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Statistical Physics, Optimization, Inference and Message-Passing Algorithms : Ecole de Physique des
About this item
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.
Number of Pages: 292
Sub-Genre: Mathematical Physics
Series Title: Lecture Notes of the Les Houches Summer School
Publisher: Oxford Univ Pr
Street Date: February 17, 2016
Item Number (DPCI): 248-04-9175
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