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An Introduction To The Theory Of Spin Glasses And Neural Networks


An Introduction To The Theory Of Spin Glasses And Neural Networks
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An Introduction To The Theory Of Spin Glasses And Neural Networks


An Introduction To The Theory Of Spin Glasses And Neural Networks
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Author : Viktor Dotsenko
language : en
Publisher: World Scientific
Release Date : 1994

An Introduction To The Theory Of Spin Glasses And Neural Networks written by Viktor Dotsenko and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Science categories.


This book aims to describe in simple terms the new area of statistical mechanics known as spin-glasses, encompassing systems in which quenched disorder is the dominant factor. The book begins with a non-mathematical explanation of the problem, and the modern understanding of the physics of the spin-glass state is formulated in general terms. Next, the 'magic' of the replica symmetry breaking scheme is demonstrated and the physics behind it discussed. Recent experiments on real spin-glass materials are briefly described to demonstrate how this somewhat abstract physics can be studied in the laboratory. The final chapters of the book are devoted to statistical models of neural networks.The material here is self-contained and should be accessible to students with a basic knowledge of theoretical physics and statistical mechanics. It has been used for a one-term graduate lecture course at the Landau Institute for Theoretical Physics.



An Introduction To The Theory Of Spin Glasses And Neural Networks


An Introduction To The Theory Of Spin Glasses And Neural Networks
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Author : V Dotsenko
language : en
Publisher: World Scientific
Release Date : 1995-01-16

An Introduction To The Theory Of Spin Glasses And Neural Networks written by V Dotsenko and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-16 with Science categories.


This book aims to describe in simple terms the new area of statistical mechanics known as spin-glasses, encompassing systems in which quenched disorder is the dominant factor. The book begins with a non-mathematical explanation of the problem, and the modern understanding of the physics of the spin-glass state is formulated in general terms. Next, the 'magic' of the replica symmetry breaking scheme is demonstrated and the physics behind it discussed. Recent experiments on real spin-glass materials are briefly described to demonstrate how this somewhat abstract physics can be studied in the laboratory. The final chapters of the book are devoted to statistical models of neural networks.The material here is self-contained and should be accessible to students with a basic knowledge of theoretical physics and statistical mechanics. It has been used for a one-term graduate lecture course at the Landau Institute for Theoretical Physics.



Spin Glasses And Complexity


Spin Glasses And Complexity
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Author : Daniel L. Stein
language : en
Publisher: Princeton University Press
Release Date : 2013-01-15

Spin Glasses And Complexity written by Daniel L. Stein and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Science categories.


Spin glasses are disordered magnetic systems that have led to the development of mathematical tools with an array of real-world applications, from airline scheduling to neural networks. Spin Glasses and Complexity offers the most concise, engaging, and accessible introduction to the subject, fully explaining what spin glasses are, why they are important, and how they are opening up new ways of thinking about complexity. This one-of-a-kind guide to spin glasses begins by explaining the fundamentals of order and symmetry in condensed matter physics and how spin glasses fit into--and modify--this framework. It then explores how spin-glass concepts and ideas have found applications in areas as diverse as computational complexity, biological and artificial neural networks, protein folding, immune response maturation, combinatorial optimization, and social network modeling. Providing an essential overview of the history, science, and growing significance of this exciting field, Spin Glasses and Complexity also features a forward-looking discussion of what spin glasses may teach us in the future about complex systems. This is a must-have book for students and practitioners in the natural and social sciences, with new material even for the experts.



Statistical Physics Of Spin Glasses And Information Processing


Statistical Physics Of Spin Glasses And Information Processing
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Author : Hidetoshi Nishimori
language : en
Publisher: Clarendon Press
Release Date : 2001

Statistical Physics Of Spin Glasses And Information Processing written by Hidetoshi Nishimori and has been published by Clarendon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.


Spin glasses are magnetic materials. Statistical mechanics, a subfield of physics, has been a powerful tool to theoretically analyse various unique properties of spin glasses. A number of new analytical techniques have been developed to establish a theory of spin glasses. Surprisingly, these techniques have turned out to offer new tools and viewpoints for the understanding of information processing problems, including neural networks, error-correcting codes, image restoration, and optimization problems. This book is one of the first publications of the past ten years that provide a broad overview of this interdisciplinary field. Most of the book is written in a self-contained manner, assuming only a general knowledge of statistical mechanics and basic probability theory. It provides the reader with a sound introduction to the field and to the analytical techniques necessary to follow its most recent developments



Spin Glass Theory And Beyond An Introduction To The Replica Method And Its Applications


Spin Glass Theory And Beyond An Introduction To The Replica Method And Its Applications
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Author : Marc Mezard
language : en
Publisher: World Scientific Publishing Company
Release Date : 1987-11-01

Spin Glass Theory And Beyond An Introduction To The Replica Method And Its Applications written by Marc Mezard and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-11-01 with Science categories.


This book contains a detailed and self-contained presentation of the replica theory of infinite range spin glasses. The authors also explain recent theoretical developments, paying particular attention to new applications in the study of optimization theory and neural networks. About two-thirds of the book are a collection of the most interesting and pedagogical articles on the subject.



Quantum Spin Glasses Annealing And Computation


Quantum Spin Glasses Annealing And Computation
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Author : Shu Tanaka
language : en
Publisher: Cambridge University Press
Release Date : 2017-05-04

Quantum Spin Glasses Annealing And Computation written by Shu Tanaka and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-04 with Computers categories.


"Discusses the recent developments in quantum statistical physics of spin glasses and quantum computations"--Provided by publisher.



Why Machines Learn


Why Machines Learn
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Author : Anil Ananthaswamy
language : en
Publisher: Random House
Release Date : 2024-07-16

Why Machines Learn written by Anil Ananthaswamy and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Computers categories.


'An invaluable companion for anyone who wants a deep understanding of what’s under the hood of often inscrutable machines' Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems. We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules. As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.



Spin Glasses A Challenge For Mathematicians


Spin Glasses A Challenge For Mathematicians
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Author : Michel Talagrand
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-07-11

Spin Glasses A Challenge For Mathematicians written by Michel Talagrand and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-11 with Computers categories.


In the eighties, a group of theoretical physicists introduced several models for certain disordered systems, called "spin glasses". These models are simple and rather canonical random structures, that physicists studied by non-rigorous methods. They predicted spectacular behaviors, previously unknown in probability theory. They believe these behaviors occur in many models of considerable interest for several branches of science (statistical physics, neural networks and computer science). This book introduces in a rigorous manner this exciting new area to the mathematically minded reader. It requires no knowledge whatsoever of any physics, and contains proofs in complete detail of much of what is rigorously known on spin glasses at the time of writing.



Lattice Gauge Theories An Introduction Third Edition


Lattice Gauge Theories An Introduction Third Edition
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Author : Heinz J Rothe
language : en
Publisher: World Scientific Publishing Company
Release Date : 2005-06-17

Lattice Gauge Theories An Introduction Third Edition written by Heinz J Rothe and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-17 with Science categories.


This book provides a broad introduction to gauge field theories formulated on a space-time lattice, and in particular of QCD. It serves as a textbook for advanced graduate students, and also provides the reader with the necessary analytical and numerical techniques to carry out research on his own. Although the analytic calculations are sometimes quite demanding and go beyond an introduction, they are discussed in sufficient detail, so that the reader can fill in the missing steps. The book also introduces the reader to interesting problems which are currently under intensive investigation. Whenever possible, the main ideas are exemplified in simple models, before extending them to realistic theories. Special emphasis is placed on numerical results obtained from pioneering work. These are displayed in numerous figures.



Convexity And Connectivity Of The Solution Space In Machine Learning Problems


Convexity And Connectivity Of The Solution Space In Machine Learning Problems
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Author : Maxime Hardy
language : en
Publisher: Scientia Rerum (academic publishers), Paris
Release Date : 2019-01-24

Convexity And Connectivity Of The Solution Space In Machine Learning Problems written by Maxime Hardy and has been published by Scientia Rerum (academic publishers), Paris this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-24 with Mathematics categories.


ScientiaRerum Thesis — 2018. This thesis investigates properties of the solution space of the machine-learning problem of random pattern classification. Such properties as convexity of the space of solutions, its connectivity and clusterization are studied. Evidence has been provided recently that there exists a universality class for random pattern classification models, making it possible to study the properties of the whole set of constraint satisfaction problems using the most simple model, the perceptron with spherical constraint: it is exactly solvable and exhibits the full stack of charactetistic properties of that class. In order to obtain statistically representative treatment of the model (as opposed to the best/worst-case scenarios), we used the well established methods of theoretical physics of disordered systems (a.k.a. spin glasses). In terms of that science, this model can be interpreted as a random packing problem and demonstrates the phenomenology of slow glassy relaxation and a jamming transition. The specific property of that model is that the corresponding constraint satisfaction problems ceases to be convex. The non-convex domain is exproled in detail in this thesis and its structure is presented on a phase diagram.Publisher : Scientia Rerum (academic publishers), Paris