On the best approximate (P,Q)-orthogonal symmetric and skew-symmetric solution of the matrix equation AXB=C

被引:4
|
作者
Sarduvan, M. [1 ]
Simsek, S. [2 ]
Ozdemir, H. [1 ]
机构
[1] Sakarya Univ, Dept Math, TR-54187 Sakarya, Turkey
[2] Kirklareli Univ, Dept Math, TR-39000 Kirklareli, Turkey
关键词
best approximate solution; Frobenius norm; matrix equations; spectral decomposition; matrix nearness problem; minimum residual problem; LEAST-SQUARES SOLUTIONS; ITERATIVE METHOD; MINIMUM-NORM; SINGULAR-VALUE; SVD; AX;
D O I
10.1515/jnma-2014-0011
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Suppose that the matrix equation AXB-C with unknown matrix X is given, where A, B, and C are known matrices of suitable size. The matrix nearness problem is considered over the (P, Q)-orthogonal symmetric and (P, Q)-orthogonal skew-symmetric solutions of the matrix equation AXB=C. The explicit forms of the best approximate solutions of the problems considered are established. Moreover, two numerical examples and a comparative table, depending on the examples chosen from literature, are given.
引用
收藏
页码:255 / 270
页数:16
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