On least squares solutions subject to a rank restriction
In this paper,we discuss rank-constrained least squares solutions to the matrix equation under the rank restriction in the Frobenius norm. We derive the rank range and expression of these least squares solutions by applying generalized inverses, singular value decomposition and the Eckart-Young-Mirs...
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Published in | Linear & multilinear algebra Vol. 63; no. 2; pp. 264 - 273 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
01.02.2015
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
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