How to Install and Uninstall libtrilinos-anasazi-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 19,2024

1. Install "libtrilinos-anasazi-dev" package

This guide let you learn how to install libtrilinos-anasazi-dev on Ubuntu 21.10 (Impish Indri)


    
        
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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

This is a short guide on how to uninstall libtrilinos-anasazi-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libtrilinos-anasazi-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libtrilinos-anasazi-dev package on Ubuntu 21.10 (Impish Indri)

Package: libtrilinos-anasazi-dev
Architecture: amd64
Version: 12.18.1-2
Multi-Arch: same
Priority: extra
Section: universe/libdevel
Source: trilinos
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1765
Depends: libtrilinos-anasazi12 (= 12.18.1-2), trilinos-dev
Suggests: trilinos-doc
Filename: pool/universe/t/trilinos/libtrilinos-anasazi-dev_12.18.1-2_amd64.deb
Size: 199140
MD5sum: 646dc078b708952e264ff9c754d90e70
SHA1: 2d3a76c582b7ed1c56318ba99a443cb9a799094c
SHA256: 3b4f79031b3351a959269e2c40da1038f3ea81e4c81c73013f4623940a8ef267
SHA512: 93342c2910225c4feea114ebcc86a5a0ce0d05f20f5cfc6d1799149d51e887fba75e96dc88f6f0a9b3f6f0f17fc75cfb30b831742c2fc734de8d1e36691c61eb
Homepage: https://trilinos.github.io/
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