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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
This paper concentrates on studying convergence and data dependence of AK iteration for the class of maps which was introduced by Berinde. Also, we will support our results with an example.
📌 3 Key Takeaways
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Objective & Hypothesis:This paper concentrates on studying convergence and data dependence of AK iteration for the class of maps which was introduced by Berinde. Also, we will support our results with an example.
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Key Findings & Data:This paper concentrates on studying convergence and data dependence of AK iteration for the class of maps which was introduced by Berinde. Also, we will support our results with an example.
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Conclusion & Impact:This paper concentrates on studying convergence and data dependence of AK iteration for the class of maps which was introduced by Berinde. Also, we will support our results with an example.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Class of Maps · Convergence of Iteration · Data Dependency
Abstract
This paper concentrates on studying convergence and data dependence of AK iteration for the class of maps which was introduced by Berinde. Also, we will support our results with an example.
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Cite This Article
Ertürk, M. (2017). Convergence and Data Dependence Results for AK Iterative Algorithm. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, Cilt: 13 Sayı: 3, 755–759. https://doi.org/10.18466/cbayarfbe.339352