Summary.
In this paper, we present a preconditioner for large systems of linear equations based on the block decomposition for block-tridiagonal matrices. This decomposition is in many respects similar to the frequency-filtering method of Wittum [18] and also to the frequency-filtering decomposition of Wagner [4]–[6]. In contrast to these methods, our approach requires no pointwise filtering conditions but, as in [1], only averaged ones; this simplifies the implementation without any loss of efficiency. Theoretical analysis of the model problem leads to the convergence rate . Numerical experiments demonstrate similar convergence behaviour for a wider class of problems.
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References
Buzdin, A.: Tangential decomposition. Computing 61, 257–276 (1998)
Hackbusch, W.: Iterative solution of large sparse systems of equations. Springer-Verlag, New York, 1993
Samarskij, A.A., Nikolaev, E.S.: Numerical methods for grid equations. Vol.2: Iterative methods. Birkhäuser, Basel, 1989
Wagner, C.: Frequenzfilternde Zerlegungen für unsymmetrische Matrizen und Matrizen mit stark variierenden Koeffizienten. ICA-Preprint 95/7, Stuttgart, 1995
Wagner, C.: Tangential frequency filtering decompositions for symmetric matrices. Numer. Math. 78, 119–142 (1997)
Wagner, C.: Frequency filtering decompositions for unsymmetric matrices. Numer. Math. 78, 143–163 (1997)
Wagner, C., Wittum, G.: Adaptive filtering. Numer. Math. 78, 305–328 (1997)
Wittum, G.: Filternde Zerlegungen – Schnelle Löser für große Gleichungssysteme. Teubner Skripten zur Numerik, Band 1, Teubner-Verlag, Stuttgart, 1992
Varga, R.: Matrix iterative analysis. Prentice-Hall, Englewood Cliffs, 1962
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Mathematics Subject Classification (2000): 65F10, 65N22
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Buzdin, A., Wittum, G. Two-frequency decomposition. Numer. Math. 97, 269–295 (2004). https://doi.org/10.1007/s00211-003-0459-8
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DOI: https://doi.org/10.1007/s00211-003-0459-8