Original scientific paper
On the preconditioned APSS iterative method for singular coupled saddle point problems
Hamed Aslani
; Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran
Davod Khojasteh Salkuyeh
; Center of Excellence for Mathematical Modelling, Optimization and Combinational Computing (MMOCC), University of Guilan, Rasht, Iran
Abstract
Salkuyeh et al. (D.K. Salkuyeh, H. Aslani, Z.Z. Liang, An alternating positive semi-definite splitting preconditioner for the three-by-three block saddle point problems, Math. Commun. 26 (2021) 177-195) recently established an alternating positive semi-definite splitting (APSS) method for nonsymmetric block three-by-three nonsingular saddle point problems arising from the Picard iteration method for a class of mixed finite element scheme. In this work, we analyse the semi-convergence of the APSS method for solving a class of nonsymmetric block three-by-three singular saddle point problems. The APSS induced preconditioner is applied to improve the semi-convergence rate of the flexible GMRES (FGMRES) method. Numerical results are designated to support the theoretical results. These results show that the served preconditioner is efficient compared with FGMRES without a preconditioner.
Keywords
iterative methods, sparse matrices, saddle point, semi-convergence , preconditioning, Krylov methods
Hrčak ID:
315318
URI
Publication date:
19.3.2024.
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