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You searched IISERK - Author: Sloot, Hans van der.
Tag In 1 In 2 Data
001  vtls000022105
003  IISER-K
005  20140514172600.0
006  m e d
007  cr bn |||m|||a
008  120213r20051988paua fob 001 0 eng d
020  \a 9780898719147 (electronic bk.)
020  \z 9780898715545 (print)
020  \z 0898715547 (print)
039 9\a 201405141726 \b VLOAD \y 201202131216 \z Siladitya
08204\a 570.1/5118 \2 22
1001 \a Edelstein-Keshet, Leah.
24510\a Mathematical models in biology \h [electronic resource] / \c Leah Edelstein-Keshet.
260  \a Philadelphia, Pa. : \b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), \c 2005.
300  \a 1 electronic text (xliii, 586 p.) : \b ill., digital file.
4901 \a Classics in applied mathematics ; \v 46
500  \a Originally published: 1st ed. New York : Random House, 1988, in series: The Random House/Birkhàˆuser mathematics series. With new pref. and slight corrections.
504  \a Includes bibliographical references and indexes.
5050 \a The theory of linear difference equations applied to population growth -- Nonlinear difference equations -- Applications of nonlinear difference equations to population biology -- An introduction to continuous models -- Phase-plane methods and qualitative solutions -- Applications of continuous models to population dynamics -- Models for molecular events -- Limit cycles, oscillations, and excitable systems -- An introduction to partial differential equations and diffusion in biological settings -- Partial differential equation models in biology -- Models for development and pattern formation in biological systems.
506  \a Restricted to subscribers or individual electronic text purchasers.
5203 \a 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 this book are still important and informative. Audience: the book does not assume too much background knowledge--essentially some calculus and high-school algebra. It was originally written with third- and fourth-year undergraduate mathematical-biology majors in mind; however, it was picked up by beginning graduate students as well as researchers in math (and some in biology) who wanted to learn about this field.
530  \a Also available in print version.
538  \a Mode of access: World Wide Web.
538  \a System requirements: Adobe Acrobat Reader.
588  \a Description based on title page of print version.
650 0\a Biology \x Mathematical models.
653  \a Mathematical models
653  \a Biology
653  \a Differential equations
653  \a Phase-plane methods
653  \a Population dynamics
653  \a Oscillations
7102 \a Society for Industrial and Applied Mathematics.
77608\i Print version: \z 0898715547 \z 9780898715545 \w (DLC) 2004117719
830 0\a Classics in applied mathematics ; \v 46.
85640\3 SIAM \u http://epubs.siam.org/ebooks/siam/classics_in_applied_mathematics/cl46 \y SIAM

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