Mathematical Models in Biology (Classics in Applied Mathematics)
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.
About the Author(s)
Leah Edelstein-Keshet is a member of the Mathematics Department at the University of British Columbia and past president of the Society for Mathematical Biology. She has been involved in research in mathematical biology for over 30 years, most recently as a team leader of a Mathematics of Information Technology and Complex Systems MITACS (Canada) biomedical modeling team.
The very BEST book on the subject, April 26, 1999
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!