Information, Physics, and Computation
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Information, Physics, and Computation

Information, Physics, and Computation


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About the Book

A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields. -;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 andadopts 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. -

About the Author :
Professor Marc Mezard CNRS Research Director at Universite de Paris Sud and Professor at Ecole Polytechnique, France Marc Mezard received his PhD in 1984. He was hired in CNRS in 1981 and became research director in 1990 at Ecole Normale Superieure. He joined the Universite Paris Sud in 2001. He spent extensive periods in Rome University, in the KITP (Santa Barbara) and in MSRI (Berkeley). Author of about 150 publications, he has been awarded the silver medal of CNRS in 1990 and the Ampere price of the French academy of science in 1996. Dr Andrea Montanari Assistant Professor, Stanford University and CNRS France Andrea Montanari received a Laurea degree in Physics in 1997, and a Ph. D. in Theoretical Physics in 2001 (both from Scuola Normale Superiore in Pisa, Italy). He has been post-doctoral fellow at Laboratoire de Physique Theorique de l'Ecole Normale Superieure (LPTENS), Paris, France, and the Mathematical Sciences Research Institute, Berkeley, USA. Since 2002 he is Charge de Recherche (a permanent research position with Centre National de la Recherche Scientifique, CNRS) at LPTENS. In September 2006 he joined Stanford University as Assistant Professor in the Departments of Electrical Engineering and Statistics. In 2006 he was awarded the CNRS bronze medal for theoretical physics.

Review :
"This book is an excellent graduate-level text on the amazing connections between modern error-correcting codes (information theory), spin glass systems (condensed matter physics), and satisfiability problems (computational complexity). Each chapter has useful exercises and a great amount of background and references for further reading on the material covered. I would expect any researcher working near the intersection of information theory, statistical physics, and combinatorial optimization to find this book to be a highly-valued resource."--James W. Harrington for MathematicalReviews "The authors, who are experts in these domains, open the door to important results coming out of current research in the advanced treatment of complex systems and new ways to look at important problems in computer science, mathematics, and physics."--Computing Reviews


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Product Details
  • ISBN-13: 9780191547195
  • Publisher: Oxford University Press
  • Publisher Imprint: Oxford University Press
  • Language: English
  • ISBN-10: 0191547190
  • Publisher Date: /12/2009
  • Binding: Digital (delivered electronically)
  • No of Pages: 584

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