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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Some numerical experiments are given to illustrate the efficacy of the refinement.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, the Bergström inequality is studied, and a refinement of this inequality is obtained by performing the optimality conditions based on abstract concavity.
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Key Findings & Data:In this paper, the Bergström inequality is studied, and a refinement of this inequality is obtained by performing the optimality conditions based on abstract concavity.
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Conclusion & Impact:Some numerical experiments are given to illustrate the efficacy of the refinement.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, the Bergström inequality is studied, and a refinement of this inequality is obtained by performing the optimality conditions based on abstract concavity. Some numerical experiments are given to illustrate the efficacy of the refinement.
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Cite This Article
YEŞİLCE, İ., ADİLOV, G., TINAZTEPE, G. (2022). A refinement of the Bergström inequality. Turkish Journal of Mathematics, Cilt: 45 - Sayı: 4, 1619–1625. https://ajindex.com/articles/607422