2015
DOI: 10.1007/s00211-015-0763-0
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Maximum-norm a posteriori error estimates for singularly perturbed elliptic reaction-diffusion problems

Abstract: Residual-type a posteriori error estimates in the maximum norm are given for singularly perturbed semilinear reaction-diffusion equations posed in polyhedral domains. Standard finite element approximations are considered. The error constants are independent of the diameters of mesh elements and the small perturbation parameter. In our analysis, we employ sharp bounds on the Green's function of the linearized differential operator. Numerical results are presented that support our theoretical findings.

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Cited by 35 publications
(43 citation statements)
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“…In Figure 7.3 we plot the observed errors }u´u h } 8 ;Ω versus degrees of freedom (DOF) for fixed ε " 10´4 (left) and ε varied (right). We observe that the mesh refinement yields a very dramatic error reduction (compared with the isotropic mesh refinement [6]). While the maximum mesh aspect ratios vary between 2 and 3.35e+7, the effectivity indices do not exceed 85 in all our experiments.…”
Section: Further Mesh Assumptions Second Estimatormentioning
confidence: 90%
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“…In Figure 7.3 we plot the observed errors }u´u h } 8 ;Ω versus degrees of freedom (DOF) for fixed ε " 10´4 (left) and ε varied (right). We observe that the mesh refinement yields a very dramatic error reduction (compared with the isotropic mesh refinement [6]). While the maximum mesh aspect ratios vary between 2 and 3.35e+7, the effectivity indices do not exceed 85 in all our experiments.…”
Section: Further Mesh Assumptions Second Estimatormentioning
confidence: 90%
“…We additionally assume that C f`ε 2 ě 1 (as a division by C f`ε 2 immediately reduces (1.1) to this case). Residual-type a posteriori error estimates in the maximum norm for this equation and its version in R 3 were recently proved in [6] in the case of shape-regular triangulations. In the present paper, we restrict our consideration to Ω in R 2 and linear finite elements, but our focus now shifts to more challenging anisotropic meshes, i.e.…”
mentioning
confidence: 96%
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