On least squares solutions subject to a rank restriction
Hongxing Wang · Linear and Multilinear Algebra · 2014
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–Mirsky theorem.