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Information, Physics, and Computation (Oxford Graduate Texts) Hardcover – March 27, 2009

ISBN-13: 978-0198570837 ISBN-10: 019857083X

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Product Details

  • Series: Oxford Graduate Texts
  • Hardcover: 584 pages
  • Publisher: Oxford University Press (March 27, 2009)
  • Language: English
  • ISBN-10: 019857083X
  • ISBN-13: 978-0198570837
  • Product Dimensions: 9.8 x 1.5 x 6.8 inches
  • Shipping Weight: 3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #534,398 in Books (See Top 100 in Books)

Editorial Reviews


"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 Mathematical Reviews

"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

About the Author

Professor Marc Mezard
CNRS Research Director at Université 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 Supérieure. He joined the Université 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 Théorique de l'Ecole Normale Supérieure (LPTENS), Paris, France, and the Mathematical Sciences Research Institute, Berkeley, USA. Since 2002 he is Chargé 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.

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Most Helpful Customer Reviews

16 of 17 people found the following review helpful By Yogi Bear on May 22, 2009
Format: Hardcover
This is an excellent introduction for the multidiscipinary area that combines physics, information theory, and computer science. It starts
from very elementary material, assuming almost zero prior knowledge,
gives a comprehensive treatment of a full plate of concepts and ideas
in these three disciplines, and ends with modern coding theory and its
relationship with statistical mechanics. Personally, I have been using
this book for quite some time and it helped me a great deal. On the down
side, there is some mismatch, along the book, between the degree of
difficulty of the concepts being taught and the level of explanation and
the rigor behind it: There are some relatively simple notions and results
whose explanations are rather lengthy and detailed, whereas on the other
hand, more complicated ideas and results are sometimes explained very
briefly, leaving a lot to be desired. But in spite of this caveat, I still
recommend this book warmly.
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1 of 1 people found the following review helpful By Trip on January 8, 2014
Format: Hardcover Verified Purchase
Clearly written exposition of an exciting, interdisciplinary field of research. the authors have also made many foundational contributions to the field, and their exposition strikes a nice balance between the physics and computer science making it accessible to mathematically inclined students of any of these fields.
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