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Journals / Journal of Multidisciplinary Modeling and Optimization / 2018 / Cilt: 1 - Sayı: 2

Smoothing Approximations to Non-smooth Functions

Ahmet SAHİNER
Nurullah YİLMAZ
Shehab Ahmed IBRAHEM
Pages
69–74
Publication Date
2019-01-21
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, some numerical examples are given.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, a new smoothing method is proposed for non-smooth functions.
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Key Findings & Data:The theoretical results and error estimates are presented about this new smoothing method.
💡
Conclusion & Impact:Finally, some numerical examples are given.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:non-smooth functions · smoothing techniques

Abstract

In this study, a new smoothing method is proposed for non-smooth functions. The theoretical results and error estimates are presented about this new smoothing method. Finally, some numerical examples are given.

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Cite This Article

SAHİNER, A., YİLMAZ, N., IBRAHEM, S. A. (2019). Smoothing Approximations to Non-smooth Functions. Journal of Multidisciplinary Modeling and Optimization, Cilt: 1 - Sayı: 2, 69–74. https://ajindex.com/articles/836279

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