Diffusion.py
This package is used to calculate 2-dimensional diffusion on a regular grid with the initial conditions defined in a png file. The border conditions are handeled by rolling over to the oposite edge and using the value specified there. This module is the final state in a row of examples for solving the same problem. All examples, shifting the very first quick&dirty soultion over a function-based version to this version are published in the GIT-project:
https://github.com/mmaelicke/diffusion.git
This module was programmed in order to illustrate proper programming for scientist using an easy to understand example. It does neither claim to be performant nor comprehensive to solve diffusion problems. The example was taken from the great book: High Performance Python by Micha Gorelick and Ian Ozsvald (O’Reilly). [Copyright 2014 Micha Gorelick and Ian Ozsvald, 978-1-449-36159-4].
Installation
Install this package using:
Usage
There is a command line tool called diffusion.py that takes an image with the initial conditions as a first argument, The diffusion parameter D as a second argument, the time step per increment dt as third argument and the total time steps to be simulated as fourth argument.
python diffusion.py image.png D dt iterations1 maintainer
Metadata
1 maintainer
Release files for diff2d 0.1.8
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