Mathematical modeling for the life sciences /

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Bibliographic Details
Author / Creator:Istas, Jacques, 1966-
Uniform title:Introduction aux modelisations mathematiques pour les sciences du vivant. English
Imprint:Berlin : Springer, c2005.
Description:1 online resource (vi, 164 p.) : ill.
Language:English
Series:Universitext
Universitext.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8875535
Hidden Bibliographic Details
ISBN:9783540278771
354027877X
9783540253051
354025305X
661132996X
9786611329969
Notes:Textbook for graduates.
Includes bibliographical references (p. [157]-160) and index.
Translated from the French.
Description based on print version record.
Summary:"Proposing a wide range of mathematical models that are currently used in life sciences may be regarded as a challenge, and that is precisely the challenge that this book takes up. Of course this panoramic study does not claim to offer a detailed and exhaustive view of the many interactions between mathematical models and life sciences. This textbook provides a general overview of realistic mathematical models in life sciences, considering both deterministic and stochastic models and covering dynamical systems, game theory, stochastic processes and statistical methods. Each mathematical model is explained and illustrated individually with an appropriate biological example. Finally three appendices on ordinary differential equations, evolution equations, and probability are added to make it possible to read this book independently of other literature."--Jacket.
Other form:Print version: Istas, Jacques, 1966- Introduction aux modelisations mathematiques pour les sciences du vivant. English. Mathematical modeling for the life sciences. Berlin : Springer, c2005 354025305X 9783540253051
Review by Choice Review

The use of mathematics in the biological sciences has been impeded by biologists' lack of mathematics and mathematicians' lack of biology. In this short book, Istas (Universite Pierre Mendes-France, Grenoble) tries to bridge this gap by showing how some fairly standard mathematics may help in a variety of biological areas. He starts with population biology, where some models have been used for years and practitioners are comfortable with them. But the introduction of diffusion leads to more modern models that will be unfamiliar to many biologists. Istas quickly moves to discrete dynamical systems, game theory, Markov chains, branching processes, and statistics. For each mathematical topic, he includes several biological models exemplifying the mathematical technique; e.g., under Markov chains he considers genetic drift and domestication of pearl millet. The book reads like a set of lecture notes; the intended audience is clearly mathematically sophisticated. There is too much assumed mathematics for it to be useful to mathematically naive biologists. Many results are derived quickly and cryptically from general theorems not well explained; the brief statement of these theorems in the appendix will leave biologists at sea. One hopes that in the future, mathematics will be used more widely in biology. ^BSumming Up: Optional. Upper-division undergraduates through faculty. P. Cull Oregon State University

Copyright American Library Association, used with permission.
Review by Choice Review