Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
393907 | Information Sciences | 2013 | 20 Pages |
Abstract
In this paper, an iterative numerical method that solves nonlinear fuzzy Hammerstein–Volterra integral equations with constant delay is developed. By using the error estimates, a practical stopping criterion of the algorithm is obtained. The convergence and the numerical stability of the method is proved and its accuracy is illustrated on three numerical examples. The study of this integral equation is important because it has as a particular case the fuzzy variant of a mathematical model from epidemiology.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Alexandru Mihai Bica, Constantin Popescu,