2013
DOI: 10.1007/s10444-013-9316-1
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On the parameter choice in grad-div stabilization for the Stokes equations

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Cited by 103 publications
(110 citation statements)
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References 27 publications
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“…Numerical analysis, e.g., in [90,117] shows that for finite element discretizations satisfying (9) the choice of the stabilization parameter τ c = O(1) with respect to the mesh width leads to optimal error estimates. However, a good choice of τ c depends usually on (unknown) norms of the solution (u, p) of (59) and on whether or not the sequence of weakly divergence-free subspaces contained in the discretely divergence-free spaces X h,div has an optimal approximation property.…”
Section: Numerical Analysismentioning
confidence: 99%
“…Numerical analysis, e.g., in [90,117] shows that for finite element discretizations satisfying (9) the choice of the stabilization parameter τ c = O(1) with respect to the mesh width leads to optimal error estimates. However, a good choice of τ c depends usually on (unknown) norms of the solution (u, p) of (59) and on whether or not the sequence of weakly divergence-free subspaces contained in the discretely divergence-free spaces X h,div has an optimal approximation property.…”
Section: Numerical Analysismentioning
confidence: 99%
“…This, as well, provides more flexibility for the choice of γ K (see [JJ+14 JJ+14] for a detailed discussion of this issue in the case of the Stokes problem).…”
Section: A-priori Estimatesmentioning
confidence: 99%
“…In [MT15 MT15] velocity stabilisation terms that satisfy (3.5 3.5) with c s ≤ Cc a are used. We have chosen to avoid that assumption, since, as it has been shown in [JJ+14 JJ+14], a large stabilisation parameter in the grad-div term may be beneficial in some cases.…”
Section: Numerical Confirmation (Part 1)mentioning
confidence: 99%
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“…Typically, this parameter is chosen to be a global constant, and recent work in [12] gives guidance on how to choose it. However, we propose to instead choose the parameter locally and will demonstrate that doing so can produce significantly more accurate solutions.…”
Section: Introductionmentioning
confidence: 99%