Block triangular preconditioner for static Maxwell equations
In this paper, we explore the block triangular preconditioning techniques applied to the iterative solution of the saddle point linear systems arising from the discretized Maxwell equations. Theoretical analysis shows that all the eigenvalues of the preconditioned matrix arestrongly clustered. Numer...
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          | Published in | Computational & applied mathematics Vol. 30; no. 3; pp. 589 - 612 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            Sociedade Brasileira de Matemática Aplicada e Computacional
    
        2011
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 1807-0302 2238-3603  | 
| DOI | 10.1590/S1807-03022011000300006 | 
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| Abstract | In this paper, we explore the block triangular preconditioning techniques applied to the iterative solution of the saddle point linear systems arising from the discretized Maxwell equations. Theoretical analysis shows that all the eigenvalues of the preconditioned matrix arestrongly clustered. Numerical experiments are given to demonstrate the efficiency of the presented preconditioner. Mathematical subject classification: 65F10. | 
    
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| AbstractList | In this paper, we explore the block triangular preconditioning techniques applied to the iterative solution of the saddle point linear systems arising from the discretized Maxwell equations. Theoretical analysis shows that all the eigenvalues of the preconditioned matrix arestrongly clustered. Numerical experiments are given to demonstrate the efficiency of the presented preconditioner. Mathematical subject classification: 65F10. | 
    
| Author | Wu, Shi-Liang Li, Liang Huang, Ting-Zhu  | 
    
| AuthorAffiliation | Anyang Normal University University of Electronic Science and Technology of China  | 
    
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| Keywords | Krylov subspace method preconditioner saddle point system Maxwell equations  | 
    
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| Title | Block triangular preconditioner for static Maxwell equations | 
    
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