| Autor: |
Chen, L, Wu, Y, Zhong, L, Zhou, J |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Chen, L; Wu, Y; Zhong, L; & Zhou, J. (2018). MultiGrid Preconditioners for Mixed Finite Element Methods of the Vector Laplacian. JOURNAL OF SCIENTIFIC COMPUTING, 77(1), 101-128. doi: 10.1007/s10915-018-0697-7. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/4jv6n4rk |
| DOI: |
10.1007/s10915-018-0697-7. |
| Popis: |
Due to the indefiniteness and poor spectral properties, the discretized linear algebraic system of the vector Laplacian by mixed finite element methods is hard to solve. A block diagonal preconditioner has been developed and shown to be an effective preconditioner by Arnold, Falk, and Winther [Acta Numerica, 15:1--155, 2006]. The purpose of this paper is to propose alternative and effective block diagonal and block triangular preconditioners for solving this saddle point system. A variable V-cycle multigrid method with the standard point-wise Gauss-Seidel smoother is proved to be a good preconditioner for a discrete vector Laplacian operator. This multigrid solver will be further used to build preconditioners for the saddle point systems of the vector Laplacian and the Maxwell equations with divergent free constraint. The major benefit of our approach is that the point-wise Gauss-Seidel smoother is more algebraic and can be easily implemented as a black-box smoother. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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