Mathematical Aspects of Spin Glasses and Neural Networks (Progress in Probability) [Hardcover]

Anton Bovier (Author), Pierre Picco (Author)

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Book Description

Series: Progress in Probability | Publication Date: December 18, 1997

Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural networks. It should be useful to mathematicians in probability theory and theoretical physics, and to engineers working in theoretical computer science.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural networks. It should be useful to mathematicians in probability theory and theoretical physics, and to engineers working in theoretical computer science.

Product Details

Hardcover: 396 pages
Publisher: Birkh�user Boston; 1 edition (December 18, 1997)
Language: English
ISBN-10: 0817638636
ISBN-13: 978-0817638634
Product Dimensions: 9.6 x 6.4 x 1 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #3,273,617 in Books (See Top 100 in Books)

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Inside This Book (learn more)

Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Curie Weiss, Hopfield Hamiltonian, World Scientific, Sherrington Kirkpatrick, Academic Press, N-dimensional Brownian, Princeton University Press, Theory Relat

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Citations (learn more)

This book cites 25 books:

Spin Glasses (Lecture Notes in Mathematics) by Erwin Bolthausen in Front Matter, page 286, and Back Matter
Gibbs Measures And Phase by Hans-Otto Georgii on page 86, page 286, and page 317
Topics in Disordered Systems (Lectures in Mathematics. ETH Z�rich) by Charles M. Newman on page 88, page 159, and page 286
Models of Neural Networks (Physics of Neural Networks) by E. Domany on page 85, and page 182
Entropy, Large Deviations, and Statistical Mechanics (Classics in Mathematics) by Richard Ellis on page 86, and page 149

See all 25 books this book cites

9 books cite this book:

Statistical Mechanics of Disordered Systems: A Mathematical Perspective (Cambridge Series in Statistical and Probabilistic Mathematics) by Anton Bovier in Back Matter
High Dimensional Probability II (Progress in Probability) by Evarist Gin� in Back Matter
Stochastic Analysis and Related Topics IV: The Geilo Workshop, 1996 (Progress in Probability) by Laurent Decreusefond in Back Matter
Probabilistic Behavior of Harmonic Functions (Progress in Mathematics) by Rodrigo Banuelos in Back Matter
Geometric Aspects of Functional Analysis: Israel Seminar 2002-2003 (Lecture Notes in Mathematics) by Vitali D. Milman on page 267

See all 9 books citing this book

Books on Related Topics (learn more)

Topics in Disordered Systems by Charles M. Newman

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