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Information, Physics, and Computation (Anglais) Relié – 22 janvier 2009


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Descriptions du produit

Revue de presse

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). [...] 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. (Mathematical Reviews)

Information, Physics, and Computation is self-contained and should be accessible to any graduate student with a good background in probability theory and analysis. [] Information, Physics, and Computation stimulates that cross-disciplinary dialog, which is always desirable because from it, new perspectives emerge. (Physics Today)

Présentation de l'éditeur

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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Amazon.com: 3 commentaires
16 internautes sur 17 ont trouvé ce commentaire utile 
A good introduction to a multidisciplinary problem area 22 mai 2009
Par Yogi Bear - Publié sur Amazon.com
Format: Relié
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.
1 internautes sur 1 ont trouvé ce commentaire utile 
Clear Exposition of Exciting Field 8 janvier 2014
Par Trip - Publié sur Amazon.com
Format: Relié Achat vérifié
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.
Useful book, interesting materials on the boundary of information ... 22 avril 2015
Par lisa zhang - Publié sur Amazon.com
Format: Relié Achat vérifié
Useful book, interesting materials on the boundary of information theory, combinatorics and statistical physics. But can be hard to read since it's fairly technical
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