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Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1) |  | Author: James D. Murray
Publisher: Springer
List Price: $64.95
Buy New: $35.97
as of 11/22/2009 01:37 CST details
You Save: $28.98 (45%)
New (35) Used (17) from $31.99
Rating:  5 reviews
Sales Rank: 227156
Media: Hardcover
Edition: 3rd
Pages: 551
Number Of Items: 1
Shipping Weight (lbs): 2
Dimensions (in): 9.2 x 6.3 x 1.2
ISBN: 0387952233
Dewey Decimal Number: 570.15118
EAN: 9780387952239
ASIN: 0387952233
Publication Date: December 8, 2007
Availability: Usually ships in 1-2 business days
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| Editorial Reviews:
Product Description
It has been over a decade since the release of the now classic original edition of Murray's Mathematical Biology. Since then mathematical biology has grown at an astonishing rate and is well established as a distinct discipline. Mathematical modeling is now being applied in every major discipline in the biomedical sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems that arise in biology and gives some indication of the wide spectrum of questions that modeling can address. Due to the tremendous development in the field this book is being published in two volumes. This first volume is an introduction to the field, the mathematics mainly involves ordinary differential equations that are suitable for undergraduate and graduate courses at different levels. For this new edition Murray is covering certain items in depth, giving new applications such as modeling marital interactions and temperature dependence sex determination.
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| Customer Reviews:
Mathematical Biology I September 22, 2007
N. Foster
0 out of 4 found this review helpful
This product was in fabulous condition and was shipped quickly--I recommend the company to all.
Excellent book on the subject February 19, 2001
Dr. Lee D. Carlson (Baltimore, Maryland USA)
14 out of 15 found this review helpful
A few decades ago mathematical biology consisted mostly of evolutionary and predator-prey models. This has changed dramatically in recent years with the advent of computational biology and gene sequencing projects. The applications of mathematics to biology are now exploding and this book is an excellent example of that. The book could best be described as the application of nonlinear dynamical systems and reaction-diffusion partial differential equations to biology structures and processes. Readers with background in these areas of mathematics will find their ideas applied beautifully in this book. The best sections of the book for me were the discussions of synchronized insect emergence, models of testosterone secretion control, insect dispersal models, calcium waves on amphibian eggs, mammalian coat patterns, models of hallucination patterns in the brain, and modeling the transmission dynamics of HIV. Numerous exercises end each chapter, and the mathematical algorithms can easily be coded in Mathematica or some other high level language. This is a fine addition to the literature on mathematical biology and for the price it is a real bargain.
Very interesting, worth your money November 10, 1999
Jeffrey Anderson (Kanawha, IA)
3 out of 6 found this review helpful
I thoroughly enjoyed this book. Although a tough read, it is well worth your time and effort. The sections on spots and stripe formation are excellent and quite interesting. An excellent book!
excellent resource January 21, 1999
2 out of 11 found this review helpful
An introduction to linear algebra and differential equations is helpful
A brilliant text about the maths of life systems April 6, 1998
4 out of 6 found this review helpful
This text is simply an outstanding experince, not only for life science related issues, but relevant also for chemistry, physics, mathematics, and social sciences. The presentation secuence of the models and their level of presentation as well as their relevance is impressing. I recomend the experience to every curious mind, interested in the procesess that rule nature as described by mathematics. The price-quality relation is best.
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