Authors: | Elizabeth S. Allman , John A. Rhodes |
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Genre: | Non-Fiction , Science , Textbook |
Series: | missing |
Ratings: | ★★★☆☆ |
Publisher: | Cambridge University Press |
Pub Year: | 2003 |
List Price: | 0.00 |
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Summary
Focusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models. Assuming no knowledge of calculus, the development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models. Computer research with MATLAB is incorporated throughout in exercises and more extensive projects to provide readers with actual experience with the mathematical models.
Review
"The exercises throughout this book are excellent. Mathematical Models in Biology: An Introduction presents nontrivial and current topics in mathematical biology for first-and second-year undergraduate majors in mathematics or biology. With its brisk writing style, clear handling of the mathematics and the biology, and thorough exercises, this text is positioned to meet the needs of mathematics students interested in biology as well as biology students who need to see the serious role of mathematics in their chosen area of study." James V. Rauff, Millikin University, Mathematics and Computer Education
"Highly recommended." CHOICE
"This remarkable book is one of the best introductory threatments that I have seen, and it is an ideal text for a beginning undergraduate course in mathematical biology."
The Mathematical Association of America, Gerald B. Folland
Book Description
This introductory textbook focuses on discrete models across a variety of biological subdisciplines, including linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models. The book is suitable for students at a calculus level, but assumes no calculus. Self-contained development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models. Computer investigations with MATLAB are incorporated throughout, in both exercises and more extensive projects, to give readers hands-on experience with the mathematical models developed.