IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i13p1535-d586017.html
   My bibliography  Save this article

Infinitely Smooth Polyharmonic RBF Collocation Method for Numerical Solution of Elliptic PDEs

Author

Listed:
  • Chih-Yu Liu

    (Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan
    Department of Harbor and River Engineering, School of Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan)

  • Cheng-Yu Ku

    (Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan
    Department of Harbor and River Engineering, School of Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan)

  • Li-Dan Hong

    (Department of Harbor and River Engineering, School of Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan)

  • Shih-Meng Hsu

    (Department of Harbor and River Engineering, School of Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan)

Abstract

In this article, a novel infinitely smooth polyharmonic radial basis function (PRBF) collocation method for solving elliptic partial differential equations (PDEs) is presented. The PRBF with natural logarithm is a piecewise smooth function in the conventional radial basis function collocation method for solving governing equations. We converted the piecewise smooth PRBF into an infinitely smooth PRBF using source points collocated outside the domain to ensure that the radial distance was always greater than zero to avoid the singularity of the conventional PRBF. Accordingly, the PRBF and its derivatives in the governing PDEs were always continuous. The seismic wave propagation problem, groundwater flow problem, unsaturated flow problem, and groundwater contamination problem were investigated to reveal the robustness of the proposed PRBF. Comparisons of the conventional PRBF with the proposed method were carried out as well. The results illustrate that the proposed approach could provide more accurate solutions for solving PDEs than the conventional PRBF, even with the optimal order. Furthermore, we also demonstrated that techniques designed to deal with the singularity in the original piecewise smooth PRBF are no longer required.

Suggested Citation

  • Chih-Yu Liu & Cheng-Yu Ku & Li-Dan Hong & Shih-Meng Hsu, 2021. "Infinitely Smooth Polyharmonic RBF Collocation Method for Numerical Solution of Elliptic PDEs," Mathematics, MDPI, vol. 9(13), pages 1-22, June.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:13:p:1535-:d:586017
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/13/1535/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/13/1535/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jingang Xiong & Jiancong Wen & Yan-Cheng Liu, 2020. "Localized Boundary Knot Method for Solving Two-Dimensional Laplace and Bi-Harmonic Equations," Mathematics, MDPI, vol. 8(8), pages 1-16, July.
    2. Biazar, Jafar & Hosami, Mohammad, 2017. "An interval for the shape parameter in radial basis function approximation," Applied Mathematics and Computation, Elsevier, vol. 315(C), pages 131-149.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cheng-Yu Ku & Jing-En Xiao & Chih-Yu Liu, 2020. "A Novel Meshfree Approach with a Radial Polynomial for Solving Nonhomogeneous Partial Differential Equations," Mathematics, MDPI, vol. 8(2), pages 1-22, February.
    2. Yang Wu & Junli Zhang & Shuang Ding & Yan-Cheng Liu, 2022. "Localized Boundary Knot Method for Solving Two-Dimensional Inverse Cauchy Problems," Mathematics, MDPI, vol. 10(8), pages 1-17, April.
    3. Ku, Cheng-Yu & Xiao, Jing-En & Liu, Chih-Yu & Lin, Der-Guey, 2021. "On solving elliptic boundary value problems using a meshless method with radial polynomials," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 153-173.
    4. Su, LingDe, 2019. "A radial basis function (RBF)-finite difference (FD) method for the backward heat conduction problem," Applied Mathematics and Computation, Elsevier, vol. 354(C), pages 232-247.
    5. R. Cavoretto & A. Rossi & M. S. Mukhametzhanov & Ya. D. Sergeyev, 2021. "On the search of the shape parameter in radial basis functions using univariate global optimization methods," Journal of Global Optimization, Springer, vol. 79(2), pages 305-327, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:13:p:1535-:d:586017. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.