John Urschel, an offensive lineman for the Baltimore Ravens, recently co-authored a paper in the Journal of Computational Mathematics. It is titled "A Cascadic Multigrid Algorithm for Computing the Fiedler Vector of Graph Laplacians".
Please learn more about Mr. Urschel in Bloomberg.
Bringing Jobs Back to U.S. Is Bruising Task
By TIMOTHY AEPPEL
Two reminders of this song in one day - while jogging on the sand in Miami Beach and reading a friend's facebook post. It also reminds me of my first year as a grad student at Harvard. Back then I was studying Applied Math/Geophysical Fluid Dynamics because my thesis advisor would only work with students who essentially had 3 concentrations - math theory, numerical analysis and a real world application.
So, my advisor had this brilliant idea of having me spend a summer on a Woodshole Oceanographic research vessel. After a few months in the middle of the Atlantic ocean - collecting water samples and temperature data - I decided I was not cut out to be an oceanographer. So when I returned to Harvard for the fall semester of my second year in grad school I decided to switch to Applied Math/Energy.
In my really geeky days, I used to wear a t-shirt with Maxwell's equations on the front side. LOL!
Please read more here.
Architect David Hotson gives Bloomberg Pursuits magazine a tour of the House of Math apartment.
To help Hotson along, his mathematically minded client sent him his dissertation, about an algorithm capable of discerning the structure underpinning complex sequences of symbols: a Bach partita, a human genome, a sonnet.
It turns out that if you feed in enough data, a computer can deduce the principles of counterpoint, heredity and Elizabethan verse. Hotson similarly used raw computing power — and a 3-D laser scan of the unfinished space — to render a design that previous generations could hardly have visualized, let alone built.