2010
DOI: 10.1002/fld.2495
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ℋ︁‐LU factorization in preconditioners for augmented Lagrangian and grad‐div stabilized saddle point systems

Abstract: SUMMARYThe (mixed finite element) discretization of the linearized Navier-Stokes equations leads to a linear system of equations of saddle point type. The iterative solution of this linear system requires the construction of suitable preconditioners, especially in the case of high Reynolds numbers. In the past, a stabilizing approach has been suggested which does not change the exact solution but influences the accuracy of the discrete solution as well as the effectiveness of iterative solvers. This stabilizat… Show more

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Cited by 35 publications
(30 citation statements)
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“…For the ideal and modified AL preconditioners, the number of linear iterations are close to each other in this report and [7,14] when the same settings are used, such as the same stopping tolerance, the same mesh and the same inner solver for the subsystems. For the ideal and modified 'grad-div' preconditioner, we compare our results with [9,15]. The same settings also result in a comparable result, in terms of the number of linear iterations.…”
Section: Lid Driven Cavity (Ldc)mentioning
confidence: 86%
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“…For the ideal and modified AL preconditioners, the number of linear iterations are close to each other in this report and [7,14] when the same settings are used, such as the same stopping tolerance, the same mesh and the same inner solver for the subsystems. For the ideal and modified 'grad-div' preconditioner, we compare our results with [9,15]. The same settings also result in a comparable result, in terms of the number of linear iterations.…”
Section: Lid Driven Cavity (Ldc)mentioning
confidence: 86%
“…There are many references testing the three preconditioners and their variants on the LDC problem, c.f. [7,14,9,15,16]. It is not easy to compare the results given in this report and other references, since different settings are used in different papers.…”
Section: Lid Driven Cavity (Ldc)mentioning
confidence: 99%
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