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 very 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 modeling 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 engineering.
By:
Liebovitch Imprint: Oxford University Press Inc Country of Publication: United States Dimensions:
Height: 279mm,
Width: 215mm,
Spine: 14mm
Weight: 671g ISBN:9780195120240 ISBN 10: 0195120248 Pages: 288 Publication Date:01 January 1998 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
Part I. FRACTALS 1: Introduction 2: Self-Similarity 3: Scaling 4: Dimension 5: Statistical Properties 6: Summary Part II. CHAOS 1: Introduction 2: Phase Space 3: Sensitivity to Initial Conditions 4: Bifurcations 5: Analyzing Data 6: Control of Chaos 7: Summary Part III. OTHER METHODS 1: The Big Picture References Illustration Credits Index
Reviews for Fractals and Chaos Simplified for the Life Sciences
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 Journal