Pestana, Jennifer and Wathen, A. J. (2011) On choice of preconditioner for minimum residual methods for nonsymmetric matrices. Technical Report. SIMAX. (Submitted)
This is the latest version of this item.
Existing convergence bounds for Krylov subspace methods such as GMRES for nonsymmetric linear systems give little mathematical guidance for the choice of preconditioner. Here, we establish a desirable mathematical property of a preconditioner which indicates when convergence of a minimum residual method will essentially depend only on the eigenvalues of the preconditioned system, as is true in the symmetric case. Our theory covers the generic case of nonsymmetric coefficient matrices which are diagonalisable
over C; it does not cover matrices with nontrivial Jordan form.
|Item Type:||Technical Report (Technical Report)|
|Subjects:||H - N > Numerical analysis|
|Research Groups:||Numerical Analysis Group|
|Deposited By:||Lotti Ekert|
|Deposited On:||06 May 2011 08:23|
|Last Modified:||06 May 2011 08:23|
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- On choice of preconditioner for minimum residual methods for nonsymmetric matrices. (deposited 02 Sep 2010 10:38)
- On choice of preconditioner for minimum residual methods for nonsymmetric matrices. (deposited 06 May 2011 08:23) [Currently Displayed]
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