| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4630493 | Applied Mathematics and Computation | 2012 | 10 Pages |
Abstract
The least squares solutions with the minimum norm of the matrix equations AX=B,XA=B and AXB=DAXB=D are considered in this paper. We use the determinantal representations of the Moore–Penrose inverse obtained earlier by the author and get analogs of the Cramer rule for the minimum norm least squares solutions of these matrix equations.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ivan Kyrchei,