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Quasioptimal cardinality of AFEM driven by nonresidual estimators

Quasioptimal cardinality of AFEM driven by nonresidual estimators We examine adaptive finite element methods (AFEMs) with any polynomial degree satisfying rather general assumptions on the a posteriori error estimators. We show that several nonresidual estimators satisfy these assumptions. We design an AFEM with single Drfler marking for the sum of error estimator and oscillation, prove a contraction property for the so-called total error, namely the scaled sum of energy error and oscillation, and derive quasioptimal decay rates for the total error. We also re-examine the definition and role of oscillation in the approximation class. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png IMA Journal of Numerical Analysis Oxford University Press

Quasioptimal cardinality of AFEM driven by nonresidual estimators

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References (48)

Publisher
Oxford University Press
Copyright
The author 2011. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.
ISSN
0272-4979
eISSN
1464-3642
DOI
10.1093/imanum/drr014
Publisher site
See Article on Publisher Site

Abstract

We examine adaptive finite element methods (AFEMs) with any polynomial degree satisfying rather general assumptions on the a posteriori error estimators. We show that several nonresidual estimators satisfy these assumptions. We design an AFEM with single Drfler marking for the sum of error estimator and oscillation, prove a contraction property for the so-called total error, namely the scaled sum of energy error and oscillation, and derive quasioptimal decay rates for the total error. We also re-examine the definition and role of oscillation in the approximation class.

Journal

IMA Journal of Numerical AnalysisOxford University Press

Published: Jan 28, 2012

Keywords: error reduction convergence optimal cardinality adaptive algorithm

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