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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Furthermore we give an example for generalized $\alpha-$nonexpansive mapping but does not satisfy $(C)$ condition.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper we introduce a new iteration process for approximation of fixed points.
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Key Findings & Data:We numerically compare convergence behavior of our iteration process with other iteration process like M-iteration process.
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Conclusion & Impact:Furthermore we give an example for generalized $\alpha-$nonexpansive mapping but does not satisfy $(C)$ condition.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Uniformly convex Banach spaces · iteration processes · generalized $\alpha-$nonexpansive mappings
Abstract
In this paper we introduce a new iteration process for approximation of fixed points. We numerically compare convergence behavior of our iteration process with other iteration process like M-iteration process. We also prove weak and strong convergence theorems for generalized $\alpha-$nonexpansive mappings by using new iteration process. Furthermore we give an example for generalized $\alpha-$nonexpansive mapping but does not satisfy $(C)$ condition.
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Cite This Article
TEMİR, S., KORKUT, Ö. (2022). Approximating Fixed Points of Generalized $\alpha-$Nonexpansive Mappings by the New Iteration Process. Journal of Mathematical Sciences and Modelling, Cilt: 5 - Sayı: 1, 35–39. https://ajindex.com/articles/777558