Application of direct meshless local Petrov–Galerkin method for numerical solution of stochastic elliptic interface problems

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Mostafa Abbaszadeh
  • Mehdi Dehghan
  • Amirreza Khodadadian
  • Clemens Heitzinger

Organisationseinheiten

Externe Organisationen

  • Amirkabir University of Technology
  • Technische Universität Wien (TUW)
  • Arizona State University
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Details

OriginalspracheEnglisch
Seiten (von - bis)1271-1292
Seitenumfang22
FachzeitschriftNumerical Methods for Partial Differential Equations
Jahrgang38
Ausgabenummer5
PublikationsstatusVeröffentlicht - 13 Juli 2022

Abstract

A truly meshless numerical procedure to simulate stochastic elliptic interface problems is developed. The meshless method is based on the generalized moving least squares approximation. This method can be implemented in a straightforward manner and has a very good accuracy for solving this kind of problems. Several realistic examples are presented to investigate the efficiency of the new procedure. Furthermore, compared with other meshless methods that have been developed, the present technique needs less CPU time.

ASJC Scopus Sachgebiete

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Application of direct meshless local Petrov–Galerkin method for numerical solution of stochastic elliptic interface problems. / Abbaszadeh, Mostafa; Dehghan, Mehdi; Khodadadian, Amirreza et al.
in: Numerical Methods for Partial Differential Equations, Jahrgang 38, Nr. 5, 13.07.2022, S. 1271-1292.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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AU - Abbaszadeh, Mostafa

AU - Dehghan, Mehdi

AU - Khodadadian, Amirreza

AU - Heitzinger, Clemens

N1 - Funding Information: FWF (Austrian Science Fund) START Project no. Y660 PDE Models for Nanotechnology Funding information Funding Information: The authors are very grateful to the reviewers for carefully reading this paper and for their comments and suggestions which have improved the paper. A. Khodadadian and C. Heitzinger acknowledge financial support by FWF (Austrian Science Fund) START Project no. Y660 PDE Models for Nanotechnology.

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