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  • grudge
    ======
    
    
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    .. image:: https://gitlab.tiker.net/inducer/grudge/badges/master/pipeline.svg
        :alt: Gitlab Build Status
        :target: https://gitlab.tiker.net/inducer/grudge/commits/master
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    ..
        .. image:: https://badge.fury.io/py/grudge.png
            :alt: Python Package Index Release Page
            :target: https://pypi.org/project/grudge/
    
    
    grudge helps you discretize discontinuous Galerkin operators, quickly
    and accurately.
    
    It relies on
    
    
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    * `numpy <http://pypi.org/project/numpy>`_ for arrays
    * `modepy <http://pypi.org/project/modepy>`_ for modes and nodes on simplices
    * `meshmode <http://pypi.org/project/meshmode>`_ for modes and nodes on simplices
    * `loopy <http://pypi.org/project/loopy>`_ for fast array operations
    * `leap <http://pypi.org/project/leap>`_ for time integration
    * `dagrt <http://pypi.org/project/dagrt>`_ as an execution runtime
    * `pytest <http://pypi.org/project/pytest>`_ for automated testing
    
    
    and, indirectly,
    
    
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    * `PyOpenCL <http://pypi.org/project/pyopencl>`_ as computational infrastructure
    
    
    PyOpenCL is likely the only package you'll have to install
    by hand, all the others will be installed automatically.
    
    .. image:: https://badge.fury.io/py/grudge.png
    
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        :target: http://pypi..org/project/grudge
    
    
    Resources:
    
    * `documentation <http://documen.tician.de/grudge>`_
    * `wiki home page <http://wiki.tiker.net/Grudge>`_
    * `source code via git <http://gitlab.tiker.net/inducer/grudge>`_