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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally, some examples are discussed to show ability ofthe presented algorithm and to confirm utility of this method.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, a weighted algorithm based on the reduced differential transform method is presented forsolving some sideways parabolic equations.
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Key Findings & Data:The proposed approach uses initial and boundary conditions simultaneously for obtaining an approximate analytical solution of equation.
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Conclusion & Impact:Finally, some examples are discussed to show ability ofthe presented algorithm and to confirm utility of this method.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, a weighted algorithm based on the reduced differential transform method is presented forsolving some sideways parabolic equations. The proposed approach uses initial and boundary conditions simultaneously for obtaining an approximate analytical solution of equation. A description of the algorithm to solve theproblem and determining the boundary condition is given. Finally, some examples are discussed to show ability ofthe presented algorithm and to confirm utility of this method.
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Cite This Article
Babaei, A., Mohammadpour, A. (2022). A Weighted Algorithm for Solving a Cauchy Problem of The Sideways Parabolic Equation. Turkish Journal of Mathematics and Computer Science, Cilt: 8 - Sayı: 8, 1–9. https://ajindex.com/articles/609170