Metadata-Version: 1.1
Name: shenfun
Version: 1.1.1
Summary: Shenfun -- Automated Spectral-Galerkin framework
Home-page: https://github.com/spectralDNS/shenfun
Author: Mikael Mortensen
Author-email: mikaem@math.uio.no
License: UNKNOWN
Description: shenfun
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        Description
        -----------
        Shenfun is a toolbox for automating the spectral Galerkin method.  The user interface to shenfun is very similar to FEniCS (fenicsproject.org), but works only for tensor product grids and the spectral Galerkin method. The code is parallelized with MPI through the [*mpi4py-fft*](https://bitbucket.org/mpi4py/mpi4py-fft) package.
        
        The demo folder contains several examples for the Poisson, Helmholtz and Biharmonic equations. For extended documentation and installation instructions see [*ReadTheDocs*](http://shenfun.readthedocs.org). See also this [*paper*](https://rawgit.com/spectralDNS/shenfun/master/docs/demos/mekit17/pub/shenfun_bootstrap.html).
        
        About
        -----
        Shenfun is developed by
        
             - Mikael Mortensen, University of Oslo
        
        Contact
        -------
        For comments, issues, bug-reports and requests, please use the issue tracker of the current repository. Otherwise I can be reached at http://folk.uio.no/mikaem/contact.html
        
            Mikael Mortensen
            mikaem at math.uio.no
            http://folk.uio.no/mikaem/
            Department of Mathematics
            University of Oslo
            Norway
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
