Title of article
Semiconvergence of extrapolated iterative methods for singular linear systems
Author/Authors
Song، نويسنده , , Yongzhong، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1999
Pages
13
From page
117
To page
129
Abstract
In this paper, we discuss convergence of the extrapolated iterative methods for solving singular linear systems. A general principle of extrapolation is presented. The semiconvergence of an extrapolated method induced by a regular splitting and a nonnegative splitting is proved whenever the coefficient matrix A is a singular M-matrix with ‘property c’ and an irreducible singular M-matrix, respectively. Since the (generalized, block) JOR and AOR methods are respectively the extrapolated methods of the (generalized, block) Jacobi and SOR methods, so the semiconvergence of the (generalized, block) JOR and AOR methods for solving general singular systems are proved. Furthermore, the semiconvergence of the extrapolated power method, the (block) JOR, AOR and SOR methods for solving Markov chains are discussed.
Keywords
Singular linear system , Markov chain , Extrapolated iterative method , AOR method , JOR method , Semiconvergence
Journal title
Journal of Computational and Applied Mathematics
Serial Year
1999
Journal title
Journal of Computational and Applied Mathematics
Record number
1550008
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