Dynamic Models in Biology
Publisher: Princeton University Press
Published: March 27, 2006
Language: eng
Format: Hardcover
Number of pages: 352
ISBN-13: 9780691118437
Subjects: Biology, Life Sciences; Life Sciences - Biology - General; Science; Science/Mathematics; Applied; Biological Sciences; Mathematics; Science / Biology; Data Modeling & Design; Biology; Mathematical models
Description: From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians.