How to Install and Uninstall voro++-examples Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "voro++-examples" package

In this section, we are going to explain the necessary steps to install voro++-examples on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                voro++-examples
            
                    
    
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2. Uninstall "voro++-examples" package

This tutorial shows how to uninstall voro++-examples on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                voro++-examples
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the voro++-examples package on Ubuntu 20.10 (Groovy Gorilla)

Package: voro++-examples
Architecture: all
Version: 0.4.6+dfsg1-3build1
Priority: optional
Section: universe/science
Source: voro++
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 239
Depends: voro++-dev
Suggests: voro++
Filename: pool/universe/v/voro++/voro++-examples_0.4.6+dfsg1-3build1_all.deb
Size: 136288
MD5sum: 0709da2ebe438017c4a8e0a8d1d353bd
SHA1: 0cb87ce36b61fef8d61f62f7f010421a88dbc96e
SHA256: 73ce4ca2dba6ecb27feaede35a5fde704b7b4032abf2dfa09ee0a10a98ed5e27
SHA512: 5cd6e6c4f19e4f16742e767a5bf9e7c72d328c604a6c9d14e011faa373f227af42a4b8ec635b9313dd2f56e02ca70b3ce9af89752205550c94484ff57fcc7c8d
Homepage: http://math.lbl.gov/voro++/
Description-en: library for the computation of the Voronoi diagram (examples)
Voro++ is a software library for carrying out three-dimensional computations
of the Voronoi tessellation. A distinguishing feature of the Voro++ library is
that it carries out cell-based calculations, computing the Voronoi cell for
each particle individually. It is particularly well-suited for applications
that rely on cell-based statistics, where features of Voronoi cells (eg.
volume, centroid, number of faces) can be used to analyze a system of
particles.
.
This package contains numerous example codes which use the library.
Description-md5: e8307417bf55bbc30b026097aacf6b2c