inducer / numpde-notes

Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs

Numerical Methods for Partial Differential Equations

Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs.

Originally developed for CS555 in the spring of 2020 in the Department of Computer Science at the University of Illinois, based on prior versions of the class taught by Luke Olson.

• PDF of these slides/notes (see notes for source)

• Demos in Binder

• The demos use annotations for ipython-demo-tools. A #clear annotation at the beginning of a code cell allows the clear-marked-inputs subcommand of prepare-ipynb to remove the content of those input cells, maybe to use them for live coding in class. The #clear marks themselves can be removed by that remove-marks subcommand.

• The notes are written in Org mode, which serves as a lightweight markup language over LaTeX. They're easiest to edit in Emacs, but vim-orgmode will do as well.

  To build the notes, you need any recent version of Emacs installed. Also make sure that submodules cloned properly:

  git submodule update --init
  

  Then simply change to the notes subdirectory and say:

  ./make.sh
  

  The script will optionally make use of latexrun. If you get

  There were errors; output not updated
  

  on the first go, simply rerun make.sh.

• make.sh will generate two PDFs: notes.pdf and notes-folded.pdf. They differ in whether the boxes present in the notes (containing many of the most salient mathematical developments) are filled in or not.

  I use the un-filled version for class and fill in the boxes by hand during class using Xournal++ (but equivalent notetaking applications should work just as well).

Problems and Assignments

If you can demonstrate that you are teaching a related course at a college or university anywhere in the world, I have homework assignments and projects (some of which are autograded using the RELATE system) that I would be happy to share with you.

MIT License

Copyright (C) 2020 Andreas Kloeckner

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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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