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Nonlinear Physics for Beginners: Fractals, Chaos, Solitons, Pattern Formation, Cellular Automata and Complex Systems
 
 
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Nonlinear Physics for Beginners: Fractals, Chaos, Solitons, Pattern Formation, Cellular Automata and Complex Systems [Hardcover]

Lui Lam (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

July 1998 9810201400 978-9810201401
Almost all real systems are nonlinear. For a nonlinear system the superposition principle breaks down: The system's response is not proportional to the stimulus it receives; the whole is more than the sum of its parts. The three parts of this book contains the basics of nonlinear science, with applications in physics. Part I contains an overview of fractals, chaos, solitons, pattern formation, cellular automata and complex systems. In Part II, 14 reviews and essays by pioneers, as well as 10 research articles are reprinted. Part III collects 17 students projects, with computer algorithms for simulation models included. The book can be used for self-study, as a textbook for a one-semester course, or as supplement to other courses in linear of nonlinear systems. The reader should have some knowledge in introductory college physics. No mathematics beyond calculus and no computer literacy are assumed.

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About the Author

Lui Lam, San Jose State Univ.

Product Details

  • Hardcover: 380 pages
  • Publisher: World Scientific Pub Co Inc (July 1998)
  • Language: English
  • ISBN-10: 9810201400
  • ISBN-13: 978-9810201401
  • Product Dimensions: 11.1 x 8.6 x 0.9 inches
  • Shipping Weight: 2.4 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,446,706 in Books (See Top 100 in Books)

 

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5.0 out of 5 stars Excellent book on an always amazing topic., December 4, 2011
This review is from: Nonlinear Physics for Beginners: Fractals, Chaos, Solitons, Pattern Formation, Cellular Automata and Complex Systems (Hardcover)
This is a superb book with many topics that are nicely linked with fully justified deductions. It even shows detail code to create some of the most interesting patterns in Chaos, Fractals and Complex Systems. Highly recommended.
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