Year: 1999
Author: An-Ping Liao
Journal of Computational Mathematics, Vol. 17 (1999), Iss. 6 : pp. 589–594
Abstract
Least squares solution of F=PG with respect to positive semidefinite symmetric P is considered, a new necessary and sufficient condition for solvability is given, and the expression of solution is derived in the some special cases. Based on the expression, the least squares solution of an inverse eigenvalue problem for positive semidefinite symmetric matrices is also given.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/1999-JCM-9129
Journal of Computational Mathematics, Vol. 17 (1999), Iss. 6 : pp. 589–594
Published online: 1999-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 6
Keywords: Least squares solution Matrix equation Inverse eigenvalue problem Positive semidefinite symmetric matrix.