Numerical simulation and error estimation of the Davey-Stewartson equations with virtual element method
Baharak Hooshyarfarzin,
Mostafa Abbaszadeh and
Mehdi Dehghan
Applied Mathematics and Computation, 2025, vol. 489, issue C
Abstract:
This paper aims to present the virtual element method (VEM) for solving the Davey–Stewartson equations with application in fluid mechanics. The VEM is a recent technology that can be regarded as a generalization of the standard finite element method (FEM) to general meshes without the need to integrate complex nonpolynomial functions on the elements. This method only utilizes degrees of freedom associated with the boundary, hence reducing computational complexity compared to the standard FEM. To obtain a full- discrete scheme we combine a semi-implicit scheme with the VEM for time and space variable discretizations, respectively. Furthermore, we obtain an error bound for the full-discrete scheme. The theoretical analysis demonstrates that the convergence rate in the L2 norm is O(h2+τ). Numerical examples confirm efficiency and applicability of the presented method and validate the theoretical outcomes.
Keywords: Davey–Stewartson equations; Line soliton; Rogue waves; Oceanic waves; Second-order waves; Convergence analysis; Error estimate; Virtual element method; Fluid dynamics model (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300324006076
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:489:y:2025:i:c:s0096300324006076
DOI: 10.1016/j.amc.2024.129146
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().