An iterative method and its application to stable inversion
Loading...
Date
Authors
Gürsoy, Faik
Eksteen, Johannes Jacobus Arnoldi
Khan, Abdul Rahim
Karakaya, Vatan
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
In this paper, we study convergence and data dependence of SP and normal-S iterative methods for the class of almost contraction mappings under some mild conditions. The validity of these theoretical results is confirmed with numerical examples. It has been observed that a special case of SP iterative method, namely normal-S iterative method, performs better and so the latter is implemented in the stable inversion of nonlinear discrete time dynamical systems to yield convergence results when Picard iterative method diverges. This is also illustrated with a numerical example. Our work extends and improves upon many results existing in the literature.
Description
Keywords
Convergence, Data dependency, Iterative method, Rate of convergence, Stable inversion
Sustainable Development Goals
Citation
Gürsoy, F., Eksteen, J.J.A., Khan, A.R. et al. An iterative method and its application to stable inversion. Soft Computing (2019) 23: 7393-7406. https://doi.org/10.1007/s00500-018-3384-6.