How to Install and Uninstall libdogleg2 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 15,2024

1. Install "libdogleg2" package

Please follow the steps below to install libdogleg2 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libdogleg2
            
                    
    
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2. Uninstall "libdogleg2" package

This guide covers the steps necessary to uninstall libdogleg2 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libdogleg2
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libdogleg2 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libdogleg2
Architecture: amd64
Version: 0.14-1
Multi-Arch: same
Priority: extra
Section: universe/libs
Source: libdogleg
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 36
Depends: libc6 (>= 2.14), libcholmod3 (>= 1:4.5.2), liblapack3 | liblapack.so.3, libsuitesparseconfig5 (>= 1:5.0.0)
Filename: pool/universe/libd/libdogleg/libdogleg2_0.14-1_amd64.deb
Size: 11980
MD5sum: de5de6d320503d26913a6fdef669fa93
SHA1: 91fabace177b88612940c1e448994c2ea57fb134
SHA256: b2b7cdc833c2e9f2ef794924286c8e5cc366a8475434a4b6b205eb16f718637e
SHA512: 99e77e87465469b9e7338cfed983f9977c6ec55ab8f29a7277416bb4315fd99cf33e1d7616ebdf60a1e5de4cf2b835fc59547ef453012933f54ecb9664029de6
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.
Description-md5: 37febc8dd44f0e9d04ee3cbf30f325c0