Mathematical Models in Population Biology and Epidemiology (Texts in Applied Mathematics)
| Author | : | |
| Rating | : | 4.29 (826 Votes) |
| Asin | : | 1489993983 |
| Format Type | : | paperback |
| Number of Pages | : | 508 Pages |
| Publish Date | : | 2013-07-08 |
| Language | : | English |
DESCRIPTION:
Finally, the chapter on the effects of harvesting on the growth of populations would be an excellent addition to an undergraduate course in mathematical economics. There is some very useful information within this book. The book includes problems, ‘projects, an in-book appendix, and a future on-line appendix. The book is written in the theorem proof style that mathematicians will feel comfortable with. Biological examples are provided if and when they relate to a given equation and the examples are highly idealized…this books format is also reasonable for a survey of applied mathematics because the format facilitates comparison across fields of biology…There is some very useful information within this book.""It is a useful book which gives a good introduction to the modell
This book cited over 1000 times It is easy to understand and I think it is a good start for learning math bio.Comprehensive intro textbook!. modelling in population biology Richard G. Rawlins outstanding text on modelling populations. excellent.
This book, which will include both examples and exercises, is of use to practitioners, graduate students, and scientists working in the field.. The goal of this book is to search for a balance between simple and analyzable models and unsolvable models which are capable of addressing important questions on population biology. Part I focusses on single species simple models including those which have been used to predict the growth of human and animal population in the past. Single population models are, in some sense, the building blocks of more realistic models -- the subject of Part II. Their role is fundamental to the study of ecological and demographic processes including the role of population structure and spatial heterogeneity -- the subject of Part III
Fred Brauer, Department of Mathematics, University of British Columbia, Canada; Carlos Castillo-Chavez, Mathematical, Computational and Modeling Sciences Center, Arizona State University, USA