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A collection of Python code and Google Colab notebooks that implement classic numerical PDE algorithms (Finite Differences, Finite Elements, Multigrid) and analyze performance. You can open the Google Colab notebooks (.ipynb) through GitHub to view the code and correpsonding plots and analysis!

martin-buck/numerical-PDE-experiments

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numerical-PDE-experiments

A collection of Python code and Google Colab notebooks that implement classic numerical PDE algorithms (Finite Differences, Finite Elements, Multigrid) and analyze performance. You can open the Google Colab notebooks (.ipynb) through GitHub to view the code and correpsonding plots and analysis!

References: The Mathematical Theory of Finite Elements by Susanne Brenner and L. Scott, Lecture Notes on Numerical Partial Differential Equations by James Adler, Finite Difference Schemes and Partial Differential Equations by John Strikwerda

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A collection of Python code and Google Colab notebooks that implement classic numerical PDE algorithms (Finite Differences, Finite Elements, Multigrid) and analyze performance. You can open the Google Colab notebooks (.ipynb) through GitHub to view the code and correpsonding plots and analysis!

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