Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9662338 | Computers & Mathematics with Applications | 2005 | 11 Pages |
Abstract
Based on the projection theorem in Hilbert space, by making use of the generalized singular value decomposition and the canonical correlation decomposition, an analytical expression of the least-squares solution for the matrix equation (AXB, GXH) = (C, D) with the minimum-norm is derived. An algorithm for finding the minimum-norm solution is described and some numerical results have been given.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
An-Ping Liao, Yuan Lei,