Fractals and Chaos Simplified for the Life Sciences

Fractals and Chaos Simplified for the Life Sciences

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Fractals and chaos are currently generating excitement across various scientific and medical disciplines. Biomedical investigators, graduate students, and undergraduates are becoming increasingly interested in applying fractals and chaos (nonlinear dynamics) to a variety of problems in biology and medicine. This accessible text lucidly explains these concepts and illustrates their uses with examples from biomedical research. The author presents the material in a unique, straightforward manner which avoids technical jargon and does not assume a strong background in mathematics. The text uses a step-by-step approach by explaining one concept at a time in a set of facing pages, with text on the left page and graphics on the right page; the graphics pages can be copied directly onto transparencies for teaching. Ideal for courses in biostatistics, fractals, mathematical modelling of biological systems, and related courses in medicine, biology, and applied mathematics, Fractals and Chaos Simplified for the Life Sciences will also serve as a useful resource for scientists in biomedicine, physics, chemistry, and more

Product details

  • Paperback | 288 pages
  • 216.2 x 279.7 x 14.5mm | 726.57g
  • Oxford University Press Inc
  • New York, United States
  • English
  • line figures throughout
  • 0195120248
  • 9780195120240

Table of contents

Part I Fractals ; 1. Introduction ; 2. Self-Similarity ; 3. Scaling ; 4. Dimension ; 5. Statistical Properties ; 6. Summary ; Part II Chaos ; 1. Introduction ; 3. Sensitivity to Initial Conditions ; 4. Bifurcations ; 5. Analyzing Data ; 6. Control of Chaos ; 7. Summary ; Part III Other Methods ; 1. The Big Pictureshow more

Review quote

The book is very well produced, with excellent diagrams and very informative notes provided beside the main text. It also provides an extensive list of references for further reading. Scottish Mathematical Council Journalshow more

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6 ratings
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5 50% (3)
4 17% (1)
3 17% (1)
2 17% (1)
1 0% (0)
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