A new higher-order RBF-FD scheme with optimal variable shape parameter for partial differential equation

Y. L. Ng, Khai Ching Ng, T. W.H. Sheu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Radial basis functions (RBFs) with multiquadric (MQ) kernel have been commonly used to solve partial differential equation (PDE). The MQ kernel contains a user-defined shape parameter (ε), and the solution accuracy is strongly dependent on the value of this ε. In this study, the MQ-based RBF finite difference (RBF-FD) method is derived in a polynomial form. The optimal value of ε is computed such that the leading error term of the RBF-FD scheme is eliminated to improve the solution accuracy and to accelerate the rate of convergence. The optimal ε is computed by using finite difference (FD) and combined compact differencing (CCD) schemes. From the analyses, the optimal ε is found to vary throughout the domain. Therefore, by using the localized shape parameter, the computed PDE solution accuracy is higher as compared to the RBF-FD scheme which employs a constant value of ε. In general, the solution obtained by using the ε computed from CCD scheme is more accurate, but at a higher computational cost. Nevertheless, the cost-effectiveness study shows that when the number of iterative prediction of ε is limited to two, the present RBF-FD with ε by CCD scheme is as effective as the one using FD scheme.

Original languageEnglish
Pages (from-to)289-311
Number of pages23
JournalNumerical Heat Transfer, Part B: Fundamentals
Volume75
Issue number5
DOIs
Publication statusPublished - 04 May 2019

Fingerprint

Shape Parameter
Radial Functions
Finite Difference Scheme
partial differential equations
Partial differential equations
Basis Functions
Partial differential equation
Higher Order
Finite Difference
kernel
cost effectiveness
Cost-effectiveness
Cost effectiveness
Error term
Finite difference method
Difference Method
Accelerate
Computational Cost
polynomials
Rate of Convergence

All Science Journal Classification (ASJC) codes

  • Numerical Analysis
  • Modelling and Simulation
  • Condensed Matter Physics
  • Mechanics of Materials
  • Computer Science Applications

Cite this

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abstract = "Radial basis functions (RBFs) with multiquadric (MQ) kernel have been commonly used to solve partial differential equation (PDE). The MQ kernel contains a user-defined shape parameter (ε), and the solution accuracy is strongly dependent on the value of this ε. In this study, the MQ-based RBF finite difference (RBF-FD) method is derived in a polynomial form. The optimal value of ε is computed such that the leading error term of the RBF-FD scheme is eliminated to improve the solution accuracy and to accelerate the rate of convergence. The optimal ε is computed by using finite difference (FD) and combined compact differencing (CCD) schemes. From the analyses, the optimal ε is found to vary throughout the domain. Therefore, by using the localized shape parameter, the computed PDE solution accuracy is higher as compared to the RBF-FD scheme which employs a constant value of ε. In general, the solution obtained by using the ε computed from CCD scheme is more accurate, but at a higher computational cost. Nevertheless, the cost-effectiveness study shows that when the number of iterative prediction of ε is limited to two, the present RBF-FD with ε by CCD scheme is as effective as the one using FD scheme.",
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A new higher-order RBF-FD scheme with optimal variable shape parameter for partial differential equation. / Ng, Y. L.; Ng, Khai Ching; Sheu, T. W.H.

In: Numerical Heat Transfer, Part B: Fundamentals, Vol. 75, No. 5, 04.05.2019, p. 289-311.

Research output: Contribution to journalArticle

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