Abstract
In the present paper, we propose a numerical method for solving the sparse symmetric Stein equation \(AXA^T-X+BB^T=0.\) Such problems appear in control problems, filtering and image restoration. The proposed method is a Krylov subspace method based on the global Arnoldi algorithm. We apply the global Arnoldi algorithm to extract low-rank approximate solutions to Stein matrix equations. We give some theoretical results and report some numerical experiments to show the effectiveness of the proposed method.
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We would like to thank the referees for helpful remarks and useful suggestions.
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Jbilou, K., Messaoudi, A. (2011). A Computational Method for Symmetric Stein Matrix Equations. In: Van Dooren, P., Bhattacharyya, S., Chan, R., Olshevsky, V., Routray, A. (eds) Numerical Linear Algebra in Signals, Systems and Control. Lecture Notes in Electrical Engineering, vol 80. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0602-6_14
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DOI: https://doi.org/10.1007/978-94-007-0602-6_14
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