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Chaos and Time-Series Analysis (Physics)
 
 
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Chaos and Time-Series Analysis (Physics) [Paperback]

Julien Clinton Sprott
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Product details

  • Paperback: 528 pages
  • Publisher: OUP Oxford (16 Jan 2003)
  • Language English
  • ISBN-10: 0198508409
  • ISBN-13: 978-0198508403
  • Product Dimensions: 23.2 x 16.2 x 2.8 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 674,667 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Julien C. Sprott
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Product Description

Review

... comprehensive ... most suitable for systematic study but can also serve as a useful reference work in your library ... an indispensable addition to my bookshelf ... the explanations and support material will fill in the necessary updating of your mathematics ... The extensive and evolving website back-up makes the book unique and even more valuable. It stays up to date as the field evolves. The book is thus perfect for self-instruction, or for use as a classroom textbook, and of course, as a reference work for workers in any field of science. (Nonlinear Dynamics in Psychology and Life Sciences )

Review

... comprehensive ... most suitable for systematic study but can also serve as a useful reference work in your library ... an indispensable addition to my bookshelf ... the explanations and support material will fill in the necessary updating of your mathematics ... The extensive and evolving website back-up makes the book unique and even more valuable. It stays up to date as the field evolves. The book is thus perfect for self-instruction, or for use as a classroom textbook, and of course, as a reference work for workers in any field of science. Nonlinear Dynamics in Psychology and Life Sciences

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Most Helpful Customer Reviews
2 of 2 people found the following review helpful
overall good Book 3 Oct 2010
Format:Paperback
Excellent Introduction to non-linear analysis, but would have liked more than one chapter on non-linear time series. Otherwise good book.
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Amazon.com:  3 reviews
31 of 31 people found the following review helpful
Best book on chaos/complexity theory & data analysis 26 May 2003
By Frederick D. Abraham - Published on Amazon.com
Format:Paperback
For those wishing to upgrade their grasp of chaos theory, dynamics, nonlinear data analysis, with an introduction to related aspects of complexity including fractals and complex systems, this is the best book I have yet seen, and supplements the excellet visual dynamics books by Ralph Abraham. It arose from the upper level course taught by Sprott at the University of Wisconsin. The book is well supported by his website, which will always keep the book updated. It is nicely hands-on with lots of exercises and a programming project with each chapter. For those impatient to write programs, having a program like Berkeley Madonna to solve systems equations is handy for exploring some of the example systems. It has three excellent appendices, one a catalog of 62 dynamical systems, another useful mathematical formulas, and the last a compilation of useful journals. I found it incredibly comprehensive covering all aspects of the many subjects. And exceptionally clear, updating any necessary mathematics with clear explanations...
10 of 12 people found the following review helpful
Clear and comprehensive 19 Jan 2004
By Keith L. Warren - Published on Amazon.com
Format:Paperback
I had heard about this book from a friend with an interest in nonlinear dynamics; this is surprising in itself, since the book has been out for less than a year and already seems to be getting a positive reputation. The book more than lived up to my friend's recommendation. It is encyclopedic and remarkably clear. For anyone who is interested in linking nonlinear dynamical theory with empirical methodology, this is the best place that I know of to start.
2 of 2 people found the following review helpful
Clear, comprehensive and engaging 20 Mar 2008
By Mark C. Andersen - Published on Amazon.com
Format:Paperback
This book covers a lot of material on chaos and fractals briefly but in detail. The writing is very clear and engaging; the mathematics is presented clearly. This book is especially notable for its clear descriptions of the algorithms used to do the analyses described, and for its accessible coverage of methods for analyzing data (rather than equations) from complex systems. It would be particularly useful for ecologists (and possibly economists) with long-term data sets to analyze.
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