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Statistical Physics, Optimization, Inference, and Message-Passing AlgorithmsLecture Notes of the Les Houches School of Physics: Special Issue, October 2013$
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Florent Krzakala, Federico Ricci-Tersenghi, Lenka Zdeborova, Riccardo Zecchina, Eric W. Tramel, and Leticia F. Cugliandolo

Print publication date: 2015

Print ISBN-13: 9780198743736

Published to Oxford Scholarship Online: March 2016

DOI: 10.1093/acprof:oso/9780198743736.001.0001

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Cavity method: message-passing from a physics perspective

Cavity method: message-passing from a physics perspective

Chapter:
(p.95) 4 Cavity method: message-passing from a physics perspective
Source:
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms
Author(s):

Marc Mézard

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198743736.003.0004

The cavity method is introduced as a heuristic framework from a physics perspective to solve probabilistic graphical models and is presented at both the replica symmetry (RS) and one-step replica symmetry breaking (1RSB) levels. This technique has been applied with success to a wide range of models and problems, such as spin glasses, random constraint satisfaction problems (rCSP), and error correcting codes. First, the RS cavity solution for the Sherrington–Kirkpatrick model—a fully connected spin glass model—is derived and its equivalence to the RS solution obtained using replicas is discussed. The general cavity method for diluted graphs is then illustrated at both RS and 1RSB levels. The latter was a significant breakthrough in the last decade and has direct applications to rCSP. Finally, as an example of an actual problem, k-SAT is investigated using belief and survey propagation.

Keywords:   cavity method, replica method, replica symmetry breaking, Sherrington–Kirkpatrick model, graphical model, random constraint satisfaction problem, belief propagation, survey propagation

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