1996
DOI: 10.1002/(sici)1097-0207(19960630)39:12<2005::aid-nme940>3.0.co;2-d
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Hypersingular Residuals—a New Approach for Error Estimation in the Boundary Element Method

Abstract: SUMMARYThis paper presents a new approach for a posteriori 'pointwise' error estimation in the boundary element method. The estimator relies upon evaluation of the residual of hypersingular integral equations, and is therefore intrinsic to the boundary integral equation approach. A methodology is developed for approximating the error on the boundary as well as in the interior of the domain. Extensive computational experiments have been performed for the two-dimensional Laplace equation and the numerical result… Show more

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Cited by 40 publications
(20 citation statements)
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“…We investigate this new error estimator ͉u UT x Ϫ u LM x͉ or ͉t UT x Ϫ t LM x͉ for comparison with both the error estimator e(x) and exact error E(x) defined by Paulino et al [8,9].…”
Section: New Version Of a Posteriori Pointwise Error Estimator For Thmentioning
confidence: 99%
See 3 more Smart Citations
“…We investigate this new error estimator ͉u UT x Ϫ u LM x͉ or ͉t UT x Ϫ t LM x͉ for comparison with both the error estimator e(x) and exact error E(x) defined by Paulino et al [8,9].…”
Section: New Version Of a Posteriori Pointwise Error Estimator For Thmentioning
confidence: 99%
“…The discretization error is defined as the difference between the exact solution and the numerical approximation of the governing equation. Obtaining a reliable error estimation [1][2][3][4][5][6][7][8][9][10][11][12] is very important in order to guarantee a certain level of accuracy of the numerical result, and is a key factor of the adaptive mesh procedure [3][4][5][6][13][14][15][16][17]. Thus, estimation of the discretization error in the Boundary Element Method (BEM) is worthy of study.…”
Section: Introductionmentioning
confidence: 99%
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“…[24], Paulino et al proposed the evaluation of the residual of HBIEs as an error indicator. The method presented by them was developed for the approximation of the error on the boundary as well as in the interior of the domain.…”
Section: Introductionmentioning
confidence: 99%