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Some relaxed iteration methods for solving matrix equation AXB = C

机译:用于求解矩阵方程AXB = C的一些轻松的迭代方法

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In this paper, based on the iteration frameworks [6], several relaxed iteration methods are proposed for solving the matrix equation AXB = C by introducing a tunable parameter., and their convergence properties are analyzed in detail. Moreover, the optimal choices of the parameter.to achieve the fastest convergence rate are also obtained for some special cases. Finally, numerical experiments are carried out to illustrate the effectiveness of the proposed algorithms. (C) 2021 Elsevier Inc. All rights reserved.
机译:本文在迭代框架[6]的基础上,通过引入可调参数,提出了求解矩阵方程AXB=C的几种松弛迭代方法。,并详细分析了它们的收敛性。此外,还讨论了参数的最佳选择。对于某些特殊情况,也得到了最快的收敛速度。最后,通过数值实验验证了算法的有效性。(c)2021爱思唯尔公司保留所有权利。

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