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Journals / Hacettepe Journal of Mathematics and Statistics / 2019 / Cilt: 48 - Sayı: 5

Representation for the reproducing kernel Hilbert space method for a nonlinear system

Esra Karatas Akgül
Ali Akgül
Yasir Khan
Dumitru Baleanu
Pages
1345–1355
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

We prove the efficiency of the method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We apply the reproducing kernel Hilbert space method to a nonlinear system in this work.
📊
Key Findings & Data:We obtain accurate results.
💡
Conclusion & Impact:We prove the efficiency of the method.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:reproducing kernel functions · a nonlinear system · bounded linear operator

Abstract

We apply the reproducing kernel Hilbert space method to a nonlinear system in this work. We utilize this technique to overcome the nonlinearity of the problem. We obtain accurate results. We demonstrate our results by tables and figures. We prove the efficiency of the method.

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Cite This Article

Akgül, E. K., Akgül, A., Khan, Y., Baleanu, D. (2022). Representation for the reproducing kernel Hilbert space method for a nonlinear system. Hacettepe Journal of Mathematics and Statistics, Cilt: 48 - Sayı: 5, 1345–1355. https://ajindex.com/articles/530553

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