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Scientific Computing – Assignment Set 2

This repository contains the implementation for Assignment Set 2 of the Scientific Computing course of the UvA (5284SCCO6Y). The code is used to generate figures, and implement methods further dicussed in the report. (see docs/)

Topics Covered

-Successive Over-Relaxation (SOR) solver for the Laplace equation

-Internal absorbing boundary (square sink)

-Harmonic-measure Diffusion-Limited Aggregation (DLA)

-Influence of nonlinear growth parameter $\eta$

-Implement Gray-Scott model in two dimensions.

Dependencies

-numpy -matplotlib -SRC.SOR

Usage

The code can simply be run by running dla.py for diffusion-limited aggregation.

From the command line; python dla.py

Printed is which choise of eta is ran, and the current progress.

For the Gray_Scott model one can run. Gray_scott.py.

From the command line; python Gray_scott.py

Contributors

-Boyu Chen -IJsbrand Meeter -Jiawei Li

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Assignemnt set 2

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