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Mathematical Biology II

Mathematical Biology IIAuthor: J.D. Murray
Publisher: Springer

List Price: $89.95
Buy New: $67.73
as of 11/23/2009 23:43 CST details
You Save: $22.22 (25%)



New (21) Used (14) from $42.99

Seller: fantastic_shopping
Rating: 4.5 out of 5 stars 2 reviews
Sales Rank: 237999

Media: Hardcover
Edition: 3rd
Pages: 736
Number Of Items: 1
Shipping Weight (lbs): 2.9
Dimensions (in): 9.3 x 6.5 x 1.7

ISBN: 0387952284
Dewey Decimal Number: 570.15118
EAN: 9780387952284
ASIN: 0387952284

Publication Date: July 7, 2008
Availability: Usually ships in 1-2 business days

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Editorial Reviews:

Product Description
In the ten years since the first edition of this book appeared the field of mathematical biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modelling 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 modelling can address. Due to this tremendous development in recent years, for this new edition Murray is covering certain items in depth, giving new applications such as modelling marital interaction, growth of cancer tumours, temperature sex determination, wolf territoriality, wolf-deer survival etc. In other areas he discusses basic modelling concepts and provides further references as needed. He also provides even closer links between models and experimental data throughout the text. The book continues to present a broad view of the field of theoretical and mathematical biology and gives us an excellent background from which to begin geniune interdisciplinary research in the biomedical sciences.


Customer Reviews:
5 out of 5 stars Difficult but very good   February 19, 2008
K. J. Broekema (Roosendaal Netherlands)
2 out of 2 found this review helpful

I bought part I a few years ago. I am an economist interested in using examples from biology to explain and model commercial markets, more as a hobby than as a professional. I recently worked on Lotka-Volterra predator prey models and competitive models (a grey squirrel competing a brown squirrel out of business). I hope to find patterns in time series that are similar to patterns in economic time series. Book I covers this but most of the subject is in book II. With help of the Mathematica package I played with the examples in the book and it worked fine. It is a high level mathematical book and although the approach is pragmatic and well written, this book is primarily written for specialized mathematicians which I am not. However I like these two books very much just because of the mathematical depth. Normally the author decides how deep I will dig into matters, here I can decide myself.


4 out of 5 stars New edition - old book split into two   April 28, 2003
19 out of 19 found this review helpful

Many reviews here are about the old edition of Mathematical Biology (the softcover one volume, 2nd ed). Recently J.D. Murray split the second edition in two hardcover volumes. Volume 1 discusses mainly models that use Ordinary Differential Equation, while slightly more complicated Math is required for Volume 2. These new books have added topics (modelling of marital interaction, temperature-dependent sex determination, wolf territoriality, etc). While sometimes the model is still very simple and in its inital stages (e.g. marital interaction model), the books show how much biology and applied mathematics intersect, and they make very interesting read.
There is a certain lack of analysis of the nonlinear cases, so for those who need examples of amplitude equations, different ways of perturbing a linear model, these books are not so good. These books might be too complicated for a bio person with not much mathematical background, but it is very accessible to those with some math background, and are certainly easy for Math or Physics people who want to know more applications to biology.





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