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Mathematical Models in Biology (The Random House/Birkhauser mathematics series)

Edelstein-Keshet, Leah

1 ratings by Goodreads
ISBN 10: 0394355075 / ISBN 13: 9780394355078
Published by Random House USA Inc, 1988
Condition: Very Good Hardcover
From The Book Bin (Salem, OR, U.S.A.)

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About this Item

0394355075 586 pages. stated first printing with number line to 1. book cover is rubbed along the edges. dj has light overall rubbing. pages are clean and unmarked. no underlining, hi-lighting or notations. binding is firm. spine is square. First Printing. Jacket Condition: Very Good. Year: 1988. Bookseller Inventory # BBS-073797

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Bibliographic Details

Title: Mathematical Models in Biology (The Random ...

Publisher: Random House USA Inc

Publication Date: 1988

Binding: Hardcover

Book Condition:Very Good

Dust Jacket Condition: Dust Jacket Included

Edition: 1st Edition

About this title

Synopsis:

Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. Connections are made between diverse biological examples linked by common mathematical themes, exploring a variety of discrete and continuous ordinary and partial differential equation models. 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 first publication of Mathematical Models in Biology, the genomics revolution turned Mathematical Biology into a prominent area of interdisciplinary research. In 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.

Book Description:

This book is an introduction for readers interested in biological applications of mathematics and modeling in biology, showing how relatively simple mathematics can be applied to a variety of models. Despite the great advances that have taken place, the simple lessons described in the text are still important and informative.

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