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Volume 8, Issue 1
Local Fourier Analysis of Multigrid Methods with Polynomial Smoothers and Aggressive Coarsening

James Brannick, Xiaozhe Hu, Carmen Rodrigo & Ludmil Zikatanov

Numer. Math. Theor. Meth. Appl., 8 (2015), pp. 1-21.

Published online: 2015-08

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  • Abstract

We focus on the study of multigrid methods with aggressive coarsening and polynomial smoothers for the solution of the linear systems corresponding to finite difference/element discretizations of the Laplace equation. Using local Fourier analysis we determine automatically the optimal values for the parameters involved in defining the polynomial smoothers and achieve fast convergence of cycles with aggressive coarsening. We also present numerical tests supporting the theoretical results and the heuristic ideas. The methods we introduce are highly parallelizable and efficient multigrid algorithms on structured and semi-structured grids in two and three spatial dimensions.

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@Article{NMTMA-8-1, author = {}, title = {Local Fourier Analysis of Multigrid Methods with Polynomial Smoothers and Aggressive Coarsening}, journal = {Numerical Mathematics: Theory, Methods and Applications}, year = {2015}, volume = {8}, number = {1}, pages = {1--21}, abstract = {

We focus on the study of multigrid methods with aggressive coarsening and polynomial smoothers for the solution of the linear systems corresponding to finite difference/element discretizations of the Laplace equation. Using local Fourier analysis we determine automatically the optimal values for the parameters involved in defining the polynomial smoothers and achieve fast convergence of cycles with aggressive coarsening. We also present numerical tests supporting the theoretical results and the heuristic ideas. The methods we introduce are highly parallelizable and efficient multigrid algorithms on structured and semi-structured grids in two and three spatial dimensions.

}, issn = {2079-7338}, doi = {https://doi.org/10.4208/nmtma.2015.w01si}, url = {http://global-sci.org/intro/article_detail/nmtma/12396.html} }
TY - JOUR T1 - Local Fourier Analysis of Multigrid Methods with Polynomial Smoothers and Aggressive Coarsening JO - Numerical Mathematics: Theory, Methods and Applications VL - 1 SP - 1 EP - 21 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.4208/nmtma.2015.w01si UR - https://global-sci.org/intro/article_detail/nmtma/12396.html KW - AB -

We focus on the study of multigrid methods with aggressive coarsening and polynomial smoothers for the solution of the linear systems corresponding to finite difference/element discretizations of the Laplace equation. Using local Fourier analysis we determine automatically the optimal values for the parameters involved in defining the polynomial smoothers and achieve fast convergence of cycles with aggressive coarsening. We also present numerical tests supporting the theoretical results and the heuristic ideas. The methods we introduce are highly parallelizable and efficient multigrid algorithms on structured and semi-structured grids in two and three spatial dimensions.

James Brannick, Xiaozhe Hu, Carmen Rodrigo & Ludmil Zikatanov. (2020). Local Fourier Analysis of Multigrid Methods with Polynomial Smoothers and Aggressive Coarsening. Numerical Mathematics: Theory, Methods and Applications. 8 (1). 1-21. doi:10.4208/nmtma.2015.w01si
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