A note on weighted FOM and GMRES for solving nonsymmetric linear systems (Q1827017)

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scientific article; zbMATH DE number 2082085
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A note on weighted FOM and GMRES for solving nonsymmetric linear systems
scientific article; zbMATH DE number 2082085

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    A note on weighted FOM and GMRES for solving nonsymmetric linear systems (English)
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    6 August 2004
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    Recently \textit{A. Essai} [Numer. Algorithms 18, 277--292 (1998; Zbl 0926.65036)] presented two new methods called weighted full orthogonal method (WFOM) and weighted generalized minimal residual (WGMRES) method for solving nonsymmetric linear systems. In this note the authors first point out a scaling invariant property of these methods, then they discuss the performance of the preconditioned weighted FOM and GMRES. Experimental results are presented to show that, in contrast to WFOM and WGMRES, the preconditioned weighed FOM and GMRES have not so good performance compared to preconditioned FOM(m) and preconditioned GMRES(m).
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    nonsymmetric linear systems
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    sparse matrix
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    iterative methods
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    preconditioning
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    Krylov subspaces
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    Arnoldi method
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    FOM
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    GMRES
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    numerical examples
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    full orthogonal method
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    weighted generalized minimal residual method
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