How to Install and Uninstall liblbfgs0 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 05,2024

1. Install "liblbfgs0" package

Please follow the guidance below to install liblbfgs0 on Ubuntu 21.04 (Hirsute Hippo)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                liblbfgs0
            
                    
    
    Copied

2. Uninstall "liblbfgs0" package

This guide let you learn how to uninstall liblbfgs0 on Ubuntu 21.04 (Hirsute Hippo):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                liblbfgs0
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the liblbfgs0 package on Ubuntu 21.04 (Hirsute Hippo)

Package: liblbfgs0
Architecture: amd64
Version: 1.10-6
Multi-Arch: same
Priority: extra
Section: universe/libs
Source: liblbfgs
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 34
Depends: libc6 (>= 2.4)
Filename: pool/universe/libl/liblbfgs/liblbfgs0_1.10-6_amd64.deb
Size: 9500
MD5sum: 7e52c6cf4958082d4ceb3819541680f4
SHA1: 1004263f8e565c00ada84f1a5d1ef6aae4009763
SHA256: 9e639eaf38e68d591681f1c54e767d824dcdb29e3b9066b61cdcf360ae1d357d
SHA512: c249b9b3dda393e81146d571b98d234b24c84e9f3ca856ec8e48452d0e8309b33611038afe66b47b6100200a3c69568470a100d754d701e5e5bfcc8cee356a24
Homepage: http://www.chokkan.org/software/liblbfgs/index.html
Description-en: L-BFGS solver for unconstrained nonlinear optimization problems
Solves nonlinear optimization problems using the limited-memory BFGS method.
The user specifies a callback C function that returns the value and gradients
of the cost function at a particular operating point. This library estimates
the Hessians from user input, and applies Newton's method iteratively to find a
local minimum of the cost function. This is a small library, written in C with
minimal dependencies.
Description-md5: fd6420537d3e400fb27878507da038eb