Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1737
Title: An accurate and novel numerical simulation with convergence analysis for nonlinear partial differential equations of Burgers-Fisher type arising in applied sciences
Authors: Kürkçü, Ömür Kuvanc
Sezer, Mehmet
Keywords: Error Analysis
Matrix-Collocation Method
Mean Value Theorem
Norlund Polynomial
Residual Function
Generalized Burger
Norlund
Huxley
Waves
Terms
Publisher: Walter De Gruyter Gmbh
Abstract: In this study, the second-order nonlinear partial differential equations of Burgers-Fisher type are considered under a unique formulation by introducing a novel highly accurate numerical method based on the Norlund rational polynomial and matrix-collocation computational system. The method aims to obtain a sustainable approach since it contains the rational structure of the Norlund polynomial. A unique computer program module, which involves very few routines, is constructed to discuss the precision and efficiency of the method and these few steps are described via an algorithm. A residual function is employed in both the error and convergence analyses with mean value theorem for double integrals. The considered equations in the numerical tests stand for model phenomena arising widely in applied sciences. Graphical and numerical comparisons provide a clear observation about the consistency of the method. All results prove that the method is highly accurate, eligible, and provides the ultimate operation for aforementioned problems.
URI: https://doi.org/10.1515/ijnsns-2020-0040
https://hdl.handle.net/20.500.13091/1737
ISSN: 1565-1339
2191-0294
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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