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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The results are illustrated both in tableand graphically.
📌 3 Key Takeaways
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Objective & Hypothesis:In this work, we consider the hyperbolic equations to determine the approximatesolutions via Sinc-Galerkin Method (SGM).
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Key Findings & Data:Without any numerical integration,the partial differential equation transformed to an algebraic equationsystem.
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Conclusion & Impact:The results are illustrated both in tableand graphically.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this work, we consider the hyperbolic equations to determine the approximatesolutions via Sinc-Galerkin Method (SGM). Without any numerical integration,the partial differential equation transformed to an algebraic equationsystem. For the numerical calculations, Maple is used. Several numericalexamples are investigated and the results determined from the method arecompared with the exact solutions. The results are illustrated both in tableand graphically.
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Cite This Article
SEÇER, A. (2022). Sinc-Galerkin method for solving hyperbolic partial differential equations. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 8 - Sayı: 2, 250–258. https://ajindex.com/articles/440641