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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Information, Physics, and Computation

Mézard, Marc, Montanari, Andrea·2009

Abstract

This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. The topics which have been selected, including spin glasses, error correcting codes, satisfiability, are central to each field. The approach focuses on the limit of large random instances, adopting a common formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving. It also explains analysis techniques like density evolution and the cavity method, and uses them to derive phase diagrams and study phase transitions.

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Crossref · 10.1093/acprof:oso/9780198570837.001.0001

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Metadata

Authors
Mézard, M., & Montanari, A.
Published
2009-01-22
OpenAlex
W2566505556
Cited by
1,913
References
8
FWCI
74.20
Type
book
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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