IDEAS home Printed from https://ideas.repec.org/a/hin/complx/9952562.html
   My bibliography  Save this article

Numerical Solution of the Multiterm Time-Fractional Model for Heat Conductivity by Local Meshless Technique

Author

Listed:
  • Bander N. Almutairi
  • Ahmed E. Abouelregal
  • Bandar Bin-Mohsin
  • M. D. Alsulami
  • Phatiphat Thounthong
  • Nehad Ali Shah

Abstract

Fractional partial differential equation models are frequently used to several physical phenomena. Despite the ability to express many complex phenomena in different disciplines, researchers have found that multiterm time-fractional PDEs improve the modeling accuracy for describing diffusion processes in contrast to the results of a single term. Nowadays, it attracts the attention of the active researchers. The aim of this work is concerned with the approximate numerical solutions of the three-term time-fractional Sobolev model equation using computationally attractive and reliable technique, known as a local meshless method. Because of the meshless character and the simple application in higher dimensions, there is a growing interest in meshless techniques. To assess the reliability and accuracy of the proposed method, three test problems and two types of irregular domains are taken into account.

Suggested Citation

  • Bander N. Almutairi & Ahmed E. Abouelregal & Bandar Bin-Mohsin & M. D. Alsulami & Phatiphat Thounthong & Nehad Ali Shah, 2021. "Numerical Solution of the Multiterm Time-Fractional Model for Heat Conductivity by Local Meshless Technique," Complexity, Hindawi, vol. 2021, pages 1-10, June.
  • Handle: RePEc:hin:complx:9952562
    DOI: 10.1155/2021/9952562
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/9952562.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/9952562.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/9952562?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:complx:9952562. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.