Title
Effective postprocessing for equilibration a posteriori error estimators
Abstract
Guaranteed error control via fully discrete a posteriori error estimators is possible with typical overestimation between 1.25 and 2 in simple computer benchmarks. The equilibration techniques due to Braess and that due to Luce---Wohlmuth are efficient tools with an accuracy limited by the hyper-circle threshold. This motivates postprocessing strategies and the analysis of successive improvements of guaranteed upper error bounds with a few pcg iterations result in reduced overestimation factors between 1 and 1.25. Numerical simulations for three classes of applications illustrate the efficiency for the Poisson model problem with and without jumping coefficients or a simple obstacle problem.
Year
DOI
Venue
2013
10.1007/s00211-012-0494-4
Numerische Mathematik
Keywords
Field
DocType
65n15,65n30,65r20
Mathematical optimization,A priori and a posteriori,Error detection and correction,Obstacle problem,Mathematics,Estimator
Journal
Volume
Issue
ISSN
123
3
0945-3245
Citations 
PageRank 
References 
3
0.43
11
Authors
2
Name
Order
Citations
PageRank
C Carstensen1944163.02
Christian Merdon2627.33