
doi: 10.1002/asjc.1574
AbstractIn this paper, we present a modified gradient‐based algorithm for solving extended Sylvester‐conjugate matrix equations. The idea is from the gradient‐based method introduced in [14] and the relaxed gradient‐based algorithm proposed in [16]. The convergence analysis of the algorithm is investigated. We show that the iterative solution converges to the exact solution for any initial value based on some appropriate assumptions. A numerical example is given to illustrate the effectiveness of the proposed method and to test its efficiency and accuracy compared with those presented in [14] and [16].
Linear systems in control theory, gradient-based algorithm, relaxation parameters, extended Sylvester, Computational methods in systems theory, modified gradient
Linear systems in control theory, gradient-based algorithm, relaxation parameters, extended Sylvester, Computational methods in systems theory, modified gradient
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