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

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Authors

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

Research Organisations

External Research Organisations

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

Original languageEnglish
Pages (from-to)1271-1292
Number of pages22
JournalNumerical Methods for Partial Differential Equations
Volume38
Issue number5
Publication statusPublished - 13 Jul 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.

Keywords

    complex computational domains, generalized moving least squares approximation, jump boundary conditions, stochastic elliptic interface problems, thin film elliptic interface problem

ASJC Scopus subject areas

Cite this

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, Vol. 38, No. 5, 13.07.2022, p. 1271-1292.

Research output: Contribution to journalArticleResearchpeer review

Download
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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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