2008
DOI: 10.1142/s0218202508002838
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A Basic Convergence Result for Conforming Adaptive Finite Elements

Abstract: Abstract. We consider the approximate solution with adaptive finite elements of a class of linear boundary value problems, which includes problems of 'saddle point' type. For the adaptive algorithm we suppose the following framework: refinement relies on unique quasi-regular element subdivisions and generates locally quasi-uniform grids, the finite element spaces are conforming, nested, and satisfy the inf-sup conditions, the error estimator is reliable as well as locally and discretely efficient, and marked e… Show more

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Cited by 133 publications
(194 citation statements)
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“…where pw, oq P W 1,r 1 0 pΩq dˆLr 1 pΩq{R. Although for the sake of simplicity we restrict ourselves here to residual-based estimates, we note that in principle other a posteriori techniques, such as hierarchical estimates, flux-equilibration or estimates based on local problems, can be used as well; compare with [MSV08,Sie11]. For n P N and G P G let`U n G , P n G˘P VpGqˆQ 0 pGq be the Galerkin approximation defined in (3.20).…”
Section: 2mentioning
confidence: 99%
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“…where pw, oq P W 1,r 1 0 pΩq dˆLr 1 pΩq{R. Although for the sake of simplicity we restrict ourselves here to residual-based estimates, we note that in principle other a posteriori techniques, such as hierarchical estimates, flux-equilibration or estimates based on local problems, can be used as well; compare with [MSV08,Sie11]. For n P N and G P G let`U n G , P n G˘P VpGqˆQ 0 pGq be the Galerkin approximation defined in (3.20).…”
Section: 2mentioning
confidence: 99%
“…Corollary 22 states the stability properties of the estimator, which are required in order to apply the convergence theory in [Sie11,MSV08]; compare with [Sie11, (2.10b)], for example. The stability of the estimator is also of importance for the efficiency of the estimator.…”
Section: Theorem 21 (Lower Bound On the Residual) Under The Conditiomentioning
confidence: 99%
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“…The convergence properties of AFEM have become the subject of intense theoretical study only in the past few years, however. We refer to [6,[11][12][13][14] for an overview of progress in basic convergence theory for AFEM for linear elliptic problems. Optimal convergence rates were demonstrated in [4,19].…”
mentioning
confidence: 99%
“…The latter work was generalized in various directions. Lately, convergence of adaptive methods with marking strategies other than Dörfler's, for a large class of linear problems with different a posteriori error estimators, and without requiring the marking due to oscillation or the interior node property, was proved in [Morin Siebert Veeser 2007]. The result only leads to asymptotic convergence without an error reduction in every step, which seems to be essential to prove optimality though (see [Stevenson 2006, Cascón et.…”
Section: Introductionmentioning
confidence: 99%