1999
DOI: 10.1090/s0025-5718-99-01125-4
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A comparison of a posteriori error estimators for mixed finite element discretizations by Raviart-Thomas elements

Abstract: Abstract. We consider mixed finite element discretizations of linear second order elliptic boundary value problems with respect to an adaptively generated hierarchy of possibly highly nonuniform simplicial triangulations. In particular, we present and analyze four different kinds of error estimators: a residual based estimator, a hierarchical one, error estimators relying on the solution of local subproblems and on a superconvergence result, respectively. Finally, we examine the relationship between the presen… Show more

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Cited by 83 publications
(58 citation statements)
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“…Several a posteriori error estimators have been developed and analyzed for the mixed finite element methods based on the above formulation; see, for example, [2,4,7,16] for some early works and [1,[10][11][12]15] for more recent ones. The performance of an error estimator is commonly measured by the effectivity index which is the ratio of the estimated error to the actual error.…”
Section: Introductionmentioning
confidence: 99%
“…Several a posteriori error estimators have been developed and analyzed for the mixed finite element methods based on the above formulation; see, for example, [2,4,7,16] for some early works and [1,[10][11][12]15] for more recent ones. The performance of an error estimator is commonly measured by the effectivity index which is the ratio of the estimated error to the actual error.…”
Section: Introductionmentioning
confidence: 99%
“…A posteriori error estimates for mixed finite element methods were started in the works of Alonso [7], Braess and Verfürth [15], Carstensen [23], Hoppe and Wohlmuth [39], Achchab et al [2], Wohlmuth and Hoppe [67], Carstensen and Bartels [24], Kirby [42], El Alaoui and Ern [34], Wheeler and Yotov [66], and Lovadina and Stenberg [44]. For some discussion of these results, we refer to [62].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the duality argument was used in [9] to derive an error estimator for the L 2 -norm of the scalar error, which requires a certain regularity on the given problem. For other types of error estimators and their comparison we refer to [22].…”
Section: Introductionmentioning
confidence: 99%