How to Install and Uninstall yorick-optimpack Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "yorick-optimpack" package

This is a short guide on how to install yorick-optimpack on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                yorick-optimpack
            
                    
    
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2. Uninstall "yorick-optimpack" package

Here is a brief guide to show you how to uninstall yorick-optimpack on Ubuntu 20.10 (Groovy Gorilla):


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

Package: yorick-optimpack
Architecture: amd64
Version: 1.3.2+dfsg+1.4.0-1
Priority: extra
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 140
Provides: yorick-optimpacklegacy
Depends: libc6 (>= 2.14), yorick (>= 1.6.02)
Filename: pool/universe/y/yorick-optimpack/yorick-optimpack_1.3.2+dfsg+1.4.0-1_amd64.deb
Size: 42482
MD5sum: 7af4ad50e9191909e74fdeeb049d3445
SHA1: 8bc3974db4f231e7c818720efd5e23798adf5f8b
SHA256: d293d8dcdeca4d968b9f6335a7fe3cce9e933f36fbeac85f4c80f393ea4fce9c
SHA512: 29426da01eed06a178a5ee5c8f801468302f1215c5c742f88f23edcc4d318c74e59a3ac5e1eed3a756d2f3ca5f9cecfadce99322872855b48e2fef8d8ee3301b
Homepage: https://cral.univ-lyon1.fr/labo/perso/eric.thiebaut/?Software/OptimPack
Description-en: optimization of large scale problems for the Yorick language
OptimPack is a portable C library which implements algorithms for
optimization of large scale problems with bound constraints. Large
scale means some million variables (e.g. pixel values) or more.
.
The most important algorithm is VMLM-B: a variable metric method with
limited memory requirements and, possibly, bound constraints on the
parameters. The algorithm is based on limited memory BFGS updates
with Moré & Thuente inexact line search and gradient projection to
account for bounds.
.
This package contains two Yorick plug-ins: one based on the newer
OptimPackLegacy version and, for backward compatibility, one based on the
previous OptimPack1 implementation.
Description-md5: b1873996e69f5e2c5d8c1af2e45ba0bb