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A posteriori FE error control for p-Laplacian by gradient recovery in quasi-norm
Authors:Carsten Carstensen  W Liu  N Yan
Institution:Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany ; CBS & Institute of Mathematics and Statistics, University of Kent, Canterbury, CT2 7NF, England ; Institute of System Sciences, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
Abstract:A posteriori error estimators based on quasi-norm gradient recovery are established for the finite element approximation of the p-Laplacian on unstructured meshes. The new a posteriori error estimators provide both upper and lower bounds in the quasi-norm for the discretization error. The main tools for the proofs of reliability are approximation error estimates for a local approximation operator in the quasi-norm.

Keywords:Finite element approximation  p-Laplacian  a posteriori error estimators  gradient recovery  quasi-norm error bounds
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