Splitting methods for the numerical approximation of some models of age-structured population dynamics and epidemiology

Mimmo Iannelli, Mi Young Kim, Eun-Jae Park

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Splitting methods for nonlinear models arising from population dynamics and epidemiology are described and analyzed. A backward finite differencing along the characteristic is used for the approximation. It is shown that the schemes are convergent at first-order rate in the maximum norm. The stability of the methods is discussed. Several numerical examples are presented.

Original languageEnglish
Pages (from-to)69-93
Number of pages25
JournalApplied Mathematics and Computation
Volume87
Issue number1
DOIs
Publication statusPublished - 1997 Jan 1

Fingerprint

Age-structured Population
Epidemiology
Population dynamics
Maximum Norm
Splitting Method
Population Dynamics
Numerical Approximation
Nonlinear Model
First-order
Numerical Examples
Approximation
Model

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics

Cite this

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Splitting methods for the numerical approximation of some models of age-structured population dynamics and epidemiology. / Iannelli, Mimmo; Kim, Mi Young; Park, Eun-Jae.

In: Applied Mathematics and Computation, Vol. 87, No. 1, 01.01.1997, p. 69-93.

Research output: Contribution to journalArticle

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