How to Install and Uninstall libdogleg-doc Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 20,2024

1. Install "libdogleg-doc" package

This guide covers the steps necessary to install libdogleg-doc on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libdogleg-doc
            
                    
    
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2. Uninstall "libdogleg-doc" package

Please follow the guidance below to uninstall libdogleg-doc on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libdogleg-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libdogleg-doc package on Ubuntu 21.04 (Hirsute Hippo)

Package: libdogleg-doc
Architecture: all
Version: 0.15.4-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: libdogleg
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 53
Breaks: libdogleg-dev (<< 0.08-3)
Replaces: libdogleg-dev (<< 0.08-3)
Filename: pool/universe/libd/libdogleg/libdogleg-doc_0.15.4-1_all.deb
Size: 21960
MD5sum: 0bdb9ab0200a8ed4f6d60185f8d44d38
SHA1: 6b05162d26651c7db5d8e7036a202180ab86dde1
SHA256: 0accd3fea7369963133dac466165ee7acbe8e6020825f7f36470694a55715b08
SHA512: 419f707821fc73d753273e2b7a09ccb997a73e892fb0fc170bb6260ff867b4d53e1c2970b923b5d94a8d83f9cb7a606d23320150ad748bf7e765ab279cc50354
Homepage: https://github.com/dkogan/libdogleg
Description-en: Powell's dog-leg nonlinear least squares solver for sparse matrices
Solves unconstrained nonlinear least squares problems using Powell's dog-leg
method. The user specifies a callback C function that returns the value and
gradients of the model function at a particular operating point. This library
takes a series of dog-leg steps to find a local minimum of the residual
surface.
.
This library works with sparse matrices, which makes it suitable for
efficiently solving very large problems.
.
This package contains the documentation
Description-md5: ea7352bc0bb27a70151a272954bb8641