A direct method to Frobenius norm-based matrix regression

DOI10.1080/00207160.2019.1668558zbMath1484.65055OpenAlexW2973596648MaRDI QIDQ5030599

Hua Jiang, Mingzhao Li, Shi-Fang Yuan, Yi-Bin Yu

Publication date: 17 February 2022

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2019.1668558

zbMATH Keywords

least squares problemface recognitionMoore-Penrose generalized inversematrix regression

Mathematics Subject Classification ID

Numerical computation of matrix norms, conditioning, scaling (65F35) Direct numerical methods for linear systems and matrix inversion (65F05)

Cites Work

• Iterative algorithms for least-squares solutions of a quaternion matrix equation
• Generalized inverses. Theory and applications.
• Least squares Hermitian solution of the complex matrix equation \(AXB+CXD=E\) with the least norm
• Deblurring Images
• An Iterative algorithm for $\eta$-(anti)-Hermitian least-squares solutions of quaternion matrix equations
• On the iterative refinement of the solution of ill-conditioned linear system of equations
• An efficient iterative algorithm for quaternionic least-squares problems over the generalized -(anti-)bi-Hermitian matrices

This page was built for publication: A direct method to Frobenius norm-based matrix regression