Modified tangential frequency filtering decomposition and its fourier analysis

Qiang Niu*, Laura Grigori, Pawan Kumar, Frédéric Nataf

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

In this paper, a modified tangential frequency filtering decomposition (MTFFD) preconditioner is proposed. The optimal order of the modification and the optimal relaxation parameter is determined by Fourier analysis. With the choice of optimal order of modification, the Fourier results show that the condition number of the preconditioned matrix is O(h-2/3), and the spectrum distribution of the preconditioned matrix can be predicted by the Fourier results. The performance of MTFFD preconditioner is compared with tangential frequency filtering (TFFD) preconditioner on a variety of large sparse matrices arising from the discretization of PDEs with discontinuous coefficients. The numerical results show that the MTFFD preconditioner is much more efficient than the TFFD preconditioner.

Original languageEnglish
Pages (from-to)123-148
Number of pages26
JournalNumerische Mathematik
Volume116
Issue number1
DOIs
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'Modified tangential frequency filtering decomposition and its fourier analysis'. Together they form a unique fingerprint.

Cite this