TY - BOOK AU - Iannelli,Mimmo AU - Milner,Fabio TI - The Basic Approach to Age-Structured Population Dynamics: Models, Methods and Numerics T2 - Lecture Notes on Mathematical Modelling in the Life Sciences, SN - 9789402411461 AV - QH323.5 U1 - 576.58 23 PY - 2017/// CY - Dordrecht PB - Springer Netherlands, Imprint: Springer KW - Biomathematics KW - Applied mathematics KW - Engineering mathematics KW - Integral equations KW - Partial differential equations KW - Genetics and Population Dynamics KW - Applications of Mathematics KW - Integral Equations KW - Partial Differential Equations N1 - 1 Why Age Structure? An Introduction -- 2 The Basic Linear Theory -- 3 Numerical Methods for the Linear Model -- 4 The Time-Dependent Case -- 5 Nonlinear Models -- 6 Stability of Equilibria -- 7 Numerical Methods for the Nonlinear Model -- 8 Global Behavior -- 9 Class-Age Structure for Epidemics -- 10 Epidemics and Demography -- A The Laplace Transform -- B Integral Equations Theory. References N2 - This book provides an introduction to age-structured population modeling which emphasises the connection between mathematical theory and underlying biological assumptions. 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. 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 UR - https://doi.org/10.1007/978-94-024-1146-1 ER -