# The Basic Approach to Age-Structured Population Dynamics

## Models, Methods and Numerics

Part of the Lecture Notes on Mathematical Modelling in the Life Sciences book series (LMML)

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Part of the Lecture Notes on Mathematical Modelling in the Life Sciences book series (LMML)

This book provides an introduction to age-structured population modeling which emphasises the connection between mathematical theory and underlying biological assumptions.

*The Basic Approach to Age-Structured Population Dynamics* will appeal to graduate students and researchers in mathematical biology, epidemiology and demography who are interested in the systematic presentation of relevant models and mathematical methods.

Through the rigorous development of the linear theory and the nonlinear theory alongside numerics, the authors explore classical equations that describe the dynamics of certain ecological systems. Modeling aspects are discussed to show how relevant problems in the fields of demography, ecology, and epidemiology can be formulated and treated within the theory. In particular, the book presents extensions of age-structured modelling to the spread of diseases and epidemics while also addressing the issue of regularity of solutions, the asymptotic behaviour of solutions, and numerical approximation. With sections on transmission models, non-autonomous models and global dynamics, this book fills a gap in the literature on theoretical population dynamics.

age structure age profile population population dynamics mathematical models population dynamics age-structured population modeling population growth model mathematical biology demographic modeling epidemiology population growth population ecology math mathematical modeling in biology mathematical population biology mathematical biology population dynamics mathematical models in medicine biomathematics

- DOI https://doi.org/10.1007/978-94-024-1146-1
- Copyright Information Springer Science+Business Media B.V. 2017
- Publisher Name Springer, Dordrecht
- eBook Packages Mathematics and Statistics
- Print ISBN 978-94-024-1145-4
- Online ISBN 978-94-024-1146-1
- Series Print ISSN 2193-4789
- Series Online ISSN 2193-4797
- Buy this book on publisher's site

- Industry Sectors
- Pharma