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 language | English |
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Pages (from-to) | 69-93 |
Number of pages | 25 |
Journal | Applied Mathematics and Computation |
Volume | 87 |
Issue number | 1 |
DOIs | |
Publication status | Published - 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