Best proximity points of (EP)-operators with qualitative analysis and simulation

Mathematics and Computers in Simulation(2021)

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摘要
In this paper, we analyze a Thakur three-step iterative process adapted for the context of non-self-mappings. Based on this iteration, we state and prove the existence of best proximity points for the recently introduced class of (EP)-non-self-mappings. Under certain assumptions, we study the convergence of the considered Thakur process to a best proximity point for the same class of operators. Moreover, we design a CQ-type algorithm which strongly converges to a best proximity point of such kind of mappings. In addition, we present the CQ-variant of the proposed algorithm that strongly converges to a best proximity pair. Some examples and numerical simulations sustain the efficiency of our new algorithms.
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关键词
Best proximity point,Non-self mapping,CQ algorithm,P-property,Hybrid algorithm
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