Global least squares methods based on tensor form to solve a class of generalized Sylvester tensor equations

DOI10.1016/j.amc.2019.124892zbMath1433.65046OpenAlexW2988350657WikidataQ126788959 ScholiaQ126788959MaRDI QIDQ2287603

Chang-Feng Ma, Bao-Hua Huang

Publication date: 21 January 2020

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2019.124892

zbMATH Keywords

minimum-norm solutionLSQR methodEinstein productSylvester tensor equationsLSMR method

Mathematics Subject Classification ID

Numerical solutions to overdetermined systems, pseudoinverses (65F20) Eigenvalues, singular values, and eigenvectors (15A18) Iterative numerical methods for linear systems (65F10) Multilinear algebra, tensor calculus (15A69)

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Uses Software

• LSQR
• TensorToolbox
• LSMR
• CRAIG

Cites Work

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