How to Install and Uninstall python-ffc Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: July 05,2024

1. Install "python-ffc" package

Please follow the guidelines below to install python-ffc on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-ffc
            
                    
    
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2. Uninstall "python-ffc" package

In this section, we are going to explain the necessary steps to uninstall python-ffc on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: python-ffc
Priority: extra
Section: universe/python
Installed-Size: 1275
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Architecture: amd64
Source: ffc
Version: 1.6.0-2
Replaces: python-ufc, ufc
Provides: python-ufc, ufc
Depends: python-fiat (>= 1.6.0), python-instant (>= 1.6.0), python-ufl (>= 1.6.0), python-numpy (>= 1:1.8.0), python-six, python-numpy-abi9, python (>= 2.7), python (<< 2.8), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1)
Conflicts: python-ufc, ufc
Filename: pool/universe/f/ffc/python-ffc_1.6.0-2_amd64.deb
Size: 197976
MD5sum: 881322bb9d5633cfbf448ef11866d8e7
SHA1: 3c8517efdb278de098107227a49bdcf1db7d09fb
SHA256: e42c7f6c72b8aa58e0530c73a1f7fce68fb51105c588f20bbd10b52d18c9ae00
Description-en: compiler for finite element variational forms
The FEniCS Form Compiler FFC provides state-of-the-art automatic and efficient
evaluation of general multilinear forms (variational formulations) for FEniCS.
FFC functions as the form evaluation system for DOLFIN but can also be used to
compile forms for other systems.
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FFC works as a compiler for multilinear forms by generating code (C or C++)
for the evaluation of a multilinear form given in mathematical notation. This
new approach to form evaluation makes it possible to combine generality with
efficiency; the form can be given in mathematical notation and the generated
code is as efficient as hand-optimized code.
Description-md5: 8edc89afe7a997bbbddeb5eb01d6ff8d
Homepage: http://fenicsproject.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu