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Weighted versions of Gl-FOM and Gl-GMRES for solving general coupled linear matrix equations
In this paper, two algorithms called weighted Gl-FOM (WGl-FOM) and weighted Gl-GMRES (WGl-GMRES) are proposed for solving the general coupled linear matrix equations. In order to accelerate the speed of convergence, a new inner product is used. Invoking the new inner product and a new matrix product...
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Published in: | Computational mathematics and mathematical physics 2015-10, Vol.55 (10), p.1606-1618 |
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creator | Beik, Fatemeh Panjeh Ali Salkuyeh, Davod Khojasteh |
description | In this paper, two algorithms called weighted Gl-FOM (WGl-FOM) and weighted Gl-GMRES (WGl-GMRES) are proposed for solving the general coupled linear matrix equations. In order to accelerate the speed of convergence, a new inner product is used. Invoking the new inner product and a new matrix product, the weighted global Arnoldi algorithm is introduced which will be utilized for employing the WGl-FOM and WGl-GMRES algorithms to solve the linear coupled linear matrix equations. After introducing the weighted methods, some relations that link Gl-FOM (Gl-GMRES) to its weighted version are established. Numerical experiments are presented to illustrate the effectiveness of the new algorithms in comparison with Gl-FOM and Gl-GMRES algorithms for solving the linear coupled linear matrix equations. |
doi_str_mv | 10.1134/S0965542515100097 |
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subjects | Algorithms Applied mathematics Computation Computational mathematics Computational Mathematics and Numerical Analysis Control theory Convergence Iterative methods Joining Linear equations Links Mathematical analysis Mathematical models Mathematics Mathematics and Statistics Methods Studies System theory Topological manifolds |
title | Weighted versions of Gl-FOM and Gl-GMRES for solving general coupled linear matrix equations |
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