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A Nodal Ghost Method Based on Variational Formulation And Regular Square Grid for Elliptic Problems on Arbitrary Domains in Two Space Dimensions

A nodal ghost method based on variational formulation and regular square grid for elliptic problems on arbitrary domains in two space dimensions
Authors: Astuto C.; Boffi D.; Russo G.; Zerbinati U.;

A Nodal Ghost Method Based on Variational Formulation And Regular Square Grid for Elliptic Problems on Arbitrary Domains in Two Space Dimensions

Abstract

This paper focuses on the numerical solution of elliptic partial differential equations (PDEs) with Dirichlet and mixed boundary conditions, specifically addressing the challenges arising from irregular domains. Both finite element method (FEM) and finite difference method (FDM), face difficulties in dealing with arbitrary domains. The paper introduces a novel nodal symmetric ghost {method based on a variational formulation}, which combines the advantages of FEM and FDM. The method employs bilinear finite elements on a structured mesh and provides a detailed implementation description. A rigorous a priori convergence rate analysis is also presented. The convergence rates are validated with many numerical experiments, in both one and two space dimensions.

Country
Italy
Keywords

nodal ghost elements, Unfitted boundary methods, elliptic equations, Nodal ghost elements, Numerical Analysis (math.NA), Elliptic equations, Partial differential equations, unfitted boundary methods, Mathematics - Analysis of PDEs, a priori convergence analysis, FOS: Mathematics, arbitrary domain, Mathematics - Numerical Analysis, Arbitrary domain, Numerical analysis, Analysis of PDEs (math.AP)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
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