Theoretical Models in Biology: The Origin of Life, the Immune System, and the Brain (Oxford Science Publications) [Paperback]

Glenn Rowe (Author)

Book Description

Publication Date: January 8, 1998 | ISBN-10: 0198596871 | ISBN-13: 978-0198596875

This book surveys the state of the art in theoretical and computer modeling for biological sciences. Using both mathematical and stochastic computer models of biological systems, the author focuses in particular on three central topics: the origin of life, the immune system, and memory in the brain. Throughout the book, the author emphasizes how the power of modern computers is allowing researchers in theoretical biology to break free of the constraints on modeling that were imposed by the traditional differential equation approach. Unique in its emphasis on modeling and computer simulation, Theoretical Models in Biology: The Origin of Life, the Immune System, and the Brain will be welcomed by students and researchers of mathematical biology.

Editorial Reviews

Review

`Anyone who is interested in the theoretical models of complicated living systems should have this in his or her library.' Bulletin of Mathematical Biology

About the Author

Dr G. W. Rowe, Department of Mathematics and Computer Science, University of Dundee, Dundee, DD1 4HN

Product Details

• Paperback: 440 pages
• Publisher: Oxford University Press, USA (January 8, 1998)
• Language: English
• ISBN-10: 0198596871
• ISBN-13: 978-0198596875
• Product Dimensions: 6.2 x 6 x 1 inches
• Shipping Weight: 1.4 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #5,309,024 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

5.0 out of 5 stars Excellent!, September 22, 2000

By 

Daniel Dvorkin (Denver, CO) - See all my reviews
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This review is from: Theoretical Models in Biology: The Origin of Life, the Immune System, and the Brain (Oxford Science Publications) (Paperback)

Rowe is one of the best computer science writers today and this book is in keeping with his usually high standards. He draws together the worlds of computer science, biology, and mathematics to present clearly understandable and meaningful models. Any reader with a reasonable background in these fields (decent college freshman courses in programming, calculus, and general biology should suffice, though I'd say that as far as the math goes, some exposure to differential equations would be very helpful) will be able to understand and learn from this material...