2015
DOI: 10.1016/j.cam.2014.06.001
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A relaxed deteriorated PSS preconditioner for nonsymmetric saddle point problems from the steady Navier–Stokes equation

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Cited by 81 publications
(25 citation statements)
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“…So, it seems that the GVDPSS preconditioner with proper parameters α and β is more closer to the coefficient matrix A than the VDPSS preconditioner due to the independence of the parameters and, as a result, the corresponding preconditioned matrix will have a well-clustered spectrum. It can be seen that by choosing different values for the parameters α and β, the GVDPSS preconditioner coincides with some existing preconditioners such as the RHSS preconditioner [11], the REHSS preconditioner [16], the RDPSS preconditioner [9] and the VDPSS preconditioner [18].…”
Section: Introductionmentioning
confidence: 89%
“…So, it seems that the GVDPSS preconditioner with proper parameters α and β is more closer to the coefficient matrix A than the VDPSS preconditioner due to the independence of the parameters and, as a result, the corresponding preconditioned matrix will have a well-clustered spectrum. It can be seen that by choosing different values for the parameters α and β, the GVDPSS preconditioner coincides with some existing preconditioners such as the RHSS preconditioner [11], the REHSS preconditioner [16], the RDPSS preconditioner [9] and the VDPSS preconditioner [18].…”
Section: Introductionmentioning
confidence: 89%
“…The linear independence of these eigenvectors can be derived by the method studied in Cao et al 10 [Theorem 3.2] with only technical modifications. Hence, we omit the rest of the proof here.…”
Section: Spectral Analysis Of the Impss Preconditioned Matrixmentioning
confidence: 99%
“…LetŜ 2 R m 3 m be a nonsingular matrix and a be a positive constant. Let the IMPSS preconditioner P IMPSS and the optimal IMPSS preconditioner P OIMPSS be defined as in equations (7) and (10), respectively. Then, both the degree of the minimal polynomial of the preconditioned matrix P À1…”
Section: Spectral Analysis Of the Impss Preconditioned Matrixmentioning
confidence: 99%
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“…However, it is never used without the application of appropriate preconditioning, which is chosen to enhance the convergence behavior for the iterative method. In the last years, many efficient preconditioners have been introduced, e.g., see [3][4][5][6]8,9,13,21,25].…”
Section: Introductionmentioning
confidence: 99%