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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Further, we generalize some of the previous outcomes.
📌 3 Key Takeaways
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Objective & Hypothesis:In this work, the Faber polynomial expansions and a different method were employed to estimate the coefficients of a subclass of bi-close-to-convex functions, which is introduced by subordination concept in the open unit disk.
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Key Findings & Data:In this work, the Faber polynomial expansions and a different method were employed to estimate the coefficients of a subclass of bi-close-to-convex functions, which is introduced by subordination concept in the open unit disk.
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Conclusion & Impact:Further, we generalize some of the previous outcomes.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bi-univalent functions · Bi-close-to-convex functions · Coefficient estimates
Abstract
In this work, the Faber polynomial expansions and a different method were employed to estimate the coefficients of a subclass of bi-close-to-convex functions, which is introduced by subordination concept in the open unit disk. Further, we generalize some of the previous outcomes.
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Cite This Article
Adegani, E. A., Zıreh, A., Jafarı, M. (2019). Faber Polynomial Coefficient Estimates for Analytic Bi-Close-to-Convex Functions Defined by Subordination. Gazi University Journal of Science, Volume: 32 Issue: 2. https://ajindex.com/articles/1269187