How to Install and Uninstall voro++.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: November 30,2024
1. Install "voro++.x86_64" package
Please follow the steps below to install voro++.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
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$
sudo dnf install
voro++.x86_64
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2. Uninstall "voro++.x86_64" package
Please follow the instructions below to uninstall voro++.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
voro++.x86_64
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$
sudo dnf autoremove
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3. Information about the voro++.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 1:10:22 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : voro++
Version : 0.4.6
Release : 19.el8
Architecture : x86_64
Size : 152 k
Source : voro++-0.4.6-19.el8.src.rpm
Repository : epel
Summary : Library for 3D computations of the Voronoi tessellation
URL : http://math.lbl.gov/voro++/
License : LBNL BSD
Description : 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 (e.g.
: volume, centroid, number of faces) can be used to analyze a system of particles.
Available Packages
Name : voro++
Version : 0.4.6
Release : 19.el8
Architecture : x86_64
Size : 152 k
Source : voro++-0.4.6-19.el8.src.rpm
Repository : epel
Summary : Library for 3D computations of the Voronoi tessellation
URL : http://math.lbl.gov/voro++/
License : LBNL BSD
Description : 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 (e.g.
: volume, centroid, number of faces) can be used to analyze a system of particles.