Numerical reckoning fixed points via new faster iteration process
DOI:
https://doi.org/10.4995/agt.2022.11902Keywords:
generalized α-nonexpansive mappings, uniformly convex Banach space, iteration process, weak convergence, strong convergenceAbstract
In this paper, we propose a new iteration process which is faster than the leading S [J. Nonlinear Convex Anal. 8, no. 1 (2007), 61-79], Thakur et al. [App. Math. Comp. 275 (2016), 147-155] and M [Filomat 32, no. 1 (2018), 187-196] iterations for numerical reckoning fixed points. Using new iteration process, some fixed point convergence results for generalized α-nonexpansive mappings in the setting of uniformly convex Banach spaces are proved. At the end of paper, we offer a numerical example to compare the rate of convergence of the proposed iteration process with the leading iteration processes.Downloads
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