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Statistical Physics, Optimization, Inference, and Message-Passing Algorithms : Lecture Notes of the Les Houches School of Physics: Special Issue, October 2013

By: (Edited by) Eric W. Tramel , (Edited by) Federico Ricci-Tersenghi , (Edited by) Florent Krzakala , (Edited by) Lenka Zdeborova , (Edited by) Leticia F. Cugliandolo , (Edited by) Riccardo Zecchina

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Ksh 12,750.00

Format: Hardback or Cased Book

ISBN-10: 0198743734

ISBN-13: 9780198743736

Series: Lecture Notes of the Les Houches Summer School

Publisher: Oxford University Press

Imprint: Oxford University Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 17th, 2015

Print length: 320 Pages

Weight: 694 grams

Dimensions (height x width x thickness): 25.60 x 17.80 x 2.10 cms

Product Classification: Statistical physics
Mathematical physics
Computer science
Mathematical theory of computation

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The book gathers the lecture notes of the Les Houches Summer School that was held in October 2013 for an audience of advanced graduate students and post-doctoral fellows in statistical physics, theoretical physics, machine learning and computer science.
In the last decade, there have been an increasing convergence of interest and methods between theoretical physics and fields as diverse as probability, machine learning, optimization and compressed sensing. In particular, many theoretical and applied works in statistical physics and computer science have relied on the use of message passing algorithms and their connection to statistical physics of spin glasses. The aim of this book, especially adapted to PhD students, post-docs, and young researchers, is to present the background necessary for entering this fast developing field.

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