|Series||Its Symposium, no. 12|
|Contributions||Jeffers, J.N.R. (John Norman Richard)|
|The Physical Object|
|Pagination||vi, 398 p. illus., map. ;|
|Number of Pages||398|
This book gives and discusses many continuous and discrete models from population dynamics, epidemiology, and resource management. A large number and variety of examples, exercises are included. The book is warmly recommended to undergraduate and graduate students as well as to scientists in mathematical or biological sciences.". This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology ; Provides step-by-step recipes for constructing and analyzing models ; Interesting biological applications ; Explores classical models in ecology and Cited by: Mathematical Models for Society and Biology, 2e, draws on current issues to engagingly relate how to use mathematics to gain insight into problems in biology and contemporary society. For this new edition, author Edward Beltrami uses mathematical models that are simple, transparent, and verifiable. A mathematical model is a description of a system using mathematical concepts and process of developing a mathematical model is termed mathematical atical models are used in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in the social sciences (such.
Mathematical modeling in ecology and evolution. 2. Mathematical modeling in physiology. Mathematical Models of Hematopoietic Cell Replication and Control The mathematical level of the book is graded, becoming more ad-vanced in the later chapters. Every chapter requires that . This book is a first step to addressing these difficulties, providing a broad introduction to the key methods and underlying concepts of mathematical models in ecology and evolution. The book is intended to serve the needs of undergraduate and postgraduate ecology and evolution students who need to access the mathematical and statistical Author: Mike Gillman. Mathematical Modeling in Ecology A Workbook for Students. occur. However, this book is devoted entirely to introducing the student to the second approach: to study deterministic mathematical models and, on the basis of mathematical results on the models, to look for the same patterns or relationships in nature. and minimize the. This book is a first step to addressing these difficulties, providing a broad introduction to the key methods and underlying concepts of mathematical models in ecology and evolution. The book is intended to serve the needs of undergraduate and postgraduate ecology and evolution students who need to access the mathematical and statistical Author: Mike Gillman.
Mathematical Models in Population Biology and Epidemiology. Authors (view affiliations) Fred Brauer; and to researchers who must routinely read the practical and theoretical results that come from modeling in ecology and epidemiology. "A strength of the book is the large number of biologically-motivated problem sets. These and the. Historically, mathematical models in ecology have been used largely to provide qualitative explanations for patterns in nature. A classic example of this approach was the effort to use competition models to explain species diversity (Diamond and Case, ). Simple competition models showed that. Population biology: Concepts and models. New York: Springer. E-mail Citation» This is an introductory book that covers common models and concepts in ecology, and acts as an introductory resource for those wishing to begin understanding the use of mathematical models in . Get this from a library! A biologist's guide to mathematical modeling in ecology and evolution. [Sarah P Otto; Troy Day] -- "Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental .