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Improving Numerical Accuracy of the Localized Oscillatory Radial Basis Functions Collocation Method for Solving Elliptic Partial Differential Equations in 2D

Author

Listed:
  • Anup Lamichhane

    (School of Science, Technology, and Mathematics, Ohio Northern University, Ada, OH 45810, USA)

  • Balaram Khatri Ghimire

    (Department of Mathematics and Computer Science, Alabama State University, Montgomery, AL 39104, USA)

  • Thir Dangal

    (Department of Mathematics, Augusta University, Augusta, GA 30912, USA)

Abstract

Recently, the localized oscillatory radial basis functions collocation method (L-ORBFs) has been introduced to solve elliptic partial differential equations in 2D with a large number of computational nodes. The research clearly shows that the L-ORBFs is very convenient and useful for solving large-scale problems, but this method is numerically less accurate. In this paper, we propose a numerical scheme to improve the accuracy of the L-ORBFs by adding low-degree polynomials in the localized collocation process. The numerical results validate that the proposed numerical scheme is highly accurate and clearly outperforms the results of the L-ORBFs.

Suggested Citation

  • Anup Lamichhane & Balaram Khatri Ghimire & Thir Dangal, 2023. "Improving Numerical Accuracy of the Localized Oscillatory Radial Basis Functions Collocation Method for Solving Elliptic Partial Differential Equations in 2D," Mathematics, MDPI, vol. 11(22), pages 1-15, November.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:22:p:4690-:d:1282925
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