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Numerical Methods for the Linear Model

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The Basic Approach to Age-Structured Population Dynamics

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

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Notes

  1. 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

  1. 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)

    Article  MathSciNet  MATH  Google Scholar 

  2. Breda, D., Iannelli, M., Maset, S., Vermiglio, R.: Stability analysis of the Gurtin–MacCamy model. SIAM J. Numer. Anal. 46, 980–995 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  3. 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)

    MATH  Google Scholar 

  4. de Roos, A.M.: Numerical methods for structured population models: the escalator boxcar train. Numer. Methods Partial Differ. Equ. 4, 173–195 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  5. Douglas Jr. J., Milner, F.A.: Numerical methods for a model of population dynamics. Calcolo 24, 247–254 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  6. Iannelli, M., Milner, F.A.: On the approximation of Lotka–McKendrick equation with finite life span. J. Appl. Math. Comput. 136, 245–254 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  7. 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)

    Google Scholar 

  8. Lopez, L., Trigiante, D.: A hybrid scheme for solving a model of population dynamics. Calcolo 19, 379–395 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  9. 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)

    Google Scholar 

  10. Milner, F.A., Rabbiolo, G.: Rapidly converging numerical methods for models of population dynamics. J. Math. Biol. 30, 733–753 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  11. Pelovska, G., Iannelli M.: Numerical methods for the Lotka–McKendrick’s equation. J. Comput. Appl. Math. 197, 534–557 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  12. Sulsky D.: Numerical solution of age-structured population models, I: age-structure. J. Math. Biol. 31, 817–839 (1993)

    MathSciNet  MATH  Google Scholar 

  13. Sulsky D.: Numerical solution of age-structured population models, II: mass-structure. J. Math. Biol. 32, 491–514 (1994)

    MathSciNet  MATH  Google Scholar 

  14. 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

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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

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