Lecture

Belief Propagation for Graph Coloring

In course

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Description

This lecture covers the concept of Belief Propagation for graph coloring, focusing on the probability distribution and inverse temperature. It explains the process of finding fixed points and the implications for graph coloring. The lecture delves into the challenges of anti-ferromagnetic interactions and the convergence properties of the algorithm.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_a4nryuxj

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Analysis: Differential anaysis

Physics

Condensed matter physics: Phase transitions

Thermodynamics: Statistical mechanics

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