
Mathematics for the Life Sciences
Kurzinformation



inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
¿ ¿¿ Mathematics for the Life Sciences provides present and future biologists with the mathematical concepts and tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics in biological contexts, focusing on the central mathematical ideas, and providing detailed explanations. The author assumes no mathematics background beyond algebra and precalculus. Calculus is presented as a one-chapter primer that is suitable for readers who have not studied the subject before, as well as readers who have taken a calculus course and need a review. This primer is followed by a novel chapter on mathematical modeling that begins with discussions of biological data and the basic principles of modeling. The remainder of the chapter introduces the reader to topics in mechanistic modeling (deriving models from biological assumptions) and empirical modeling (using data to parameterize and select models). The modeling chapter contains a thorough treatment of key ideas and techniques that are often neglected in mathematics books. It also provides the reader with a sophisticated viewpoint and the essential background needed to make full use of the remainder of the book, which includes two chapters on probability and its applications to inferential statistics and three chapters on discrete and continuous dynamical systems. The biological content of the book is self-contained and includes many basic biology topics such as the genetic code, Mendelian genetics, population dynamics, predator-prey relationships, epidemiology, and immunology. The large number of problem sets include some drill problems along with a large number of case studies. The latter are divided into step-by-step problems and sorted into the appropriate section, allowing readers to gradually develop complete investigations from understanding the biological assumptions to a complete analysis. von Ledder, Glenn
Produktdetails

So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
Glenn Ledder is an Associate Professor of Mathematics at the University of Nebraska.
- Hardcover
- 284 Seiten
- Erschienen 1976
- Springer
- hardcover
- 980 Seiten
- Erschienen 2022
- Springer
- paperback
- 400 Seiten
- Erschienen 2012
- Oxford University Press
- Hardcover
- 464 Seiten
- Erschienen 2020
- John Wiley & Sons Inc
- hardcover
- 464 Seiten
- Erschienen 2022
- Wiley
- Kartoniert -
- Erschienen 1970
- Cambridge University Press
- Gebunden
- 439 Seiten
- Erschienen 2014
- Springer Spektrum
- Kartoniert
- 896 Seiten
- Erschienen 2013
- Pearson Studium
- Gebunden
- 452 Seiten
- Erschienen 2013
- Springer