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Titlebook: Computational Statistical Physics; From Billiards to Mo Karl Heinz Hoffmann,Michael Schreiber Book 2002 Springer-Verlag Berlin Heidelberg 2

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书目名称Computational Statistical Physics
副标题From Billiards to Mo
编辑Karl Heinz Hoffmann,Michael Schreiber
视频video
概述Illustrates how advances in numerical computing have contributed to progress in many areas of statistical physics and beyond (e.g. financial theory, evolution, traffic planning).Contains up-to-date tu
图书封面Titlebook: Computational Statistical Physics; From Billiards to Mo Karl Heinz Hoffmann,Michael Schreiber Book 2002 Springer-Verlag Berlin Heidelberg 2
描述In recent years statistical physics has made significant progress as a result of advances in numerical techniques. While good textbooks exist on the general aspects of statistical physics, the numerical methods and the new developments based on large-scale computing are not usually adequately presented. In this book 16 experts describe the application of methods of statistical physics to various areas in physics such as disordered materials, quasicrystals, semiconductors, and also to other areas beyond physics, such as financial markets, game theory, evolution, and traffic planning, in which statistical physics has recently become significant. In this way the universality of the underlying concepts and methods such as fractals, random matrix theory, time series, neural networks, evolutionary algorithms, becomes clear. The topics are covered by introductory, tutorial presentations.
出版日期Book 2002
关键词Computational physics; Computer simulations; Condensed matter physics; Numerical methods in physics; Tim
版次1
doihttps://doi.org/10.1007/978-3-662-04804-7
isbn_softcover978-3-642-07571-1
isbn_ebook978-3-662-04804-7
copyrightSpringer-Verlag Berlin Heidelberg 2002
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Combinatorial Optimization and High Dimensional Billiards,nce also requires averages over such extrema. In this chapter we show how simple dynamic systems like billiards can be used to find solutions for such problems. The topics covered are linear and quadratic programming, classification, and Bayesian mixture problems.
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Predicting and Generating Time Series by Neural Networks: An Investigation Using Statistical Physic prediction error, antipredictable sequences, interacting perceptrons and application to the minority game are discussed. Finally, as a demonstration, a perceptron predicts bit sequences produced by human beings.
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Nonlinear Dynamics of Active Brownian Particles,ic theory. First we study the statistical properties for one-dimensional systems of . masses connected by Toda springs which are imbedded in a heat bath. Including negative friction, we find . + 1 attractors of motion, including an attractor describing dissipative soli-tons. Noise leads to transitio
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