How to Install and Uninstall libalgorithm-lbfgs-perl Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "libalgorithm-lbfgs-perl" package

Please follow the guidelines below to install libalgorithm-lbfgs-perl on Ubuntu 21.10 (Impish Indri)


    
        
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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

This tutorial shows how to uninstall libalgorithm-lbfgs-perl on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: libalgorithm-lbfgs-perl
Architecture: amd64
Version: 0.16-2build7
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 (>= 5.32.0-4), perlapi-5.32.0, libc6 (>= 2.2.5), liblbfgs0
Filename: pool/universe/liba/libalgorithm-lbfgs-perl/libalgorithm-lbfgs-perl_0.16-2build7_amd64.deb
Size: 20448
MD5sum: 3a2e6f5f82dd236e49a9dd31b746d6dd
SHA1: 9ff51c6729decc968a1d90d4eb651b414f3d2d14
SHA256: ce07bde5aef62c823f3203f939c5cfdca0df3da56235b74fa15626828b6ae2e0
SHA512: ad1172d043715281360ff38116dfc8abf01726d543120a57776d99c5cea0751aef08ac5677a3258c3ffa83450e4e5a3bb14387a7ca428b8c36a885c051ec643f
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