More Details for: Mathematical models in biology

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Mathematical models in biology [electronic resource] /

Leah Edelstein-Keshet.

Book Cover
Main Author: Edelstein-Keshet, Leah.
Published: Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2005.
Series: Classics in applied mathematics ; 46.
Topics: Biology - Mathematical models.
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Physical Description: 1 electronic text (xliii, 586 p.) : ill., digital file.
Includes: Includes bibliographical references and indexes.
ISBN: 9780898719147 (electronic bk.)


System Details: Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Abstract: 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.
Notes: Originally published: 1st ed. New York : Random House, 1988, in series: The Random House/Birkhèauser mathematics series. With new pref. and slight corrections.
Restrictions: Restricted to subscribers or individual electronic text purchasers.
Other Names: Society for Industrial and Applied Mathematics.

More Details for: Mathematical models in biology