Brian presented on combinatorial optimization, specifically, some approximation algorithms for the (metric) traveling salesman problem.
The best1 among them, Christofides Algorithm, creatively combines many other classic graph algorithms.
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I might be lying; come to find out why. ↩
Previous: Sampling a Gaussian Markov random field on a torus
For Valentine’s day, Stephen talked about efficient algorithms for sampling a stationary random field defined on a torus. Sugar-topped flour tori will be provided.
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