Applied analysis

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1. drallisonAug 2015
   It's always interesting to review numerical mathematics at this level. If this interests you, you may want to read C Lanczos's book Applied Analysis and Hank Warren's book Hackers Delight as well as the classic MIT HAKMEM report available on the Web. On machines with highly asymmetric architectures it's sometimes worthwhile to use a superoptimizer approach (https://en.wikipedia.org/wiki/Superoptimization). See the classic paper by Alexia Massalin and the gnu implementation.
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2. gsf_emergency_6Dec 2025
   Have you asked LLMs about the VASP codebase? With special reference to Tomas Arias' flow-chart(s) [0]

   Grad students these days will need to figure out their Altman-informed version of radiance (maybe easier if they spend more time on some dank corners of HN).

   I'm jealous you found Chandrasekhar :) going to look at this to train understanding of human and/or AI pedagogy.

   I too have my favorite Dover books (Lanczos, Yaglom, the "Green books") but I can't say I got any general techne out of them (yet)

   https://www.amazon.com/Applied-Analysis-Cornelius-Lanczos/dp...

   These are the underappreciated infra born of the preAI cold-war times (doubt postsoviet mathematicians have an equivalent. Especially not "Bourbaki" =P)!

   Worth recommending to gen-A/Z so they have an inkling what semifunctional social infra looked like before *verflow/*stackexchange

   [0] https://www.linkedin.com/posts/juarezlfdasilva_flowchart-of-...

   Or page 95 https://dspace.mit.edu/bitstream/handle/1721.1/8282/50420077...

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