PyWENO 0.7.3

Weighted Essentially Non-oscillatory (WENO) reconstructions.

PyWENO (aka scikits.weno) 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.

Please see

http://memmett.github.com/PyWENO/

for more information.

Important links

• Official project page: https://github.com/memmett/PyWENO

• Documentation: http://memmett.github.com/PyWENO/

Prerequisites

To install PyWENO, you need:

• NumPy

• SymPy (optional if you avoid pyweno.symbolic)

• PyOpenCL (optional if you avoid pyweno.opencl)

License

Please see LICENSE for copyright information.