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D. Kelly, J. Gago, O. Zienkiewicz, I. Babuska (1983)
A posteriori error analysis and adaptive processes in the finite element method: Part I—error analysisInternational Journal for Numerical Methods in Engineering, 19
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Analysis of the Zienkiewicz–Zhu a‐posteriori error estimator in the finite element methodInternational Journal for Numerical Methods in Engineering, 28
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G. Carey, D. Humphrey (1981)
Mesh refinement and iterative solution methods for finite element computationsInternational Journal for Numerical Methods in Engineering, 17
O. Zienkiewicz, J. Zhu (1992)
The superconvergent patch recovery and a posteriori error estimates. Part 2: Error estimates and adaptivityInternational Journal for Numerical Methods in Engineering, 33
O. Zienkiewicz, J. Zhu (1992)
The superconvergent patch recovery and a posteriori error estimates. Part 1: The recovery techniqueInternational Journal for Numerical Methods in Engineering, 33
I. Babuska, W. Rheinboldt (1978)
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J. Zhu, O. Zienkiewicz (1990)
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I. Babuska, W. Rheinboldt (1979)
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I. Babuska, A. Miller (1984)
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P. Baehmann, M. Shephard, J. Flaherty (1992)
a posteriori Error estimation for triangular and tetrahedral quadratic elements using interior residualsInternational Journal for Numerical Methods in Engineering, 34
Doug Faires, E. Yanik, G. Fairweather (1981)
Numerical Analysis
D. Kelly (1984)
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Two different a posteriori error estimation techniques are proposed in this paper. The effectiveness of the error estimates in adaptive mesh refinement for 2D and 3D electrostatic problems are also analyzed with numerical test results. The postprocessing method employs an improved solution to estimate the error, whereas the gradient of field method utilizes the gradient of the field solution for estimating the a posterior error. The gradient of field method is computationally inexpensive, since it solves a local problem on a patch of elements. The error estimates are tested by solving a set of selfadjoint boundary value problems in 2D and 3D using a hierarchical minimal tree based mesh refinement algorithm. The numerical test results and the performance evaluation establish the effectiveness of the proposed error estimates for adaptive mesh refinement.
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing
Published: Feb 1, 1995
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