scholarly journals Hybrid-type iteration scheme for approximating fixed points of Lipschitz α-hemicontractive mappings

2020 ◽  
Keyword(s):  
Fixed Points ◽  
Iteration Scheme ◽  
Hybrid Type ◽  
Hemicontractive Mappings

scholarly journals Strong convergence of the Ishikawa iteration for Lipschitz α-hemicontractive mappings

2015 ◽  
Vol 53 (1) ◽  
pp. 151-161
Author(s):  
Micah Okwuchukwu Osilike ◽  
Anthony Chibuike Onah
Keyword(s):  
Fixed Point ◽  
Strong Convergence ◽  
Fixed Points ◽  
Iteration Scheme ◽  
Iteration Algorithm ◽  
Mann Iteration ◽  
Ishikawa Iteration ◽  
New Class ◽  
Hemicontractive Mappings ◽  
Demicontractive Mappings

Abstract A new class of α-hemicontractive maps T for which the strong convergence of the Ishikawa iteration algorithm to a fixed point of T is assured is introduced and studied. The study is a continuation of a recent study of a new class of α-demicontractive mappings T by L. Mărușter and Ș. Mărușter, Mathematical and Computer Modeling 54 (2011) 2486-2492 in which they proved strong convergence of the Mann iteration scheme to a fixed point of T. Our class of α-hemicontractive maps is more general than the class of α-demicontractive maps. No compactness assumption is imposed on the operator or it’s domain, and no additional requirement is imposed on the set of fixed points.

scholarly journals Ishikawa's iterations of real Lipschitz functions

1992 ◽  
Vol 46 (1) ◽  
pp. 107-113 ◽  
Author(s):  
Lei Deng ◽  
Xie Ping Ding
Keyword(s):  
Fixed Points ◽  
Iteration Scheme ◽  
Lipschitz Functions ◽  
Convergence Theorems ◽  
General Convergence

In this paper, we consider Ishikawa's iteration scheme to compute fixed points of real Lipschitz functions. Two general convergence theorems are obtained. Our results generalise the result of Hillam.

scholarly journals Common Fixed Points of Multistep Noor Iterations with Errors for a Finite Family of Generalized Asymptotically Quasi-Nonexpansive Mappings

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
S. Imnang ◽  
S. Suantai
Keyword(s):  
Fixed Points ◽  
Banach Spaces ◽  
Iterative Scheme ◽  
Nonexpansive Mappings ◽  
Common Fixed Points ◽  
Iteration Scheme ◽  
Finite Family ◽  
Special Cases

We introduce a general iteration scheme for a finite family of generalized asymptotically quasi-nonexpansive mappings in Banach spaces. The new iterative scheme includes the multistep Noor iterations with errors, modified Mann and Ishikawa iterations, three-step iterative scheme of Xu and Noor, and Khan and Takahashi scheme as special cases. Our results generalize and improve the recent ones announced by Khan et al. (2008), H. Fukhar-ud-din and S. H. Khan (2007), J. U. Jeong and S. H. Kim (2006), and many others.

scholarly journals Finding common fixed points of nonexpansive mappings by iteration

2000 ◽  
Vol 62 (2) ◽  
pp. 307-310 ◽  
Author(s):  
B. E. Rhoades
Keyword(s):  
Fixed Point ◽  
Fixed Points ◽  
Common Fixed Point ◽  
Nonexpansive Mappings ◽  
Common Fixed Points ◽  
Iteration Scheme ◽  
Finite Set

In this paper it is shown that a particular iteration scheme converges weakly to a common fixed point of a finite set of nonexpansive mappings. This result is an improvement of two related theorems in the literature.

scholarly journals Iterative approximations of common fixed points with simulation results in Banach spaces

2020 ◽  
Author(s):  
Ashis Bera ◽  
Ankush Chanda ◽  
Lakshmi Kanta Dey
Keyword(s):  
Fixed Points ◽  
Iterative Scheme ◽  
Common Fixed Points ◽  
Iteration Scheme ◽  
The Other ◽  
The Novel ◽  
Weak And Strong Convergence ◽  
Analytic Proof ◽  
Convergence Results ◽  
The Common

In this article, we propose the Abbas-Nazir three step iteration scheme and employ the algorithm to study the common fixed points of a pair of generalized $\alpha$-Reich-Suzuki non-expansive mappings defined on a Banach space. Moreover, we explore a few weak and strong convergence results concerning such mappings. Our findings are aptly validated by non-trivial and constructive numerical examples and finally, we compare our results with that of the other noteworthy iterative schemes utilizing MATLAB $2017$a software. However, we perceive that for a different set of parameters and initial points, the newly proposed iterative scheme converges faster than the other well-known algorithms. To be specific, we give an analytic proof of the claim that the novel iteration scheme is also faster than that of Liu et al.

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