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

Last updated: May 18,2024

1. Install "voro++" package

Please follow the steps below to install voro++ on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the steps below to uninstall voro++ on Ubuntu 20.10 (Groovy Gorilla):


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

Package: voro++
Architecture: amd64
Version: 0.4.6+dfsg1-3build1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 73
Depends: libc6 (>= 2.4), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1), libvoro++1 (>= 0.4.6)
Filename: pool/universe/v/voro++/voro++_0.4.6+dfsg1-3build1_amd64.deb
Size: 18884
MD5sum: ebfd8137eabd28968dea0eddf649579c
SHA1: e9e2ff7755fbdfe870b8603e108b695ae45f025b
SHA256: 8735559f2f9270c3b955a1b79330dc7933cb33fb2e1e22f650d011e481e3fb42
SHA512: b78094b60e79f8308230dfcd63687cd151437d3474524cb51b2f0f35b32b4514fb877947a0f7f480fe69e2a2eab3e2c4edd13cc6bf34a798e02283ffc256a0b9
Homepage: http://math.lbl.gov/voro++/
Description-en: library for the computation of the Voronoi diagram
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.
Description-md5: b2496274f848eae5a88ce4fafc4fe768