I was studying complexity science
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Updated
Dec 3, 2019 - Jupyter Notebook
I was studying complexity science
A CA model for determining the effect of wind on fire propagation.
Python code used to carry out the statistical analysis of magnitude correlations published in https://npg.copernicus.org/articles/27/1/2020/npg-27-1-2020.html for the self-similar aftershock rates (SSAR) model presented in https://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.022314, the catalog ("TimeMagLT.txt") used in the analysis, along …
Code release to our paper on an agent-based model of the Ramsey-Cass-Koopmans macroeconomic model. In this model, the households imitate other households' savings rates to "keep up with the Joneses".
Network data analysis using networkx, and gephi for visualisations.
Reliable and efficient agent-based models in Rust
Contains all my submission for my Applied Physics 157 Course
Computational Analysis and Modelling in Physics
A list of awesome resources for new (and less new) members of the Complexity Science research community.
Solutions to Think Complexity by Allen B. Downey
experiments in calculating longest common subsequences of a set of strings (NP-Complete problem)
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