Modified tangential frequency filtering decomposition and its fourier analysis

  • Authors:
  • Qiang Niu;Laura Grigori;Pawan Kumar;Frédéric Nataf

  • Affiliations:
  • Xi’an Jiaotong-Liverpool University, Mathematics and Physics Teaching Centre, 215123, Suzhou, People’s Republic of China;INRIA Saclay-Ile de France, Bat 490, Universite Paris-Sud 11, 91405, Orsay, France;INRIA Saclay-Ile de France, Bat 490, Universite Paris-Sud 11, 91405, Orsay, France;Universite Paris 6, Laboratoire J.L. Lions, CNRS UMR7598, Paris, France

  • Venue:
  • Numerische Mathematik
  • Year:
  • 2010

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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 $${{\mathcal O}(h^{-\frac{2}{3}})}$$, 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.