.2-2_amd64.deb
Size: 24246
MD5sum: 49a5cfea6fa1821d6a730e9c1616fe1b
SHA1: ea4e218246b10f5d693d78160bb87a3dafe05214
SHA256: 11c469535b15e1b74f86dd90859c68fd7517fa83565d800403c2e32672c812c2
Description-en: solving sparse linear systems - development files
ShyLU is a package for solving sparse linear systems. It can be used either as
a preconditioner, or as a solver. Currently, we recommend using it as an
Ifpack preconditioner. ShyLU uses a hybrid direct/iterative approach based on
Schur complements. The goal is to provide robustness similar to sparse direct
solvers, but memory usage more similar to preconditioned iterative solvers.
ShyLU was designed as a node-level solver. It can use both MPI and threads in
several ways. ShyLU was designed (a) to solve difficult but medium-size
problems, and (b) to be used as a subdomain solver or smoother for very large
problems within an iterative scheme. It is a purely algebraic method so can be
used as a black-box solver. ShyLU has been particularly successful in
electrical circuit simulation (Xyce).
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This package provides headers.
Description-md5: 3ca4bf7456e8071611204ccf132b6c08
Homepage: http://trilinos.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu