On the parameter in augmented Lagrangian preconditioning for isogeometric discretizations of the Navier-Stokes equations
Applications of Mathematics, Tome 67 (2022) no. 6, pp. 751-774
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In this paper, we deal with the optimal choice of the parameter $\gamma $ for augmented Lagrangian preconditioning of GMRES method for efficient solution of linear systems obtained from discretization of the incompressible Navier-Stokes equations. We consider discretization of the equations using the B-spline based isogeometric analysis approach. We are interested in the dependence of the convergence on the parameter $\gamma $ for various problem parameters (Reynolds number, mesh refinement) and especially for various isogeometric discretizations (degree and interelement continuity of the B-spline discretization bases). The idea is to be able to determine the optimal value of $\gamma $ for a problem that is relatively cheap to compute and, based on this value, predict suitable values for other problems, e.g., with finer mesh, different discretization, etc. The influence of inner solvers (direct or iterative based on multigrid method) is also discussed.
In this paper, we deal with the optimal choice of the parameter $\gamma $ for augmented Lagrangian preconditioning of GMRES method for efficient solution of linear systems obtained from discretization of the incompressible Navier-Stokes equations. We consider discretization of the equations using the B-spline based isogeometric analysis approach. We are interested in the dependence of the convergence on the parameter $\gamma $ for various problem parameters (Reynolds number, mesh refinement) and especially for various isogeometric discretizations (degree and interelement continuity of the B-spline discretization bases). The idea is to be able to determine the optimal value of $\gamma $ for a problem that is relatively cheap to compute and, based on this value, predict suitable values for other problems, e.g., with finer mesh, different discretization, etc. The influence of inner solvers (direct or iterative based on multigrid method) is also discussed.
DOI :
10.21136/AM.2022.0130-21
Classification :
35Q30, 65F08, 65M60, 76D05
Keywords: isogeometric analysis; augmented Lagrangian preconditioner; Navier-Stokes equations
Keywords: isogeometric analysis; augmented Lagrangian preconditioner; Navier-Stokes equations
@article{10_21136_AM_2022_0130_21,
author = {Egermaier, Ji\v{r}{\'\i} and Horn{\'\i}kov\'a, Hana},
title = {On the parameter in augmented {Lagrangian} preconditioning for isogeometric discretizations of the {Navier-Stokes} equations},
journal = {Applications of Mathematics},
pages = {751--774},
year = {2022},
volume = {67},
number = {6},
doi = {10.21136/AM.2022.0130-21},
mrnumber = {4505703},
zbl = {07613022},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.21136/AM.2022.0130-21/}
}
TY - JOUR AU - Egermaier, Jiří AU - Horníková, Hana TI - On the parameter in augmented Lagrangian preconditioning for isogeometric discretizations of the Navier-Stokes equations JO - Applications of Mathematics PY - 2022 SP - 751 EP - 774 VL - 67 IS - 6 UR - http://geodesic.mathdoc.fr/articles/10.21136/AM.2022.0130-21/ DO - 10.21136/AM.2022.0130-21 LA - en ID - 10_21136_AM_2022_0130_21 ER -
%0 Journal Article %A Egermaier, Jiří %A Horníková, Hana %T On the parameter in augmented Lagrangian preconditioning for isogeometric discretizations of the Navier-Stokes equations %J Applications of Mathematics %D 2022 %P 751-774 %V 67 %N 6 %U http://geodesic.mathdoc.fr/articles/10.21136/AM.2022.0130-21/ %R 10.21136/AM.2022.0130-21 %G en %F 10_21136_AM_2022_0130_21
Egermaier, Jiří; Horníková, Hana. On the parameter in augmented Lagrangian preconditioning for isogeometric discretizations of the Navier-Stokes equations. Applications of Mathematics, Tome 67 (2022) no. 6, pp. 751-774. doi: 10.21136/AM.2022.0130-21
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