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Local Problems on Stars: A Posteriori Error Estimators, Convergence, and Performance

, , and . Mathematics of Computation, 72 (243): 1067-1097 (2003)
DOI: 10.1090/S0025-5718-02-01463-1

Abstract

A new computable a posteriori error estimator is introduced, which relies on the solution of small discrete problems on stars. It exhibits built-in flux equilibration and is equivalent to the energy error up to data oscillation without any saturation assumption. A simple adaptive strategy is designed, which simultaneously reduces error and data oscillation, and is shown to converge without mesh pre-adaptation nor explicit knowledge of constants. Numerical experiments reveal a competitive performance, show extremely good effectivity indices, and yield quasi-optimal meshes.

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