How to Install and Uninstall libcneartree-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 07,2024

1. Install "libcneartree-dev" package

This tutorial shows how to install libcneartree-dev on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcneartree-dev
            
                    
    
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2. Uninstall "libcneartree-dev" package

This guide covers the steps necessary to uninstall libcneartree-dev on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libcneartree-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcneartree-dev package on Ubuntu 21.04 (Hirsute Hippo)

Package: libcneartree-dev
Architecture: amd64
Version: 5.1.1+dfsg1-1
Multi-Arch: same
Priority: extra
Section: universe/libdevel
Source: neartree
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 710
Depends: libcneartree7 (= 5.1.1+dfsg1-1)
Conflicts: libcneartree3-dev
Filename: pool/universe/n/neartree/libcneartree-dev_5.1.1+dfsg1-1_amd64.deb
Size: 80500
MD5sum: 130cafd9d6e743d6ebc2387c5c587042
SHA1: e8a9dd064d43d0542574ccfd0f21b57598778e07
SHA256: 8c421a9fba5af71876cc34cfee47dd95d08042d5340877d2f54ae6635a49c4be
SHA512: ad19732acc8157ad0d8f5c23fe2fcafee0d58bc8e01135153a11248a7a0ae7c44762c73195396759aa40da65409186a41cb4261037bfa1fd66ee79157644705a
Homepage: http://neartree.sourceforge.net/
Description-en: Library and headers for solving the Nearest Neighbor Problem
Neartree is an API and a library for finding nearest neighbors among
points in spaces of arbitrary dimensions. This package provides a C++
template, TNear.h, and C library and header files for compiling
programs using Neartree.
.
The library uses the Nearest Neighbor algorithm after Kalantari and
McDonald, (IEEE Transactions on Software Engineering, v. SE-9, pp.
631-634,1983) modified to use recursion instead of a double-linked tree
and simplified so that it does less checking for things like is the
distance to the right less than the distance to the left; it was found
that these checks make little to no difference.
Description-md5: c9bf12b618fb540bb3546e8d4fc02aa6