Information, Physics, and Computation (Hardcover)

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. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large random instances and adopts a common probabilistic 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 study phase transitions.

General

Imprint:	Oxford UniversityPress
Country of origin:	United Kingdom
Series:	Oxford Graduate Texts
Release date:	2009
First published:	March 2009
Authors:	Marc Mezard • Andrea Montanari
Dimensions:	254 x 177 x 34mm (L x W x T)
Format:	Hardcover
Pages:	584
ISBN-13:	978-0-19-857083-7
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
LSN:	0-19-857083-X
Barcode:	9780198570837

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