2017
DOI: 10.1007/s00211-017-0891-9
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A posteriori error estimates for the virtual element method

Abstract: An posteriori error analysis for the virtual element method (VEM) applied to general elliptic problems is presented. The resulting error estimator is of residual-type and applies on very general polygonal/polyhedral meshes. The estimator is fully computable as it relies only on quantities available from the VEM solution, namely its degrees of freedom and element-wise polynomial projection. Upper and lower bounds of the error estimator with respect to the VEM approximation error are proven. The error estimator … Show more

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Cited by 205 publications
(145 citation statements)
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“…As depicted in Figure 2, the recoverybased estimators recover the optimal convergence rate of O(N −1/2 ) and produce similar results compared to residual-based estimators [20,27]. To this end, we consider the Laplace problem on the L-shaped domain Ω = (−1, 1) 2 \ [0, 1] 2 with Dirichlet conditions g(r, ϕ) = r 2/3 sin(2(ϕ − π/2)/3) in polar coordinates (r, ϕ).…”
mentioning
confidence: 85%
“…As depicted in Figure 2, the recoverybased estimators recover the optimal convergence rate of O(N −1/2 ) and produce similar results compared to residual-based estimators [20,27]. To this end, we consider the Laplace problem on the L-shaped domain Ω = (−1, 1) 2 \ [0, 1] 2 with Dirichlet conditions g(r, ϕ) = r 2/3 sin(2(ϕ − π/2)/3) in polar coordinates (r, ϕ).…”
mentioning
confidence: 85%
“…Now we consider the lower bound (efficiency) estimate by using standard bubble function technique. Bubble functions on general polygons can be constructed in the manner of (, page 7).Lemma (Element bubble functions ) . Let KscriptTh and let ψKH01K be the corresponding bubble function.…”
Section: A Posteriori Error Estimates For Dg Methodsmentioning
confidence: 99%
“…The ideas we present here can, however, be generalised to much more complicated situations by applying similar processes to compute the various required terms. The possible extensions of this code are endless: the implementation of higher order methods, more general elliptic operators including lower order terms and non-constant coefficients [8,14], basis functions with higher global regularity properties [10], mesh adaptation driven by a posteriori error indicators [12], or the consideration of time dependent problems [30] to name but a few.…”
Section: Conclusion and Extensionsmentioning
confidence: 99%