How to Install and Uninstall libfcl-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: September 20,2024

1. Install "libfcl-dev" package

This tutorial shows how to install libfcl-dev on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libfcl-dev

2. Uninstall "libfcl-dev" package

This tutorial shows how to uninstall libfcl-dev on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libfcl-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the libfcl-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libfcl-dev
Architecture: amd64
Version: 0.5.0-5build1
Priority: extra
Section: universe/libdevel
Source: fcl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 868
Depends: pkg-config, libboost-filesystem-dev, libboost-test-dev, libccd-dev, libtinyxml-dev, libflann-dev, liboctomap-dev, libfcl0.5 (= 0.5.0-5build1)
Filename: pool/universe/f/fcl/libfcl-dev_0.5.0-5build1_amd64.deb
Size: 88448
MD5sum: ebb711455462e844955e1d470da1da28
SHA1: 6d0e3016302fc1b203c5707806c72b8ab3ad9fad
SHA256: 9361e5800816cea52438b9fcc7a4a9d17e014ad3056a2e35db131ca78864ab67
SHA512: 9c0bef19e619dedb12f71eb1c59a789a421cfc29fe7cdba0cf795c084590743d9dfdf5c9ea9024da32f3144ce7d67fe258c1a1e5324a7425d8c760b265518c3b
Homepage: http://gamma.cs.unc.edu/FCL/
Description-en: Flexible Collision Library - development files
FCL is a collision and proximity library that integrates several techniques for
fast and accurate collision checking and proximity computation. Tje library is
based on hierarchical representations and designed to perform multiple
proximity queries on different model representations. The set of queries
includes discrete collision detection, continuous collision detection,
separation distance computation and penetration depth estimation. The input
models may correspond to triangulated rigid or deformable models and
articulated models. This package contains the development files.
Description-md5: 5b49482c1701cad610191f14bd31452c