How to Install and Uninstall gdl-mpfit Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: January 11,2025

1. Install "gdl-mpfit" package

This is a short guide on how to install gdl-mpfit on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                gdl-mpfit
            
                    
    
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2. Uninstall "gdl-mpfit" package

This guide covers the steps necessary to uninstall gdl-mpfit on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                gdl-mpfit
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the gdl-mpfit package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: gdl-mpfit
Priority: optional
Section: universe/science
Installed-Size: 766
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Team
Architecture: all
Source: mpfit
Version: 1.82+2013.08.14-3
Depends: gnudatalanguage (>= 0.9.5)
Filename: pool/universe/m/mpfit/gdl-mpfit_1.82+2013.08.14-3_all.deb
Size: 115710
MD5sum: ed446a7783759871c6a8ab45b7a29a4c
SHA1: 0f35572682c538f72f9f6e35b71d53a08b0492f0
SHA256: 4d185ed99996c553e4f0b0c05e370d20132283fe8aa1768b77decc8d88741ebd
Description-en: Robust non-linear least squares curve fitting for GDL
These GDL routines provide a robust and relatively fast way to perform
least-squares curve and surface fitting. The algorithms are translated from
MINPACK-1, which is a rugged minimization routine found on Netlib, and
distributed with permission. This algorithm is more desirable than CURVEFIT
because it is generally more stable and less likely to crash than the
brute-force approach taken by CURVEFIT, which is based upon Numerical
Recipes.
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MPFIT has additional capabilities not found in CURVEFIT. Model parameters can
be "frozen" (that is, held constant during the fitting process). Simple
boundary constraints can be imposed on parameter values, which can be helpful
to keep parameters from becoming negative, for example. Please see the
documentation for the PARINFO keyword if you wish to use this facility.
Description-md5: ee8f9e8d972a6b3b9c388076df0e0b39
Homepage: http://cow.physics.wisc.edu/~craigm/idl/fitting.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu