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Citation - WoS: 33
Citation - Scopus: 34
Iterative Approximation of Fixed Points for Presic Type f-contraction Operators
(Univ Politehnica Bucharest, Sci Bull, 2016) Abbas, M.; Karapınar, Erdal; Berzig, M.; Nazir, T.; Karapinar, E.; Karapınar, Erdal; Mathematics; Mathematics; Mathematics
We study the convergence of the Presic type k-step iterative process for a class of operators f : X-k -> X satisfying Presic type F-contractive condition in the setting of metric spaces. As an applications of the result presented herein, we derive global attractivity results for a class of matrix difference equations. Numerical experiments are also presented to illustrate the theoretical findings.
Comment On: "dynamical Analysis of Cohen-Grossberg Neural Networks With Distributed Delays" [phys. Lett. a 364 (2007) 38]
(Elsevier Science Bv, 2008) Singh, Vimal; Sıngh, Vımal; Sıngh, Vımal; Department of Mechatronics Engineering; Department of Mechatronics Engineering
It is pointed out that an unnatural assumption is made in the following Letter [Z. Mao, H. Zhao, Phys. Lett. A 364 (1) (2007) 38). Therefore, the results of the Letter are not relevant to the real Cohen-Grossberg neural network model. (C) 2008 Elsevier B.V. All rights reserved.