Lecture

Markov Chains and Algorithm Applications

In course

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Description

This lecture covers the application of Markov chains and algorithms, focusing on the Metropolis-Hastings algorithm and simulated annealing for function optimization and graph colorings. It explains the process of applying these algorithms and their significance in finding global minima.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_i8majtai

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Mathematical optimization: Metaheuristics

Statistics

Statistical inference: Bayesian inference

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