Title of article
Least-squares solution with the minimum-norm for the matrix equation (AXB, GXH) = (C, D)
Author/Authors
An-Ping Liao، نويسنده , , Yuan Lei، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2005
Pages
11
From page
539
To page
549
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
Matrix equation , Minimum-norm solution , Canonical correlation decomposition , Generalized singular value decomposition , Least-squares solution
Journal title
Computers and Mathematics with Applications
Serial Year
2005
Journal title
Computers and Mathematics with Applications
Record number
920318
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