2021
DOI: 10.1007/s10915-021-01555-3
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A Virtual Element Method for the Steklov Eigenvalue Problem Allowing Small Edges

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Cited by 17 publications
(7 citation statements)
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“…This stabilization is the one considered in, for instance, [8] for the Laplace source problem and [17] for the Steklov eigenvalue problem. With this stabilization, we perform the computation of the convergence orders for the elasticity problem for different values of the Poisson ratio and hence, different values of the Lamé coefficient λ S .…”
Section: • Tmentioning
confidence: 99%
See 1 more Smart Citation
“…This stabilization is the one considered in, for instance, [8] for the Laplace source problem and [17] for the Steklov eigenvalue problem. With this stabilization, we perform the computation of the convergence orders for the elasticity problem for different values of the Poisson ratio and hence, different values of the Lamé coefficient λ S .…”
Section: • Tmentioning
confidence: 99%
“…The aim now is to analyze the performance of the VEM with small edges in other contexts, in fact, this research is in ongoing progress. For instance, in [17] an application of this new approach in eigenvalue problems has shown the accuracy of the approximation of the spectrum for the Steklov eigenvalue problem, in [23] for elliptic interface problems, [14] for three dimensional problems considering polytopal meshes, etc.…”
Section: Introductionmentioning
confidence: 99%
“…This is an ongoing subject of research, and the available results are for VEM spaces to discretize H 1 . Also, recently on [3,20,27,32] is possible to find applications of the small edges approach.…”
Section: Introductionmentioning
confidence: 99%
“…The VEM introduced in [12] as a generalization of FEM which is characterized by the capability of dealing with very general polygonal/polyhedral meshes, including hanging nodes and nonconvex elements (see [10,7,13,15,19,20,26,27,30,32,33,37] and refereneces therein). The VEM also permits to easily implement highly regular conforming discrete spaces [18,22] which make the method very feasible to solve various fourth-order problems [8,35,14,34,36].…”
Section: Introductionmentioning
confidence: 99%