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Numerical Methods for Partial Differential Equations
Article . 2024 . Peer-reviewed
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Orthogonal Polynomial Bases in the Mixed Virtual Element Method

Orthogonal polynomial bases in the mixed virtual element method
Authors: Berrone S.; Scialo S.; Teora G.;

Orthogonal Polynomial Bases in the Mixed Virtual Element Method

Abstract

AbstractThe use of orthonormal polynomial bases has been found to be efficient in preventing ill‐conditioning of the system matrix in the primal formulation of Virtual Element Methods (VEM) for high values of polynomial degree and in presence of badly‐shaped polygons. However, we show that using the natural extension of a orthogonal polynomial basis built for the primal formulation is not sufficient to cure ill‐conditioning in the mixed case. Thus, in the present work, we introduce an orthogonal vector‐polynomial basis which is built ad hoc for being used in the mixed formulation of VEM and which leads to very high‐quality solution in each tested case. Furthermore, a numerical experiment related to simulations in Discrete Fracture Networks (DFN), which are often characterised by very badly‐shaped elements, is proposed to validate our procedures.

Country
Italy
Related Organizations
Keywords

ill-conditioning, Numerical methods for partial differential equations, boundary value problems, Numerical linear algebra, FOS: Mathematics, mixed VEM, ill-conditioning; mixed VEM; orthogonal polynomial basis, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Elliptic equations and elliptic systems, orthogonal polynomial basis

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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!
2
Average
Average
Average
Green
hybrid