Preconditioned HSS Method for Finite Element Approximations of Convection-Diffusion Equations

Mathematics – Numerical Analysis

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

22 pages

Scientific paper

A two-step preconditioned iterative method based on the Hermitian/Skew-Hermitian splitting is applied to the solution of nonsymmetric linear systems arising from the Finite Element approximation of convection-diffusion equations. The theoretical spectral analysis focuses on the case of matrix sequences related to FE approximations on uniform structured meshes, by referring to spectral tools derived from Toeplitz theory. In such a setting, if the problem is coercive, and the diffusive and convective coefficients are regular enough, then the proposed preconditioned matrix sequence shows a strong clustering at unity, i.e., a superlinear preconditioning sequence is obtained. Under the same assumptions, the optimality of the PHSS method is proved and some numerical experiments confirm the theoretical results. Tests on unstructured meshes are also presented, showing the some convergence behavior.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Preconditioned HSS Method for Finite Element Approximations of Convection-Diffusion Equations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Preconditioned HSS Method for Finite Element Approximations of Convection-Diffusion Equations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Preconditioned HSS Method for Finite Element Approximations of Convection-Diffusion Equations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-436315

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.