Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1681
Title: Preconditioned SOR iterative methods for L-matrices
Authors: Ndanusa, Abdulrahman
Adeboye, Kayode Rufus
Keywords: Spectral radius, Preconditioner, Iterative matrix, Linear system, L−matrix
Issue Date: 2012
Publisher: American Journal of Computational and Applied Mathematics
Citation: A. Ndanusa and K R Adeboye (2012). Preconditioned SOR iterative methods for L-matrices. American Journal of Computational and Applied Mathematics, 2(6), 300-305.
Abstract: A preconditioner of the type 𝐼+𝑆 for speeding up convergence of the successive overrelaxation (SOR) iterative method for solving linear system 𝐴x=𝑏 is proposed. Two forms of the preconditioned SOR iteration are obtained and implemented, under limited conditions imposed on the coefficient matrix of the original linear system. Convergence properties are analyzed and established in conformity with standard procedures. The rates of convergence of the preconditioned iterations are shown to supersede that of the SOR method. Numerical experiments confirmed the established theoretical results.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1681
Appears in Collections:Mathematics

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