2004
DOI: 10.1137/s0036142903428402
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Global Superconvergence and A Posteriori Error Estimators of the Finite Element Method for a Quasi-linear Elliptic Boundary Value Problem of Nonmonotone Type

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Cited by 11 publications
(4 citation statements)
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“…Demlow considered a more general case which included a ( u ) = 1 1 + | u | 2 and presented two types of pointwise a posteriori error estimates for gradient error in piecewise linear finite element approximation. Recently, using the superconvergent approximation properties of finite element solutions, postprocessing‐based a posteriori error estimates for quasi‐linear elliptic problems have been proposed in . The residual‐based a posteriori error estimates of h ‐version of the discontinuous Galerkin method for have been studied in .…”
Section: Introductionmentioning
confidence: 99%
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“…Demlow considered a more general case which included a ( u ) = 1 1 + | u | 2 and presented two types of pointwise a posteriori error estimates for gradient error in piecewise linear finite element approximation. Recently, using the superconvergent approximation properties of finite element solutions, postprocessing‐based a posteriori error estimates for quasi‐linear elliptic problems have been proposed in . The residual‐based a posteriori error estimates of h ‐version of the discontinuous Galerkin method for have been studied in .…”
Section: Introductionmentioning
confidence: 99%
“…The a posteriori error estimates of the finite element method for linear elliptic problems have been widely studied, see for instance and the references therein. The a posteriori error estimates of the finite element method for nonlinear elliptic problems have been considered in . In , Verfürth gave a general framework of a posteriori error estimates in H 1 ‐norm and L 2 ‐norm for nonlinear problems, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…The study for superconvergence of finite element methods is a topic of importance. See, for example, [1][2][3][4][5][6][7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…The supercloseness property, which follows from the supraconvergence results, plays an important rôle in postprocessing, recovery techniques for the gradient, and a posteriori error estimates (see [1,2,8,9,[16][17][18][19]29,30,35,36,38,52] and the references cited therein). In all these papers, either a uniform grid or a smooth transformation of a uniform grid (cf., e.g., [35]) has to be assumed in order to obtain optimal second-order convergence for the gradient in the L 2 (Ω)-norm if u ∈ H 3 (Ω).…”
Section: Introductionmentioning
confidence: 99%