How to Install and Uninstall libmath-convexhull-monotonechain-perl Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: November 06,2024

1. Install "libmath-convexhull-monotonechain-perl" package

Here is a brief guide to show you how to install libmath-convexhull-monotonechain-perl on Ubuntu 24.04 LTS (Noble Numbat)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libmath-convexhull-monotonechain-perl
            
                    
    
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2. Uninstall "libmath-convexhull-monotonechain-perl" package

Learn how to uninstall libmath-convexhull-monotonechain-perl on Ubuntu 24.04 LTS (Noble Numbat):


    
        
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                sudo apt remove
            
                        
                libmath-convexhull-monotonechain-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libmath-convexhull-monotonechain-perl package on Ubuntu 24.04 LTS (Noble Numbat)

Package: libmath-convexhull-monotonechain-perl
Architecture: amd64
Version: 0.1-2build2
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 40
Depends: perl (>= 5.38.2-2), perlapi-5.38.2, libc6 (>= 2.2.5)
Filename: pool/universe/libm/libmath-convexhull-monotonechain-perl/libmath-convexhull-monotonechain-perl_0.1-2build2_amd64.deb
Size: 9182
MD5sum: 07980d0b60042d3398c9be56bb1fc2b9
SHA1: 5c6b00fc866550976eee970ff11c60d189e64f78
SHA256: 4bd5e289662b8e248492ad63d8e21a79673adc832d45398d85f76c749cc58c2c
SHA512: 4fe7bb79b6db67008a5944fe951430d7c6e95fb3e8fa8bdc95c99b7b90678a440ba847836dcbd9a8c6744fcb1ac63684728ab846ea8df0d035a70be54134b74c
Homepage: https://metacpan.org/release/Math-ConvexHull-MonotoneChain
Description: Perl module to calculate a convex hull using Andrew's monotone chain algorithm
Description-md5: 4bb3e9e975532650819a5c71b6067496