Information, Physics, and Computation
| AUTHOR | Mã(c)Zard, Marc; Montanari, Andrea; Mzard, Marc et al. |
| PUBLISHER | Academic (03/27/2009) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
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.
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Product Format
Product Details
ISBN-13:
9780198570837
ISBN-10:
019857083X
Binding:
Hardback or Cased Book (Unsewn / Adhesive Bound)
Content Language:
English
More Product Details
Page Count:
584
Carton Quantity:
6
Product Dimensions:
6.80 x 1.30 x 9.80 inches
Weight:
2.80 pound(s)
Feature Codes:
Bibliography,
Index,
Table of Contents,
Illustrated
Country of Origin:
GB
Subject Information
BISAC Categories
Science | Physics - Mathematical & Computational
Science | General
Dewey Decimal:
530.13
Library of Congress Control Number:
2009277920
Descriptions, Reviews, Etc.
publisher marketing
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.
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List Price $125.00
Your Price
$123.75