UW AMath Numerical Methods for Time-Dependent Differential Equations
 
Applied Math 586
 
Spring Quarter, 2015

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Code and notebooks

Matlab scripts to accompany the book

See the book webpage

IPython / Jupyter notebooks

The list of notebooks below contains links to versions you can view online via nbviewer. (Check out this link and also the gallery for lots of cool examples of notebooks and books/papers written in this format.)

If you want to modify something in a notebook and re-execute, you will need to download the notebook (or find it in the Class GitHub Repository, in the codes directory).

You will need a recent version of IPython in order to run an IPython notebook (recently renamed Jupyter notebooks since they also support Julia, R, and other languages besides Python).

Notebooks can be found in $AM586/codes/ if you want to run the notebook.

If you want to easily run notebooks without installing any software, you might try Using SageMathCloud.

  • Notebook 1 illustrates Forward Euler and some stability issues. It can be found in $AM586/codes/notebook1.ipynb if you want to download and run the notebook.
  • Notebook 2 illustrates Forward Euler and some stability issues on a nonlinear problem.
  • Notebook 3 illustrates the Boundary Locus Method to plot stability regions for LMMs.
  • Notebook 4 illustrates plotting the stability region for a 1-step method