
Mathematical Methods in Biology, 1st Edition
$152.00
- Paperback
436 pages
- Release Date
30 July 2009
Summary
A one-of-a-kind guide to using deterministic and probabilistic methods for solving problems in the biological sciences
Highlighting the growing relevance of quantitative techniques in scientific research, Mathematical Methods in Biology provides an accessible presentation of the broad range of important mathematical methods for solving problems in the biological sciences. The book reveals the growing connections between mathematics and biology through clear explanations and specific, inte…
Book Details
| ISBN-13: | 9780470525876 |
|---|---|
| ISBN-10: | 0470525878 |
| Author: | J. David Logan, William Wolesensky |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Paperback |
| Number of Pages: | 436 |
| Edition: | 1st |
| Release Date: | 30 July 2009 |
| Weight: | 617g |
| Dimensions: | 23mm x 158mm x 234mm |
| Series: | Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts |

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Critics Review
“Admirably, the volume is written with bits of MATLAB code inserted at appropriate places and has exercises interspersed throughout the text (as well as hints for solutions to the exercises at the end of the book).” The Quarterly Review of Biology, June 2010)
“The mathematical and reasoning sophistication increases as the chapters proceed.” (Book News, December 2009)
J. David Logan
J. David Logan, PhD, is Willa Cather Professor of Mathematics at the University of NebraskaLincoln. He has written more than eighty research articles in his areas of research interest, which include mathematical physics, combustion and detonation, hydrogeology, and mathematical biology. Dr. Logan is the author of Applied Mathematics, Third Edition and An Introduction to Nonlinear Partial Differential Equations, Second Edition, both published by Wiley. William R. Wolesensky, PhD, is Associate Professor in the Department of Mathematics at Doane College. Dr. Wolesensky has written numerous journal articles on the use of mathematical modeling techniques in scientific research.
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