Ming Wang

Peking University, Peping, Beijing, China

Are you Ming Wang?

Claim your profile

Publications (1)1.71 Total impact

  • Ming Wang, Long Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: A distributive Gauss–Seidel relaxation based on the least squares commutator is devised for the saddle-point systems arising from the discretized Stokes equations. Based on that, an efficient multigrid method is developed for finite element discretizations of the Stokes equations on both structured grids and unstructured grids. On rectangular grids, an auxiliary space multigrid method using one multigrid cycle for the Marker and Cell scheme as auxiliary space correction and least squares commutator distributive Gauss–Seidel relaxation as a smoother is shown to be very efficient and outperforms the popular block preconditioned Krylov subspace methods.
    Journal of Scientific Computing 08/2013; 56(2). · 1.71 Impact Factor

Publication Stats

1 Citation
1.71 Total Impact Points

Institutions

  • 2013
    • Peking University
      • School of Mathematical Sciences
      Peping, Beijing, China