How to Install and Uninstall libalgorithm-lbfgs-perl Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "libalgorithm-lbfgs-perl" package

This guide covers the steps necessary to install libalgorithm-lbfgs-perl on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libalgorithm-lbfgs-perl
            
                    
    
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2. Uninstall "libalgorithm-lbfgs-perl" package

Please follow the step by step instructions below to uninstall libalgorithm-lbfgs-perl on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libalgorithm-lbfgs-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libalgorithm-lbfgs-perl package on Ubuntu 20.10 (Groovy Gorilla)

Package: libalgorithm-lbfgs-perl
Architecture: amd64
Version: 0.16-2build6
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 64
Depends: perl (>= 5.30.0-7), perlapi-5.30.0, libc6 (>= 2.2.5), liblbfgs0
Filename: pool/universe/liba/libalgorithm-lbfgs-perl/libalgorithm-lbfgs-perl_0.16-2build6_amd64.deb
Size: 20320
MD5sum: 9a1e3deed64510195f3bf6687be575f9
SHA1: 3b7cc3df5c732568338735c218e3f542733e859d
SHA256: 0ca92677d85d3e999c0814881f7b4b9bf4b3d1587ecac83a7d838afb004f282c
SHA512: 79f47973429dd48aec1fb5bab2bb0a7a7b5173a1b4622e507f1e22233f851f187131ecb032b0524c0a4dbf635f928800e98cb457f70781e98cc0438bad8385e7
Homepage: https://metacpan.org/release/Algorithm-LBFGS
Description-en: Perl interface to an L-BFGS non-linear optimization algorithm
Algorithm::LBFGS is an interface to liblbfgs, a C implementation of L-BFGS.
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L-BFGS (Limited-memory Broyden-Fletcher-Goldfarb-Shanno) is a quasi-Newton
method for unconstrained optimization. This method is especially efficient on
problems involving a large number of variables.
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Generally, it solves a problem described as following:
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min f(x), x = (x1, x2, ..., xn)
Description-md5: 764dc61b293928e13bd578bf760e50df