A modified dimensional split preconditioner for generalized saddle point problems

• Autores: Yang Cao, Lin-Quan Yao, Mei-Qun Jiang
• Localización: Journal of computational and applied mathematics, ISSN 0377-0427, Vol. 250, Nº 1, 2013, págs. 70-82
• Idioma: inglés
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• Resumen

  • For large and sparse saddle point linear systems arising from 2D linearized Navier�Stokes equations, Benzi and Guo recently studied a dimensional split (DS) preconditioner (Appl.

    Numer. Math. 61 (2011) 66�76). By further applying it to generalized saddle point problems, in this paper we present a modified dimensional split (MDS) preconditioner. This new preconditioner is based on a splitting of the generalized saddle point matrix, resulting in an unconditional convergent fixed-point iteration. The basic iteration is accelerated by a Krylov subspace method like restarted GMRES. The implementation of the MDS preconditioner is discussed and a similar case is also analyzed. Finally, numerical experiments of a model Navier�Stokes problem are presented to illustrate the effectiveness of the MDS preconditioner.