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Spectral properties of primal-based penalty preconditioners for saddle point problems

Journal of Computational and Applied Mathematics(2010)

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Abstract
For large and sparse saddle point linear systems, this paper gives further spectral properties of the primal-based penalty preconditioners introduced in [C.R. Dohrmann, R.B. Lehoucq, A primal-based penalty preconditioner for elliptic saddle point systems, SIAM J. Numer. Anal. 44 (2006) 270–282]. The regions containing the real and non-real eigenvalues of the preconditioned matrix are obtained. The model of the Stokes problem is supplemented to illustrate the theoretical results and to test the quality of the primal-based penalty preconditioner.
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Key words
Saddle point problem,Block preconditioner,Eigenvalue,Krylov subspace method
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