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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The results presented in the paper improve and extend some recent results announced by Chang, Ofoedu, Schu and Zeng, and many others.
📌 3 Key Takeaways
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Objective & Hypothesis:The purpose of this paper is to prove a strong convergence theorem for a finite family of uniformly L-Lipschitzian mappings through the viscosity parallel iterative algorithm in Banach spaces.
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Key Findings & Data:The purpose of this paper is to prove a strong convergence theorem for a finite family of uniformly L-Lipschitzian mappings through the viscosity parallel iterative algorithm in Banach spaces.
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Conclusion & Impact:The results presented in the paper improve and extend some recent results announced by Chang, Ofoedu, Schu and Zeng, and many others.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The purpose of this paper is to prove a strong convergence theorem for a finite family of uniformly L-Lipschitzian mappings through the viscosity parallel iterative algorithm in Banach spaces. The results presented in the paper improve and extend some recent results announced by Chang, Ofoedu, Schu and Zeng, and many others.
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Cite This Article
GU, F. (2022). An iterative algorithm combining the viscosity method with the parallel method for a finite family of uniformly l-Lipschitzian mappings. Hacettepe Journal of Mathematics and Statistics, Cilt: 40 - Sayı: 3, 453–460. https://ajindex.com/articles/530611