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Weighted Essentially Non-oscillatory (WENO) reconstructions.

Project description

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 grids.

Please see

for more information.


To install PyWENO, you need:

  • NumPy

  • SymPy (optional if you avoid pyweno.symbolic)


Please see LICENSE for copyright information.


  • Matthew Emmett

  • Michael Welter

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PyWENO-0.8.1.tar.gz (237.8 kB view hashes)

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