This is an excellent introduction for the multidiscipinary area that combines physics, information theory, and computer science. The approach focuses on large random instances and adopts a common probabilistic formulation in terms of graphical models.
Please try again Impressive in both its breadth and depth.This shopping feature will continue to load items when the Enter key is pressed. Date: 03/27/2009 Publisher: Oxford University Press, USA. Marc Mézard and Andrea Montanari Abstract 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 also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions.
Landmark book in a new field; Defines a common set of concepts and common language for three disciplines which used to work independently; Self-contained, precise.
Information Theory, Inference and Learning Algorithms Add to Wishlist. Amazon calculates a product’s star ratings based on a machine learned model instead of a raw data average. In order to navigate out of this carousel please use your heading shortcut key to navigate to the next or previous heading. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large random instances, adopting a common probabilistic formulation in terms of graphical models.
It is accessible to graduate students and researchers without a specific training in any of these fields.
Information, Physics, and Computation (Oxford Graduate Texts) 1st Edition by Marc Mézard (Author), Andrea Montanari (Author) › Visit Amazon's Andrea Montanari Page. Information, Physics, and Computation Marc Mézard and Andrea Montanari Oxford Graduate Texts. Clearly written exposition of an exciting, interdisciplinary field of research. There was an error retrieving your Wish Lists. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books.
It starts An excellent overview of an active research field. by Marc Mezard, Andrea Montanari ... Dr Andrea Montanari Find all the books, read about the author, and more. This title is available as an ebook. Your recently viewed items and featured recommendations Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis Information, Physics, and Computation Marc Mézard , Andrea Montanari 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. ... Andrea Montanari received a Laurea degree in Physics in 1997, and a Ph. But can be hard to read since it's fairly technical
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High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics) Marc Mézard, Andrea Montanari. Do be advised that shipments may be delayed due to extra safety precautions implemented at our centres and delays with local shipping carriers.Please contact our Customer Service Team if you have any questions. To get the free app, enter your mobile phone number. It also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions.Oxford University Press is a department of the University of Oxford. About this title: Synopsis: 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. Information, Physics, and Computation (Oxford Graduate Texts) It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving.
This is an introduction to a rich and rapidly evolving research field at the interface between statistical physics, theretical computer sciencediscrete mathematics, and codinginformation theory.
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control ISBN-10: 019857083X ISBN-13: 9780198570837 Pub.
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This item is temporarily out of stock, but may be ordered now for delivery when back in stock. To purchase, visit your preferred ebook provider.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.
Information, Physics, and Computation .