首页> 外文期刊>Applied Mathematical Modelling >The matrix iterative methods for solving a class of generalized coupled Sylvester-conjugate linear matrix equations
【24h】

The matrix iterative methods for solving a class of generalized coupled Sylvester-conjugate linear matrix equations

机译:求解一类广义耦合Sylvester-共轭线性矩阵方程的矩阵迭代方法

获取原文
获取原文并翻译 | 示例
           

摘要

The conjugate gradients-squared (CGS) method (Sonneveld, 1989) has been considered as an efficient variant of the bi-conjugate gradient (BCG) method. In Vorst (1992), a more smoothly converging variant of the BCG method which keeps the attractive convergence rate of the CGS method was investigated for the solution of certain classes of nonsymmet-ric linear systems, so-called bi-conjugate gradient stabilized (Bi-CGSTAB) method. In this paper, we will combine these interesting methods for solving the generalized coupled Sylvester-conjugate matrix equations A_1XB_1 +C_1YD_1 = E, A_2XB_2 +C_2YD_2 = F after performing suitable transformation by the properties of Kronecker product and vec operator. Some numerical experiments demonstrate that the introduced iterative methods are more efficient than the existing methods.
机译:共轭梯度平方(CGS)方法(Sonneveld,1989)被认为是双共轭梯度(BCG)方法的有效变体。在Vorst(1992)中,研究了BCG方法的更平滑收敛的变体,该变体保持了CGS方法的有吸引力的收敛速度,用于求解某些类别的非对称线性系统,即所谓的双共轭梯度稳定(Bi -CGSTAB)方法。在本文中,我们将结合这些有趣的方法,通过Kronecker乘积和vec算子的性质进行适当的转换后,求解广义耦合的Sylvester共轭矩阵方程A_1XB_1 + C_1YD_1 = E,A_2XB_2 + C_2YD_2 =F。一些数值实验表明,引入的迭代方法比现有方法更有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号