✨
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.
📊
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:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:non-smooth functions · smoothing techniques · non-smooth functions
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.
🔖
Cite This Article
Sahiner, A., Yilmaz, 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/1593128