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

Last updated: May 19,2024

1. Install "libtrilinos-anasazi-dev" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libtrilinos-anasazi-dev
            
                    
    
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2. Uninstall "libtrilinos-anasazi-dev" package

Please follow the instructions below to uninstall libtrilinos-anasazi-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libtrilinos-anasazi-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libtrilinos-anasazi-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libtrilinos-anasazi-dev
Priority: extra
Section: universe/libdevel
Installed-Size: 1681
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: trilinos
Version: 12.4.2-2
Depends: libtrilinos-anasazi12 (= 12.4.2-2), trilinos-dev
Suggests: trilinos-doc
Filename: pool/universe/t/trilinos/libtrilinos-anasazi-dev_12.4.2-2_amd64.deb
Size: 199028
MD5sum: 07354f6f7fd73ee11621d0103bcb8ff9
SHA1: 4817b5fc5f1df88d3b1d3e68eabb3522d823073c
SHA256: 7276f40f59ad8503f7a34213c95f0fd89e5e8a86a757ab43f3e0a5432996305a
Description-en: large-scale eigenvalue algorithms - development files
Anasazi is an extensible and interoperable framework for large-scale
eigenvalue algorithms. The motivation for this framework is to provide a
generic interface to a collection of algorithms for solving large-scale
eigenvalue problems. Anasazi is interoperable because both the matrix and
vectors (defining the eigenspace) are considered to be opaque objects -- only
knowledge of the matrix and vectors via elementary operations is necessary.
.
This package provides headers.
Description-md5: c197134c6b9ee41d314b1667af00b418
Homepage: http://trilinos.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu