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This week’s notebooks (MATLAB and Julia–now all lectures are together for each language) are about least squares polynomial …
4 min read computing, teaching

For today’s notebooks I got caught on a problem I anticipated in theory but failed to spot in practice for longer than I would …
4 min read Uncategorized

This lecture is about the modified Gram-Schmidt method and flop counting. The notebooks are here. I’m lost. Almost as an …
2 min read computing, math, teaching

Here are the Jupyter notebooks for Lecture 6 and Lecture 7. (I finally noticed that a Gist can hold more than one notebook…duh.) …
3 min read teaching, computing

Notebooks are viewable for matlab and julia. This is one of my favorite demos. It illustrates low-rank approximation by the SVD to show …
2 min read computing, teaching

The notebooks: matlab and julia. Today is about some little conveniences/quirks in Julia. Starting here: t = linspace(0,2*pi,300); …
2 min read computing, math, teaching

Here are the MATLAB and julia notebooks. The big issue this time around was graphics. This topic dramatically illustrates the …
3 min read computing, math, teaching

Here are the matlab and julia notebooks. Two things stood out this time. First, consider the following snippet. u = [ 4; -1; 2+2im ] v …
2 min read computing, math, teaching

Have a look at the MATLAB and Julia versions of the notebooks for this lecture. The first disappointment in Julia comes right at the …
3 min read computing, teaching

This semester I’m teaching MATH 612, which is numerical linear and nonlinear algebra for grad students. Linear algebra dominates …
3 min read math, computing, teaching