An Introduction to Renormalization
Problem sets, solutions, and accompanying code to accompany the 2017 Santa Fe Institute MOOC on Renormalization

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Problem Set

Solution Set

Learning by doing — how to coarse-grain the chess games of Gary Kasparov. (Python code) You’ll need Kasparov’s PGN files.
markov.nb — renormalization group flow to the submanifold (Mathematica notebook) — two robots playing Markovian strategies in a repeated game of Rock-Paper-Scissors. — Python code to implement the Israeli & Goldenfeld cellular automata coarse-graining.

Inventing a course, or “Why it took so long” (a short post on the forum)