Chaotic Evolution and Attractors: The Statistical Analysis of Time Series for Deterministic Nonlinear Systems (Lezioni Lincee)

Ruelle

ISBN 10: 0521368308 / ISBN 13: 9780521368308

Published by Cambridge University Press, 1989

About this Item

This book, based on lectures given in Rome in 1987, is an account of systems that display a chaotic time evolution. The evolution, though deterministic, has features more characteristic of stochastic systems. The analysis presented here is based on a technique known as time series analysis. Series Editor(s): Brozolo, Luigi A. Radicati di. Series: Lezioni Lincee. Num Pages: 112 pages, 30 line diagrams, references, bibliography. BIC Classification: PBWS. Category: (U) Tertiary Education (US: College). Dimension: 216 x 138 x 7. Weight in Grams: 150. . 2008. paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780521368308

Bibliographic Details

• Title: Chaotic Evolution and Attractors: The Statistical Analysis of Time Series for Deterministic Nonlinear Systems (Lezioni Lincee)
• Publisher: Cambridge University Press
• Publication Date: 1989
• Language: English
• ISBN 10: 0521368308
• ISBN 13: 9780521368308
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This book, based on lectures given at the Accademia dei Lincei, is an accessible and leisurely account of systems that display a chaotic time evolution. This behaviour, though deterministic, has features more characteristic of stochastic systems. The analysis here is based on a statistical technique known as time series analysis and so avoids complex mathematics, yet provides a good understanding of the fundamentals. Professor Ruelle is one of the world's authorities on chaos and dynamical systems and his account here will be welcomed by scientists in physics, engineering, biology, chemistry and economics who encounter nonlinear systems in their research.

From the Back Cover

This book, based on lectures given at the Academia dei Lincei, is an accessible and leisurely account of systems that display a chaotic time evolution. This behavior, though deterministic, has features more characteristic of stochastic systems.