A Preconditioned Gauss-Seidel Iterative Method for Linear Complementarity Problem in Intelligent Materials System

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In this paper, the authors first set up new preconditioned Gauss-Seidel iterative method for solving the linear complementarity problem, whose preconditioned matrix is introduced. Then certain elementary operations row are performed on system matrix before applying the Gauss-Seidel iterative method. Moreover the sufficient conditions for guaranteeing the convergence of the new preconditioned Gauss-Seidel iterative method are presented. Lastly we report some computational results with the proposed method.

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3-8

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September 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. Berman, R.J. Plemmons, Nonnegative Matrix in the Mathematical Sciences, Academic Press, New York, (1979).

Google Scholar

[2] R.W. Cottle, J.S. Pang, R.E. Stone, The Linear Complementarity Problem, Academic Press, San Diego, (1992).

Google Scholar

[3] Z.Z. Bai, On the monotone convergence of matrix multisplitting relaxation methods for the linear complementarity problem, IMA J. Numer. Anal. 18 (1998) 509–518.

DOI: 10.1093/imanum/18.4.509

Google Scholar

[4] J.S. Pang, Necessary and sufficient conditions for the convergence of iterative methods for the linear complementarity problem, J. Optim. Theory Appl. 42 (1984) 1–17.

DOI: 10.1007/bf00934130

Google Scholar

[5] A. Frommer , G. Mayer. Convergence of Relaxed Parallel Multisplitting Methods. Linear Algebra and Its Applications, 119: 141-152(1989).

DOI: 10.1016/0024-3795(89)90074-8

Google Scholar

[6] H.L. Shen, X.H. Shao, T. Zhang, C.J. Li. A preconditioned iterative method for H-matrices systems. Journal on Numerical Methods and Computer Applications, 30(2009)266-276.

Google Scholar

[7] A. Frommer , D.B. Szyld. H-splittings and two stage iterative methods. Numer Math, 63(1992) 345-356.

DOI: 10.1007/bf01385865

Google Scholar