- Information theory, by Cover and Thomas
- Randomized Algorithms (Motwani-Raghavan): it's an old book, but even when I read it today, I realize just how well it flows.
- Convex Optimization (Boyd/Vandenberghe): there's just something about the typesetting :)
- Computational Complexity (Arora/Barak)
- Convex Analysis (Rockafellar): A model of precision and clarity
- (almost, but not quite in the pantheon): Approximation algorithms, (Vazirani)
Wednesday, January 16, 2008
Bill Gasarch asks about math books you can actually read. This reminded me of my post from over 3 years ago, "Books that read like a thrilller". I'd update that list with