𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On the Schur component preconditioners

✍ Scribed by B. Kiss; A. Krebsz


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
163 KB
Volume
73
Category
Article
ISSN
0045-7949

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Study on the preconditioners
✍ M. Morimoto πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 377 KB

## Kotakemori et al. (2002) [2] have reported that the convergence rate of the iterative method with a preconditioner P m = (I + S max ) was superior to one of the modified Gauss-Seidel methods under a special condition. The authors derived a theorem comparing the Gauss-Seidel method. To remove th

Two-level preconditioner via a rigid bod
✍ Jin Hwan Ko; Jaesung Eom πŸ“‚ Article πŸ“… 2010 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 158 KB πŸ‘ 1 views

## Abstract Most aggregation multigrid (MG) methods employ rigid body modes in constructing the prolongators and are famous for fast convergence with good efficiency. However, it is nontrivial to extend these methods to the Schur complement (SC) system, which is a partitioned and condensed system,

A note on the preconditioner
✍ Toshiyuki Kohno; Hiroshi Niki πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 334 KB

have reported that the convergence rate of the iterative method with a preconditioner P m = (I + S m ) was superior to one of the modified Gauss-Seidel method under the condition. These authors derived a theorem comparing the Gauss-Seidel method with the proposed method. However, through application

Eigenvalue bounds for the Schur compleme
✍ Paul Deuring πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 931 KB

If the stationary Navier-Stokes system or an implicit time discretization of the evolutionary Navier-Stokes system is linearized by a Picard iteration and discretized in space by a mixed finite element method, there arises a saddle point system which may be solved by a Krylov subspace method or an U

Remarks on the Schur complement
✍ Miroslav Fiedler πŸ“‚ Article πŸ“… 1981 πŸ› Elsevier Science 🌐 English βš– 287 KB