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徐安豹, 彭振赟. 矩阵方程AX=B的范数约束最小二乘解[J]. 桂林电子科技大学学报, 2013, 33(1): 70-73.
引用本文: 徐安豹, 彭振赟. 矩阵方程AX=B的范数约束最小二乘解[J]. 桂林电子科技大学学报, 2013, 33(1): 70-73.
Xu Anbao, Peng Zhenyun. Norm-constrained least-squares solutions of the matrix equation AX=B[J]. Journal of Guilin University of Electronic Technology, 2013, 33(1): 70-73.
Citation: Xu Anbao, Peng Zhenyun. Norm-constrained least-squares solutions of the matrix equation AX=B[J]. Journal of Guilin University of Electronic Technology, 2013, 33(1): 70-73.

矩阵方程AX=B的范数约束最小二乘解

Norm-constrained least-squares solutions of the matrix equation AX=B

  • 摘要: 为了求解矩阵范数约束下矩阵方程AX=B的最小二乘解问题,提出了一种迭代算法。该算法以广义Lanczos信赖域算法为基本框架,弥补了其不能求解矩阵方程的缺陷。数值实验表明,该算法是有效的。

     

    Abstract: Aiming at the least-squares solutions of the matrix equation AX=B under the norm inequality constraint, an iterative method is proposed. This method uses the general Lanczos trust region algorithm as the frame method and remedies its defect on solving the matrix equation. Numerical experiments illustrate that the algorithm is effective.

     

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