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Mathematical Models in Biology (Classics in Applied Mathematics)
Leah Edelstein-Keshet

SIAM: Society for Industrial and Applied Mathematics, 2005 - 586 pages

average customer review:based on 6 reviews
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   highly recommended  highly recommended



Excellent

The book is very easy to read and appropriate for undergraduate and postgraduate level, whether it be review or introduction to a particular topic. The biology and how it relates to the mathematics is clearly explained. Overall I would highly recommend this book to students entering the biomathematics arena or who simply have an interest in this area.


An excellent book for teaching

This is an excellent book for teaching. However due to the rapid progress in the field I hope that the auther will consider a new and enlarged version of the book. Also a paperback edition will be helpful especially for thos in third world countries.
I thank the auther for this book.


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Classic textbook, with some flaws

A classic textbook in mathematical biology, and still one of the best I know. It is a testament to the quality of this book that many other textbooks that have been published after it essentially follow the template of this book.

No other book does a better job at explaining clearly and concisely the biological background. The tone is precise and approachable without being aloof.

There are two flaws about this book: One is the mathematical exposition, which is sometimes simply wrong. (The whole section about the Hopf bifurcation is very poor, and I couldn't use this section in classes I taught. It has to be supplemented by other textbooks.) The other, related, flaw is the flood of typos. This is the text with the most typos I've ever seen. (The latest errata list has 16 pages, and there are still many unlisted typos.) And this is the second edition! Normally typos don't bother me too much, but there are so many here that it truly becomes a nuisance.

Overall, though, this is a good textbook. I wish the author would decide to update the text and clean up the typos and some of the math sections.


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math models in biology

This is a nice introductory book on math biology models. It is easy to understand and a necessary reading for those who want to approach more difficult books such as Mathematical Physiology. The exercises presented are useful for active learning of this topic.
Be aware: this book requires prior knowledge of calculus (differential equations, partial derivatives, Taylor series expansion...).


An excellent book

This is one of the best books I have read in Math. biology. I strongly propose that a second updated paperback edition is done so that many students will benefit from it.


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Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. A favorite in the mathematical biology community since its first publication in 1988, the book shows how relatively simple mathematics can be applied to a variety of models to draw interesting conclusions. Connections are made between diverse biological examples linked by common mathematical themes. A variety of discrete and continuous ordinary and partial differential equation models are explored. Although great advances have taken place in many of the topics covered, the simple lessons contained in Mathematical Models in Biology are still important and informative.

Shortly after the first publication of Mathematical Models in Biology, the genomics revolution turned Mathematical Biology into a prominent area of interdisciplinary research. In this new millennium, biologists have discovered that mathematics is not only useful, but indispensable! As a result, there has been much resurgent interest in, and a huge expansion of, the fields collectively called mathematical biology. This book serves as a basic introduction to concepts in deterministic biological modeling.

Mathematical Models in Biology does not assume too much background knowledgeessentially some calculus and high-school algebra. It was originally written with third- and fourth-year undergraduate mathematical-biology majors in mind; however, it was picked up by beginning graduate students as well as a number of researchers in math (and some in biology) who wanted to learn about this field.


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