How to Install and Uninstall libdogleg-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "libdogleg-dev" package

This is a short guide on how to install libdogleg-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the steps below to uninstall libdogleg-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libdogleg-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libdogleg-dev package on Ubuntu 21.10 (Impish Indri)

Package: libdogleg-dev
Architecture: amd64
Version: 0.15.4-1
Multi-Arch: same
Priority: extra
Section: universe/libdevel
Source: libdogleg
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 73
Depends: libdogleg2 (= 0.15.4-1), libdogleg-doc, libsuitesparse-dev | libsuitesparse-metis-dev
Filename: pool/universe/libd/libdogleg/libdogleg-dev_0.15.4-1_amd64.deb
Size: 18676
MD5sum: a845a076a9a66900b051da3a256b2395
SHA1: 9f2f84e0a9e72f674f380e3c61334decaf87dedc
SHA256: 62c1b217001bb5adc494221661d80bb8c2617e4b997e366b42b6d950ebcc630d
SHA512: 4b04520639bc40fbb2e997bf778ceed8bfcdb3ba0e726aefd3b978aa2df45b97c69c9690638880ea31782eeef4387ea06e43aeb625526ae6e69853d027b77867
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.
.
Development files
Description-md5: 1be800fdfe9996453e20c86839aed87c