Fractals and Chaos Simplified for the Life Sciences by Larry S. LiebovitchFractals and Chaos Simplified for the Life Sciences by Larry S. Liebovitch

Fractals and Chaos Simplified for the Life Sciences

byLarry S. Liebovitch

Paperback | December 1, 1997

Pricing and Purchase Info

$46.25 online 
$92.50 list price save 50%
Earn 231 plum® points

Prices and offers may vary in store


Ships within 1-3 weeks

Ships free on orders over $25

Not available in stores


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 biologyand 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. Thetext 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 modelingof 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.
Larry S. Liebovitch is at Center for Complex Systems, Florida Atlantic University.
Title:Fractals and Chaos Simplified for the Life SciencesFormat:PaperbackDimensions:288 pages, 10.91 × 8.39 × 0.51 inPublished:December 1, 1997Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0195120248

ISBN - 13:9780195120240

Look for similar items by category:


Table of Contents

Part I. FRACTALS1. Introduction2. Self-Similarity3. Scaling4. Dimension5. Statistical Properties6. SummaryPart II. CHAOS1. Introduction2. Phase Space3. Sensitivity to Initial Conditions4. Bifurcations5. Analyzing Data6. Control of Chaos7. SummaryPart III. OTHER METHODS1. The Big PictureReferencesIllustration CreditsIndex

Editorial Reviews

"Excellent programmed text on chaos. Clearer than most other sources I've seen. Good biological examples."--David Katerndahl, MD, University of Texas HSC-San Antonio