Lecture

Belief Propagation for Graph Coloring

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.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.