This revised and updated version of a classic introduction to deterministic chaos views the field from a physicist's point of view. This edition contains new sections on sensitive parameter dependence, fat fractals, characterization of attractors by scaling indices, the Farey tree, and the notion of global universality. The book answers basic questions such as what is deterministic chaos, how is it generated, where does it occur, and what can one learn from a chaotic signal? It also explains advanced concepts such as bifurcations, intermittency, Liapunov exponents, functional renormalization groups, and strange attractors. The book requires no background beyond that possessed by a graduate student in physics.
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Heinz Georg Schuster Deterministic Chaos An Introduction This third edition of Deterministic Chaos has been updated and augmented with an extra chapter on "controlling chaos". Deterministic Chaos has been translated into Japanese, Chinese, Russian, Polish, and German, and has become a standard text for students and researchers who need a concise introduction into the field of chaos. From reviews of a previous edition: In this book, Schuster gives a very useful summary of the main ideas of the subject as it now stands. Although a physicist by training and style, he organizes his treatment by the logic of the mathematics, which is based on the concept of a dynamical system. Students about to begin research into chaos, and practising scientists new to the subject, will find this book well worth reading. Nature This text sets a standard which other authors and publishers in physics should strive to meet. Physics Bulletin
Heinz Georg Schuster is Professor of Theoretical Physics at the University of Kiel in Germany. In 1971 he attained his doctorate and in 1976 he was appointed Professor at the University of Frankfurt am Main in Germany. He has been a visiting professor at the Weizmann-Institute of Science in Israel and the California Institute of Technology in Pasadena, USA. His current research interests are nonlinear dynamics of complex adaptive systems and neuronal networks.
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