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Mathematical Models in Biology (Classics in Applied Mathematics)
 
 
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Mathematical Models in Biology (Classics in Applied Mathematics) [Paperback]

Leah Edelstein-Keshet
4.3 out of 5 stars  See all reviews (3 customer reviews)
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Mathematical Models in Biology (Classics in Applied Mathematics) + Mathematical Biology: I. An Introduction: Pt. 1 (Interdisciplinary Applied Mathematics) + Essential Mathematical Biology (Springer Undergraduate Mathematics Series)
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Product details

  • Paperback: 184 pages
  • Publisher: Society for Industrial and Applied Mathematics; New Ed edition (1 Feb 2005)
  • Language English
  • ISBN-10: 0898715547
  • ISBN-13: 978-0898715545
  • Product Dimensions: 22.8 x 18.4 x 3.2 cm
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 449,080 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Leah Edelstein-Keshet
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Product Description

Product Description

Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. Connections are made between diverse biological examples linked by common mathematical themes, exploring a variety of discrete and continuous ordinary and partial differential equation models. 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.

Book Description

This book is an introduction for readers interested in biological applications of mathematics and modeling in biology, showing how relatively simple mathematics can be applied to a variety of models. Despite the great advances that have taken place, the simple lessons described in the text are still important and informative.

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The early Greeks were fascinated by numbers and believed them to hold special magical properties. Read the first page
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Customer Reviews

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Most Helpful Customer Reviews
3 of 3 people found the following review helpful
By tom57
Format:Paperback
This book is a reprint of the 1988 edition. Nonetheless, it is a great book if you are interested in mathematical modelling in biology. Although it is not uptodate anymore it is a very good and thorough introduction into the topic.
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7 of 8 people found the following review helpful
By A Customer
Format:Hardcover
There are lots of books about mathematical modeling, and many of them cover biological systems. But no book I've ever seen even comes close to the quality of this beautiful work by Edelstein-Keshet. So what is it that makes this book so special? First of all, the book is both accessible and self-contained. Just start at the beginning, and you're guaranteed to learn A LOT of math. Second, the style of writing and the way in which the author presents the material is utterly beautiful. It is impossible NOT to understand, but the material is not at all 'chewed out' for the reader. Third of all, the book really encourages the reader to pick up pen and paper, go out there and MODEL something; dozens of inspiring and high-quality exercises and research projects are to be found throughout the book. Fourth, the various techniques are easily applied to non-biological problems. Fifth, the book will help to gain insight in the qualitative aspects of biological phenomena. What Peter Atkins is to chemistry, Edelstein-Keshet is to mathematical biology. Sadly, she is not as widely known. Get this book while you can!
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Format:Paperback
As a biologist with some decent training in maths (or so I thought) I was looking for an introduction to modelling in biology - models that use some mathematical description, so the book seemed to be the answer. And yes, there are lots of interesting examples from a wide range of biological questions, some with solutions, and there is lots to learn. However, I agree with one other reviewer that not all the details and steps are lined out and that makes it extremely hard for a biologist without additional mathematical training to follow through. E.g. I would consider myself somewhat maths-affine but I needed a two hour tutorial to understand the phase plane examples. Most biologists will probably require a higher-level maths reference telling them what they didn't learn during their studies in order to make use of that book. For biologists it is certainly not a stand-alone introduction.
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