Numerical Analysis/Scientific Computing
Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis, following the textbook Scientific Computing: An Introductory Survey by Michael T. Heath.
PDF of these slides/notes (see
The demos use annotations for
#clearannotation at the beginning of a code cell allows the
prepare-ipynbto remove the content of those input cells, maybe to use them for live coding in class. The
#clearmarks themselves can be removed by that
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
notessubdirectory and say:
The script will optionally make use of
latexrun. If you get
There were errors; output not updated
on the first go, simply rerun
make.shwill generate two PDFs:
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).
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.
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