The core inverse and constrained matrix approximation problem

In this article, we study the constrained matrix approximation problem in the Frobenius norm by using the core inverse:||Mx−b||F=minsubjecttox∈ℛ(M),||Mx-b|{|}_{F}=\hspace{.25em}\min \hspace{1em}\text{subject}\hspace{.25em}\text{to}\hspace{1em}x\in {\mathcal R} (M),where M∈ℂnCMM\in {{\mathbb{C}}}_{n...

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Bibliographic Details
Main Authors: Wang Hongxing, Zhang Xiaoyan
Format: Article
Language:English
Published: De Gruyter 2020-07-01
Series:Open Mathematics
Subjects:
Online Access:https://doi.org/10.1515/math-2020-0178