Jump to ratings and reviews
Rate this book

The Art of Modeling Dynamic Systems: Forecasting for Chaos, Randomness and Determinism

Rate this book
This text illustrates the roles of statistical methods, coordinate transformations, and mathematical analysis in mapping complex, unpredictable dynamical systems. It describes the benefits and limitations of the available modeling tools, showing engineers and scientists how any system can be rendered simpler and more predictable.
Written by a well-known authority in the field, this volume employs practical examples and analogies to make models more meaningful. The more universal methods appear in considerable detail, and advanced dynamic principles feature easy-to-understand examples. The text draws careful distinctions between mathematical abstractions and observable realities. Additional topics include the role of pure mathematics, the limitations of numerical methods, forecasting in the presence of chaos and randomness, and dynamics without calculus. Specialized techniques and case histories are coordinated with a carefully selected and annotated bibliography. The original edition was a Library of Science Main Selection in May, 1991. This new Dover edition features corrections by the author and a new Preface.

414 pages, Paperback

First published January 16, 1991

4 people are currently reading
58 people want to read

About the author

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
7 (30%)
4 stars
10 (43%)
3 stars
5 (21%)
2 stars
1 (4%)
1 star
0 (0%)
Displaying 1 of 1 review
46 reviews1 follower
July 31, 2011
Not significantly different to the original edition - a few references are added. If you do any mathematical modeling of systems get a copy.
Displaying 1 of 1 review

Can't find what you're looking for?

Get help and learn more about the design.