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

Last updated: May 03,2024

1. Install "libann-dev" package

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


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

This tutorial shows how to uninstall libann-dev on Ubuntu 21.04 (Hirsute Hippo):


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

Package: libann-dev
Architecture: amd64
Version: 1.1.2+doc-7build1
Priority: optional
Section: universe/libdevel
Source: ann
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 558
Depends: libann0 (= 1.1.2+doc-7build1)
Filename: pool/universe/a/ann/libann-dev_1.1.2+doc-7build1_amd64.deb
Size: 363804
MD5sum: 7d8412e2b24667727f2f9f3f4da41054
SHA1: 110fd5401882b8c3b02e3360f333df00ac488206
SHA256: 374b1aae0bc4eef16fbfd3490950dd134df961c009be0135c10381afb7963522
SHA512: ece81b07234fe3dd85b9508121db5437823318a2e92cef561d6d6923f65d6ccb2b40a4f8f6673b58d7ce2c6ff4ecddbd92c20d629ffa5320a1d369540a1fac89
Homepage: http://www.cs.umd.edu/~mount/ANN/
Description-en: Approximate Nearest Neighbor Searching library (development files)
ANN is a library written in C++, which supports data structures and
algorithms for both exact and approximate nearest neighbor searching
in arbitrarily high dimensions. ANN assumes that distances
are measured using any class of distance functions called Minkowski
metrics. These include the well known Euclidean distance, Manhattan
distance, and max distance. ANN performs quite efficiently for point
sets ranging in size from thousands to hundreds of thousands, and in
dimensions as high as 20.
.
This package contains the header files for developing applications
with the ANN library.
Description-md5: 31c7ed6a02cce7c4d7ffb25af74b5056