## Abstract We examine the convergence characteristics of iterative methods based on a new preconditioning operator for solving the linear systems arising from discretization and linearization of the steady‐state Navier–Stokes equations. For steady‐state problems, we show that the preconditioned pr
A Relaxed Dimensional Factorization preconditioner for the incompressible Navier–Stokes equations
✍ Scribed by Michele Benzi; Michael Ng; Qiang Niu; Zhen Wang
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 488 KB
- Volume
- 230
- Category
- Article
- ISSN
- 0021-9991
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✦ Synopsis
In this paper we introduce a Relaxed Dimensional Factorization (RDF) preconditioner for saddle point problems. Properties of the preconditioned matrix are analyzed and compared with those of the closely related Dimensional Splitting (DS) preconditioner recently introduced by Benzi and Guo . Numerical results for a variety of finite element discretizations of both steady and unsteady incompressible flow problems indicate very good behavior of the RDF preconditioner with respect to both mesh size and viscosity.
📜 SIMILAR VOLUMES
## Abstract We study different variants of the augmented Lagrangian (AL)‐based block‐triangular preconditioner introduced by the first two authors in [__SIAM J. Sci. Comput.__ 2006; **28**: 2095–2113]. The preconditioners are used to accelerate the convergence of the Generalized Minimal Residual me