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 journalArticlepeer-review

24 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

Bibliographical note

Funding Information:
The authors were supported in part by a post doctoral fellowship from Universit'a di Trento (M.-Y. K.) and by G.N.A.F.A. of C.N.R. Italy (E.-J. P.).

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics

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