Metadata-Version: 2.1
Name: modepy
Version: 2016.1.2
Summary: Modes and nodes for high-order methods
Home-page: http://documen.tician.de/modepy
Author: Andreas Kloeckner
Author-email: inform@tiker.net
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Utilities
License-File: LICENSE

modepy
======

.. image:: https://badge.fury.io/py/modepy.png
    :target: http://pypi.python.org/pypi/modepy

modepy helps you create well-behaved high-order
discretizations on simplices (i.e. triangles and tetrahedra).
These are a key building block for high-order unstructured
discretizations, as often used in a finite element context.
It closely follows the approach taken in the book

  Hesthaven, Jan S., and Tim Warburton. "Nodal Discontinuous Galerkin Methods:
  Algorithms, Analysis, and Applications". 1st ed. Springer, 2007.
  `Book web page <http://nudg.org>`_

Resources:

* `documentation <http://documen.tician.de/modepy>`_
* `wiki home page <http://wiki.tiker.net/ModePy>`_
* `source code via git <http://github.com/inducer/modepy>`_


