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Spin Glasses and Complexity
Charles M. Newman, Daniel L. Stein
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Naturwissenschaften, Medizin, Informatik, Technik / Naturwissenschaften allgemein
Beschreibung
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.
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Energy level, Glass transition, Dimension, Boltzmann distribution, Emergence, Universality class, Protein, Computer scientist, Thermodynamic limit, Thermodynamic state, Time complexity, Heat capacity, Attractor, Molecule, Chaos theory, Quantity, Metastability, Ground state, Subset, Physicist, Mathematician, Artificial neural network, Probability, Magnetization, Quantum state, Energy landscape, Degrees of freedom (mechanics), Free energy, Boundary value problem, Complex systems, Mean field theory, Optimization problem, Mathematical optimization, Excitation (magnetic), Magnet, Cryogenics, Lattice constant, Random variable, Spin glass, NK model, Physical law, Symmetry breaking, Antiferromagnetism, Phase transition, Suggestion, Mathematics, Magnetic moment, Statistical mechanics, Crystal structure, Thermodynamics, Ferromagnetism, Phase (matter), Magnetic susceptibility, Ising model, Magnetic field, Rotational symmetry, Non-equilibrium thermodynamics, Probability distribution, Temperature, Algorithm, Turing machine, Normal distribution, Magnetism, Dynamical system, Paramagnetism, Quantum mechanics, Theory, Combinatorial optimization, Complexity, Thermodynamic equilibrium