Multiscale, Nonlinear and Adaptive Approximation 2009
DOI: 10.1007/978-3-642-03413-8_14
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Optimal multilevel methods for H(grad), H(curl), and H(div) systems on graded and unstructured grids

Abstract: We give an overview of multilevel methods, such as V-cycle multigrid and BPX preconditioner, for solving various partial differential equations (including H(grad), H(curl) and H(div) systems) on quasi-uniform meshes and extend them to graded meshes and completely unstructured grids. We first discuss the classical multigrid theory on the basis of the method of subspace correction of Xu and a key identity of Xu and Zikatanov. We next extend the classical multilevel methods in H(grad) to graded bisection grids up… Show more

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Cited by 57 publications
(83 citation statements)
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References 82 publications
(140 reference statements)
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“…can be constructed either by adaptive refinement strategies starting from the initial mesh 0 (see, e.g., [11,32]), or by some coarsening strategies starting from the final mesh L (see, e.g., [19,35]). Recently, Xu, Chen, and Nochetto [35] present a unified framework for the uniform convergence of multilevel methods for H 1 (Ω)-, H (curl, Ω)-, H (div, Ω)-multigrid method for H (curl, Ω)-elliptic problems on meshes with and without hanging nodes.…”
Section: Introductionmentioning
confidence: 99%
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“…can be constructed either by adaptive refinement strategies starting from the initial mesh 0 (see, e.g., [11,32]), or by some coarsening strategies starting from the final mesh L (see, e.g., [19,35]). Recently, Xu, Chen, and Nochetto [35] present a unified framework for the uniform convergence of multilevel methods for H 1 (Ω)-, H (curl, Ω)-, H (div, Ω)-multigrid method for H (curl, Ω)-elliptic problems on meshes with and without hanging nodes.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Xu, Chen, and Nochetto [35] present a unified framework for the uniform convergence of multilevel methods for H 1 (Ω)-, H (curl, Ω)-, H (div, Ω)-multigrid method for H (curl, Ω)-elliptic problems on meshes with and without hanging nodes.…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations