The parameterized preconditioner for the generalized saddle point problems from the incompressible Navier–Stokes equations
Journal Article
·
· Computational and Applied Mathematics
- Fujian Normal University, College of Mathematics and Informatics and FJKLMAA (China)
A parameterized preconditioner is proposed for the generalized saddle point problems arising from the incompressible Navier–Stokes equations. The eigenvalues and eigenvectors of the preconditioned matrix are analyzed. Numerical results show that the proposed preconditioner is efficient to accelerate the convergence rate of Krylov subspace methods, such as GMRES method.
- OSTI ID:
- 22769274
- Journal Information:
- Computational and Applied Mathematics, Journal Name: Computational and Applied Mathematics Journal Issue: 3 Vol. 37; ISSN 0101-8205
- Country of Publication:
- United States
- Language:
- English
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