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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
To indicate the efficiency of the proposed method, various illustrative examples are solved.
📌 3 Key Takeaways
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Objective & Hypothesis:This paper aims to solve the fractional differential equations (FDEs) with operational matrix method by Hermite polynomials in the sense of Caputo derivative.
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Key Findings & Data:For this purpose, we attempt to re-define the FDEs with a set of algebraic equations with initial conditions which simplifies the complete problem.
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Conclusion & Impact:To indicate the efficiency of the proposed method, various illustrative examples are solved.
🔬Design:Konferans Bildirisi
📍Scope:Comprehensive Sample
⚙️Variables:Caputo derivative · Fractional Integration · Hermite
Abstract
This paper aims to solve the fractional differential equations (FDEs) with operational matrix method by Hermite polynomials in the sense of Caputo derivative. For this purpose, we attempt to re-define the FDEs with a set of algebraic equations with initial conditions which simplifies the complete problem. We achieve either exact or approximated solutions by solving these algebraic equations with the proposed method. To indicate the efficiency of the proposed method, various illustrative examples are solved.
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Cite This Article
Koşunalp, H. Y., Gülsu, M. (2020). Hermite Operational Matrix for Solving Fractional Differential Equations. Conference Proceedings of Science and Technology, Cilt: 3 Sayı: 1, 87–90. https://ajindex.com/articles/1648713