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Spin glasses and complexity /
"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, f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Princeton :
Princeton University Press,
©2013.
|
| Colección: | Primers in complex systems.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Stein, Daniel L. | |
| 245 | 1 | 0 | |a Spin glasses and complexity / |c Daniel L. Stein, Charles M. Newman. |
| 260 | |a Princeton : |b Princeton University Press, |c ©2013. | ||
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Primers in complex systems | |
| 520 | |a "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"-- |c Provided by publisher | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Title; Copyright; Contents; Preface; Introduction: Why Spin Glasses?; 1. Order, Symmetry, and the Organization of Matter; 1.1 The Symmetry of Physical Laws; 1.2 The Hamiltonian; 1.3 Broken Symmetry; 1.4 The Order Parameter; 1.5 Phases of Matter; 1.6 Phase Transitions; 1.7 Summary: The Unity of Condensed Matter Physics; 2. Glasses and Quenched Disorder; 2.1 Equilibrium and Nonequilibrium; 2.2 The Glass Transition; 2.3 Localization; 3. Magnetic Systems; 3.1 Spin; 3.2 Magnetism in Solids; 3.3 The Paramagnetic Phase; 3.4 Magnetization. | |
| 505 | 8 | |a 3.5 The Ferromagnetic Phase and Magnetic Susceptibility3.6 The Antiferromagnetic Phase; 3.7 Broken Symmetry and the Heisenberg Hamiltonian; 4. Spin Glasses: General Features; 4.1 Dilute Magnetic Alloys and the Kondo Effect; 4.2 A New State of Matter?; 4.3 Nonequilibrium and Dynamical Behavior; 4.4 Mechanisms Underlying Spin Glass Behavior; 4.5 The Edwards-Anderson Hamiltonian; 4.6 Frustration; 4.7 Dimensionality and Phase Transitions; 4.8 Broken Symmetry and the Edwards-Anderson Order Parameter; 4.9 Energy Landscapes and Metastability; 5. The Infinite-Range Spin Glass; 5.1 Mean Field Theory. | |
| 505 | 8 | |a 5.2 The Sherrington-Kirkpatrick Hamiltonian5.3 A Problem Arises; 5.4 The Remedy; 5.5 Thermodynamic States; 5.6 The Meaning of Replica Symmetry Breaking; 5.7 The Big Picture; 6. Applications to Other Fields; 6.1 Computational Time Complexity and Combinatorial Optimization; 6.2 Neural Networks and Neural Computation; 6.3 Protein Folding and Conformational Dynamics; 6.4 Short Takes; 7. Short-Range Spin Glasses: Some Basic Questions; 7.1 Ground States; 7.2 Pure States; 7.3 Scenarios for the Spin Glass Phase of the EA Model; 7.4 The Replica Symmetry Breaking and Droplet/Scaling Scenarios. | |
| 505 | 8 | |a 7.5 The Parisi Overlap Distribution7.6 Self-Averaging and Non-Self-Averaging; 7.7 Ruling Out the Standard RSB Scenario; 7.8 Chaotic Size Dependence and Metastates; 7.9 A New RSB Scenario; 7.10 Two More (Relatively) New Scenarios; 7.11 Why Should the SK Model Behave Differently from the EA Model?; 7.12 Summary: Where Do We Stand?; 8. Are Spin Glasses Complex Systems?; 8.1 Three Foundational Papers; 8.2 Spin Glasses as a Bridge to Somewhere; 8.3 Modern Viewpoints on Complexity; 8.4 Spin Glasses: Old, New, and Quasi-Complexity; Notes; Glossary; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R. | |
| 505 | 8 | |a ST; U; W; Z; Bibliography; Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W; Y. | |
| 546 | |a In English. | ||
| 590 | |a JSTOR |b Books at JSTOR Evidence Based Acquisitions | ||
| 590 | |a JSTOR |b Books at JSTOR Demand Driven Acquisitions (DDA) | ||
| 590 | |a JSTOR |b Books at JSTOR All Purchased | ||
| 650 | 0 | |a Spin glasses. | |
| 650 | 0 | |a Computational complexity. | |
| 650 | 6 | |a Verres de spin. | |
| 650 | 6 | |a Complexité de calcul (Informatique) | |
| 650 | 7 | |a SCIENCE |x Physics |x Condensed Matter. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Chaotic Behavior in Systems. |2 bisacsh | |
| 650 | 7 | |a Computational complexity. |2 fast |0 (OCoLC)fst00871991 | |
| 650 | 7 | |a Spin glasses. |2 fast |0 (OCoLC)fst01129812 | |
| 700 | 1 | |a Newman, Charles M. |q (Charles Michael), |d 1946- | |
| 776 | 0 | 8 | |i Print version: |a Stein, Daniel L. |t Primers in complex systems. |d Princeton : Princeton University Press, ©2013 |z 9780691147338 |w (DLC) 2012017289 |w (OCoLC)788265564 |
| 830 | 0 | |a Primers in complex systems. | |
| 856 | 4 | 0 | |u https://jstor.uam.elogim.com/stable/10.2307/j.ctt12f4hf |z Texto completo |
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