How to Install and Uninstall qhull-bin Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "qhull-bin" package

Please follow the steps below to install qhull-bin on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install qhull-bin

2. Uninstall "qhull-bin" package

Please follow the steps below to uninstall qhull-bin on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove qhull-bin $ sudo apt autoclean && sudo apt autoremove

3. Information about the qhull-bin package on Ubuntu 20.10 (Groovy Gorilla)

Package: qhull-bin
Architecture: amd64
Version: 2020.1-2
Priority: optional
Section: universe/math
Source: qhull
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 222
Depends: libc6 (>= 2.4), libqhull-r8.0 (>= 2020.1), libqhull8.0 (>= 2020.1)
Suggests: geomview
Filename: pool/universe/q/qhull/qhull-bin_2020.1-2_amd64.deb
Size: 34596
MD5sum: fa24bad73b7d25d2a44a5b1e933eb37a
SHA1: 344787f22341f814659e965d24ffe61299e8ce1d
SHA256: 91ae6c00da18c1d8f8a06a505eea5abd18ae38854284ab3944f19b4ee2a6f56d
SHA512: e25f3d139c640da5d793f46706f61e50bd910b5f50eed478214d0332f438449bdc26ba426f6744bf9b2ae272800ef15881549c06e57de33ebb8e4f17418cd445
Homepage: https://www.qhull.org
Description-en: calculate convex hulls and related structures (utilities)
Qhull computes convex hulls, Delaunay triangulations, halfspace
intersections about a point, Voronoi diagrams, furthest-site
Delaunay triangulations, and furthest-site Voronoi diagrams. It
runs in 2-d, 3-d, 4-d, and higher dimensions.
.
This package contains the qhull executable that gives a pipe interface to
some of the functionality of the library. Also included is rbox is a
useful tool in generating input for Qhull; it generates hypercubes,
diamonds, cones, circles, simplices, spirals, lattices, and random points.
.
Qhull produces graphical output for Geomview. This helps with
understanding the output (http://www.geomview.org).
Description-md5: 72ea306632db62fd6763de5b2a1f2067