Local radial basis function-finite difference based algorithms for singularly perturbed Burgers’ model

This work analyzes singularly perturbed Burgers’ model by developing two meshfree algorithms based on local radial basis function-finite difference approximation. The main goal of this task is to present computational modeling of the model when perturbation parameter ɛ→0 where most of the traditiona...

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Veröffentlicht in:	Mathematics and computers in simulation Jg. 198; S. 106 - 126
1. Verfasser:	Jiwari, Ram
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2022
Schlagworte:	Convergence analysis Local radial basis function-finite difference approximation quasilinearization Singularly perturbed Burgers’ model Stability analysis Truncation error Singularly perturbed Burgers’ model Stability analysis Local radial basis function-finite difference approximation quasilinearization Truncation error Convergence analysis
ISSN:	0378-4754, 1872-7166
Online-Zugang:	Volltext
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