2021
DOI: 10.1007/s42967-021-00142-5
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p-Multilevel Preconditioners for HHO Discretizations of the Stokes Equations with Static Condensation

Abstract: We propose a p-multilevel preconditioner for hybrid high-order (HHO) discretizations of the Stokes equation, numerically assess its performance on two variants of the method, and compare with a classical discontinuous Galerkin scheme. An efficient implementation is proposed where coarse level operators are inherited using $$L^2$$ L 2 -orthogonal projections defined over mesh faces and the restriction of the fine grid operators … Show more

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Cited by 11 publications
(10 citation statements)
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References 53 publications
(77 reference statements)
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“…We state here the design properties of each of the bilinear forms a h and d h , and the trilinear form t h . Most of these properties have already been obtained on the assumption of zero Dirichlet boundary conditions in [21,Section 8,9]. However, we require several of these results boundary conditions that either only impose vanishing normal components, and/or vanishing tangential curl of vector fields (see (1.1g), (1.1f)).…”
Section: Properties Of the Discrete Formsmentioning
confidence: 98%
See 2 more Smart Citations
“…We state here the design properties of each of the bilinear forms a h and d h , and the trilinear form t h . Most of these properties have already been obtained on the assumption of zero Dirichlet boundary conditions in [21,Section 8,9]. However, we require several of these results boundary conditions that either only impose vanishing normal components, and/or vanishing tangential curl of vector fields (see (1.1g), (1.1f)).…”
Section: Properties Of the Discrete Formsmentioning
confidence: 98%
“…Remark 3 (Hybrid pressure spaces). A variation of this scheme can be devised which considers hybrid scalar spaces for the Lagrange multipliers q, r. Such an approach is outlined for the Stokes problem in [9]. The use of hybrid pressure spaces automatically achieves continuity of the normal components of the velocity and magnetic fields [52].…”
Section: Discrete Problemmentioning
confidence: 99%
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“…Finally, also conserving face-defined polynomials at every level, the latest multigrid algorithm, Reference 12 developed by the present authors and which this work follows up on, is based on a prolongation operator that internally reverses the static condensation to recover coarse element-defined polynomials, before computing their traces on the fine faces. Prior to detailing this solver, we also point out the efforts made to design p-multigrid preconditioners for nonelliptic equations, [13][14][15] as well as other techniques such as domain decomposition 16,17 and nested dissection. 18 In this article, we focus on HHO discretizations, which support general polytopal meshes and arbitrary degrees of approximation.…”
Section: Introductionmentioning
confidence: 99%
“…From the matrix assembly viewpoint HHO methods are generally more expensive than DG methods, also due to the computational cost of static condensation, nevertheless matrix assembly and static condensation are intrinsically parallel tasks that are expected to show optimal scalability on multicore and manycore architectures. Besides computational efficiency considerations, HHO formulations have demonstrated to be robust with respect to mesh distortion and grading [5,17]. These features are of crucial importance in the context of CFD applications, where boundary layers are commonly employed to improve the resolution near wall.…”
Section: Introductionmentioning
confidence: 99%