A note on the iterative solutions of general coupled matrix equation

作者:

Highlights:

摘要

Recently, Ding and Chen [F. Ding, T. Chen, On iterative solutions of general coupled matrix equations, SIAM J. Control Optim. 44 (2006) 2269–2284] developed a gradient-based iterative method for solving a class of coupled Sylvester matrix equations. The basic idea is to regard the unknown matrices to be solved as parameters of a system to be identified, so that the iterative solutions are obtained by applying hierarchical identification principle. In this note, by considering the coupled Sylvester matrix equation as a linear operator equation we give a natural way to derive this algorithm. We also propose some faster algorithms and present some numerical results.

论文关键词:Matrix equations,Gradient search principle,Krylov subspace,Iterative,Convergence

论文评审过程:Available online 5 May 2011.

论文官网地址:https://doi.org/10.1016/j.amc.2011.04.026