Purely algebraic domain decomposition methods for the incompressible Navier-Stokes equations

Mathematics – Numerical Analysis

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Introduction rewritten, Comparison with state-of-art methods added, figure on overlapping case added, Complete algorithms adde

Scientific paper

In the context of non overlapping domain decomposition methods, several algebraic approximations of the Dirichlet-to-Neumann (DtN) map are proposed in [F. X. Roux, et. al. Algebraic approximation of Dirichlet- to-Neumann maps for the equations of linear elasticity, Comput. Methods Appl. Mech. Engrg., 195, 2006, 3742-3759]. For the case of non overlapping domains, approximation to the DtN are analogous to the approximation of the Schur complements in the incomplete multilevel block factorization. In this work, several original and purely algebraic (based on graph of the matrix) domain decomposition techniques are investigated for steady state incompressible Navier-Stokes equation defined on uniform and stretched grid for low viscosity. Moreover, the methods proposed are highly parallel during both setup and application phase. Spectral and numerical analysis of the methods are also presented.

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

Purely algebraic domain decomposition methods for the incompressible Navier-Stokes 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 Purely algebraic domain decomposition methods for the incompressible Navier-Stokes equations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Purely algebraic domain decomposition methods for the incompressible Navier-Stokes equations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-71117

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