How to Install and Uninstall yade-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 08,2024

1. Install "yade-doc" package

In this section, we are going to explain the necessary steps to install yade-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the steps below to uninstall yade-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                yade-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the yade-doc package on Ubuntu 20.10 (Groovy Gorilla)

Package: yade-doc
Architecture: all
Version: 2020.01a-10build1
Priority: extra
Section: universe/doc
Source: yade
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 14958
Depends: libjs-sphinxdoc (>= 1.0), libjs-mathjax
Recommends: yade
Filename: pool/universe/y/yade/yade-doc_2020.01a-10build1_all.deb
Size: 5150752
MD5sum: cee7fb2149b0908ece8c672a999575f1
SHA1: 1bddd31c09a6ae68e52382548b44bfae5a351659
SHA256: ab0e6107cbc36665f99efa5fe1c8f877582f1df1a52f993b144db791a1b9d24f
SHA512: 8ee3b6dfe996f7a044c9f8cdff41aef1739e603dd90915bfeb6e80aadeee69916c60b240cf4d7990f84d38a2180f7a213f701bc6f42a091d78ff10847eb7b3c4
Homepage: https://yade-dem.org/doc/
Description-en: Platform for discrete element modeling. Documentation
Yet Another Dynamic Engine.
.
Extensible open-source framework for discrete numerical models,
focused on Discrete Element Method.
The computation parts are written in c++ using flexible object model,
allowing independent implementation of new algorithms and interfaces.
Python is used for rapid and concise scene construction,
simulation control, postprocessing and debugging.
.
This package contains examples, test scripts and documentation.
Description-md5: 8459c3bafddecc08f3ba9a9bc2d4b841