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
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.
1 maintainer
Release files for PyWENO 0.7.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| PyWENO-0.7.3.tar.gz | 194.9 kB | Details |
Release files / PyWENO-0.7.3.tar.gz
| Download URL | PyWENO-0.7.3.tar.gz |
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| Size | 194.9 kB |
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