Abstract
If Pythagoras’ view of the world is convincing—and in today’s world everything seems to be convincing evidence of his views—the ultimate task of any description of our world must be the production of significant numbers. However, even though on the one hand numbers come from measurements, as we have seen in the first chapter, on the other hand our mathematical description in Chap. 2 employs abstract objects that are closer to a Platonic conception of the universe rather than to a Pythagorean one.
…we are told that the numbers are not separable from the things, but that existing things, even perceptible substances, are made up of numbers; that the substance of all things is number, that things are numbers …
Sir Thomas Heath, A History of Greek Mathematics,
Ch. III: Pythagorean Arithmetic
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Note that here the meaning of the notation D is different from that in the definition (3.2), where it denotes the directional derivative.
References
Breda, D., Cusulin, C., Iannelli, M., Maset, S., Vermiglio, R.: Stability analysis of age-structured population equations by pseudospectral differencing methods. J. Math. Biol. 54, 701–720 (2007)
Breda, D., Iannelli, M., Maset, S., Vermiglio, R.: Stability analysis of the Gurtin–MacCamy model. SIAM J. Numer. Anal. 46, 980–995 (2008)
Breda, D., Maset, S., Vermiglio, R.: Stability of Linear Delay Equations, a Numerical Approach with MATLAB. Springer Briefs in Electrical and Computer Engineering. Springer, New York-Heidelberg-Dordrecht-London (2015)
de Roos, A.M.: Numerical methods for structured population models: the escalator boxcar train. Numer. Methods Partial Differ. Equ. 4, 173–195 (1988)
Douglas Jr. J., Milner, F.A.: Numerical methods for a model of population dynamics. Calcolo 24, 247–254 (1987)
Iannelli, M., Milner, F.A.: On the approximation of Lotka–McKendrick equation with finite life span. J. Appl. Math. Comput. 136, 245–254 (2001)
Iannelli M., Kostova, T., Milner F.A.: A fourth-order method for numerical integration of age- and size-structured population models. Numer. Methods Partial Differ. Equ. AAA, 918–930 (2008)
Lopez, L., Trigiante, D.: A hybrid scheme for solving a model of population dynamics. Calcolo 19, 379–395 (1982)
Lopez, L., Trigiante, D.: Some numerical problems arising in the discretization of population dynamic models. In: Biomathematics and Related Computational Problems, pp. 505–522. Kluwer Academic Publishers, Dordrecht (1988)
Milner, F.A., Rabbiolo, G.: Rapidly converging numerical methods for models of population dynamics. J. Math. Biol. 30, 733–753 (1992)
Pelovska, G., Iannelli M.: Numerical methods for the Lotka–McKendrick’s equation. J. Comput. Appl. Math. 197, 534–557 (2006)
Sulsky D.: Numerical solution of age-structured population models, I: age-structure. J. Math. Biol. 31, 817–839 (1993)
Sulsky D.: Numerical solution of age-structured population models, II: mass-structure. J. Math. Biol. 32, 491–514 (1994)
USCB (United States Census Bureau), Sex by Age [209], Universe: Total Population, Census 2000 Summary File 1 (SF 1) 100-Percent Data, retrieved on March 15, 2017 from https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Iannelli, M., Milner, F. (2017). Numerical Methods for the Linear Model. In: The Basic Approach to Age-Structured Population Dynamics. Lecture Notes on Mathematical Modelling in the Life Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1146-1_3
Download citation
DOI: https://doi.org/10.1007/978-94-024-1146-1_3
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-024-1145-4
Online ISBN: 978-94-024-1146-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)