Mathematical models in biology
Series: Classics in Applied Mathematics ; 46Publication details: Philadelphia: Society for Industrial and Applied Mathematics (SIAM), 2005.Description: xliii, 586p.: ill.; pbk.: 23cmISBN:- 9780898715545
- 570.15118 EDE
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IIT Gandhinagar | General | 570.15118 EDE (Browse shelf(Opens below)) | 1 | Available | 034438 |
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| 570.113 HEI High performance computing for drug discovery and biomedicine | 570.113 VOI Systems biology: a very short introduction | 570.151 STE Mathematics of life | 570.15118 EDE Mathematical models in biology | 570.15118 MUR Mathematical biology I: an introduction | 570.15118 VRI Course in mathematical biology: quantitative modeling with mathematical and computational methods | 570.151262 LOU More than life itself: a synthetic continuation in relational biology |
Includes Index
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, it 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 publication of Mathematical Models in Biology, the genomics revolution turned Mathematical Biology into a prominent area of interdisciplinary research. With 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.
https://epubs.siam.org/doi/book/10.1137/1.9780898719147
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