I'm trying to build a table that floats on magnets.
Hopefully all over soon.
I've presented at a couple of conferences over the last few years. Here are copies of the slides I've used and the papers I've presented.
I made these movies in 2003 for a seminar. The individual frames are magnetostatic solutions from ANSYS, which were all glued together in Quicktime Pro to create the movies.
Turns out I don't like Ansys very much. So there's not much here. I'm much more into Mathematica these days.
There are very few Ansys examples dealing with electromagnetics. I had some initial difficulty working them out so I’ve put some examples up here.
I had to modify ansys-mod.el to get it to work with a new version of emacs. I didn’t know what I was doing, but it works passably now. See the result here. Unfortunately the original file is no longer being maintained. If you come across a copy that works correctly, I'd love to hear it.
Square cells: an array cooking lesson
(The PracTeX Journal 2005 no. 2)
Advanced font features with XeTeX: the fontspec package
(pdf)
(TUGboat 2005 vol. 26, no. 3)
An exploration of the Latin Modern fonts
(The PracTeX Journal 2006 no. 1)
Productivity with macros and packages
(The PracTeX Journal 2006 no. 3)
I did have a listing of some of my LaTeX packages here; see my code repository for a complete list and the latest versions of each.
Here are some MATLAB scripts and functions that I often use:
handle = fig('figure string');
savefig( <filename> , <font name> , <font size> , <width> , <height> );
The fontname may be one of the Base14 Postscript fonts,
such as 'Times-Roman', 'Helvetica', or 'Palatino'. I use
the remaining three arguments in order to create the EPS
exactly as I like with the correct fontsize and dimensions
for the document I'm placing it in. Default values are:
(always requires a filename without an extension)
savefig( <filename> , 'Palatino' , 10 , 11 , 8 );
figure; hold on;
x = 1:10;
plot(x,x,'Tag','Positive slope');
plot(x,-x,'Tag',Negative slope');
labelplot;
The advantage to this technique is that plots may be
created with a variety of m-files, and a custom legend
need not be written to label each data set. That is, the
above is equivalent to the following:
plot(x,x); plot(x,-x);
legend('Positive slope','Negative slope')
See the legend help pages for more details. Updated 2007/12.
figure; hold on
plot(1:10,'.-');
plot(10:-1:1,'o-');
legend({'one' 'two'},'location','north')
legendshrink
See the help for more details.
timestamp('wspr')
produces
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09-May-2007 18:28:02 ~ wspr