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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
For this purpose, Taylor matrix method for the approximate solution of second order linear partial di ff erential equations with specified associated conditions in terms of Taylor polynomials about any point.
📌 3 Key Takeaways
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Objective & Hypothesis:The purpose of this study is to give a Taylor polynomial approximation for the solution of second order linear partial di ff erential equations with three variables and variable coe ffi cients.
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Key Findings & Data:The purpose of this study is to give a Taylor polynomial approximation for the solution of second order linear partial di ff erential equations with three variables and variable coe ffi cients.
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Conclusion & Impact:For this purpose, Taylor matrix method for the approximate solution of second order linear partial di ff erential equations with specified associated conditions in terms of Taylor polynomials about any point.
🔬Design:Article
📍Scope:Comprehensive Sample
⚙️Variables:Taylor polynomial solutions · partial differential equations with three variables · approximate solutions of partial differential equations
Abstract
The purpose of this study is to give a Taylor polynomial approximation for the solution of second order linear partial di ff erential equations with three variables and variable coe ffi cients. For this purpose, Taylor matrix method for the approximate solution of second order linear partial di ff erential equations with specified associated conditions in terms of Taylor polynomials about any point.
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Cite This Article
Keşan, C. (2015). Taylor Polynomial Solutions of Second Order Linear Partial Differential Equations with Three Variables. Gazi University Journal of Science, Volume: 28 Issue: 4. https://ajindex.com/articles/1269571