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Cambridge Studies in Mathematical Biology Ser.: Mathematical Methods of Population Biology by Frank C. Hoppensteadt (1982, Trade Paperback)
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-10052128256X
ISBN-139780521282567
eBay Product ID (ePID)20038769624
Product Key Features
Number of Pages160 Pages
Publication NameMathematical Methods of Population Biology
LanguageEnglish
SubjectStatistics, Applied
Publication Year1982
TypeTextbook
Subject AreaMathematics, Social Science
AuthorFrank C. Hoppensteadt
SeriesCambridge Studies in Mathematical Biology Ser.
FormatTrade Paperback
Dimensions
Item Height0.4 in
Item Weight7.4 Oz
Item Length8.5 in
Item Width5.5 in
Additional Product Features
Intended AudienceCollege Audience
LCCN81-009977
Reviews"What makes for a good mathematics textbook? Challenging, didactic exercises with hints and solutions are a sine qua non: without them you might have a good monograph, but not a good text. Score several points for Hoppensteadt's book, with its meaty exercises...I would recommend the book for a senior or graduate-level course...also valuable as a sourcebook of ideas for applied mathematicians who want to get into this branch of mathematical biology." Mathematical Biosciences
Dewey Edition19
Series Volume NumberSeries Number 4
IllustratedYes
Dewey Decimal574.5/248/0724
Table Of ContentPreface; 1. Population dynamics; 2. Renewal theory and reproduction matrices; 3. Markov chains; 4. Perturbation methods; 5. Dispersal processes; Appendix; Solutions to selected exercises; References; Author index; Subject index.
SynopsisThis introduction to mathematical methods that are useful for studying population phenomena is intended for advanced undergraduate and graduate students, and will be accessible to scientists who do not have a strong mathematics background. The material is graded in mathematical difficulty. The earlier parts of the book involve elementary diference equations while later chapters present topics that require more mathematical preparation. Models of total population and population age structure are first derived and studied, and then models of random population events are presented in terms of Markov chains. The last two chapters deal with mathematical methods used to uncover qualitative behaviour of more complicated difference equations. Each chapter begins with a simple model, usually of some historical interest, that defines the primary goals of the chapter. Exercises, for which solutions are provided, illustrate material in the text and also deal with models more advanced than those derived and studied in the text., This introduction to mathematical methods that are useful for studying population phenomena is intended for advanced undergraduate and graduate students, and will be accessible to scientists who do not have a strong mathematics background. Exercises illustrate material in the text and also deal with models more advanced than those derived and studied in the text.
LC Classification NumberQH352 .H66 1982
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