Journal of Computational and Applied Mathematics2022,Vol.40426.DOI:10.1016/j.cam.2021.113898

A new approximation algorithm for solving generalized Lyapunov matrix equations

Shirilord, Akbar Dehghan, Mehdi
Journal of Computational and Applied Mathematics2022,Vol.40426.DOI:10.1016/j.cam.2021.113898

A new approximation algorithm for solving generalized Lyapunov matrix equations

Shirilord, Akbar 1Dehghan, Mehdi1
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作者信息

  • 1. Amirkabir Univ Technol
  • 折叠

Abstract

In this paper, we propose a new approximation algorithm for solving generalized Lyapunov matrix equations. We also present a convergence analysis for this algorithm. In each step of this algorithm two standard Lyapunov matrix equations with real coefficient matrices should be solved. Then we determine the optimal parameter to minimize the corresponding spectral radius of iteration matrix to obtain fastest speed of convergence. Finally some numerical examples are given to prove the capability of the present algorithm and a comparison is made with the existing results. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Optimal parameter/Complex matrices/Generalized Lyapunov matrix equation/Spectral radius/Convergence/ITERATIVE ALGORITHM/SYSTEM/REDUCTION/LSQR

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量7
参考文献量57
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