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PyWENO
======
PyWENO is a Python module for computing high-order Weighted
Essentially Non-oscillatory (WENO) reconstructions of cell-averaged
data arrays.
The basic interface provides a simple routine to compute 1D
reconstructions at various points within each grid cell. The points
at which the basic interface can reconstruct the original function at
include: left edge, right edge, Gauss-Legendre quadrature points,
Gauss-Lobatto quadrature points, and Guass-Radau quadrature points.
PyWENO can also be used as a code generator to build custom WENO
reconstructors in C, Fortran, and OpenCL on uniform and non-uniform
grids.
Please see
http://readthedocs.org/docs/pyweno/en/latest/
for more information.
Important links
---------------
* Official project page: https://github.com/memmett/PyWENO
* Documentation: http://readthedocs.org/docs/pyweno/en/latest/
Prerequisites
-------------
To install PyWENO, you need:
* NumPy
* SymPy (optional if you avoid pyweno.symbolic)
License
-------
Please see LICENSE for copyright information.
Contributors
------------
* Matthew Emmett
* Michael Welter
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