On solutions of matrix equation AXB=C under semi-tensor product-Reference-Cited by-同舟云学术

On solutions of matrix equation AXB=C under semi-tensor product

Published:2019-08-12 Issue:10 Volume:69 Page:1935-1963
ISSN:0308-1087
Container-title:Linear and Multilinear Algebra
language:en
Short-container-title:Linear and Multilinear Algebra

Author:

Ji Zhen-dong¹,Li Jiao-fen¹²,Zhou Xue-lin¹,Duan Fu-jian¹,Li Tao³

Affiliation:

1. School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, People's Republic of China

2. School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, People's Republic of China

3. College of Sciences, Shanghai University, Shanghai, People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

Informa UK Limited

Subject

Algebra and Number Theory

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081087.2019.1650881

Reference17 articles.

1. Common solutions to a pair of linear matrix equations A1XB1 = C1 and A2XB2 = C2

2. Hermitian and Nonnegative Definite Solutions of Linear Matrix Equations

3. An iteration method for the symmetric solutions and the optimal approximation solution of the matrix equation AXB=C

4. An iterative method for the least squares symmetric solution of the linear matrix equation AXB=C

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1. Least squares solutions of matrix equation $ AXB = C $ under semi-tensor product;Electronic Research Archive;2024

2. Riccati equation and metric geometric means of positive semidefinite matrices involving semi-tensor products;AIMS Mathematics;2023

3. Metric geometric means with arbitrary weights of positive definite matrices involving semi-tensor products;AIMS Mathematics;2023

4. Solving the Sylvester-Transpose Matrix Equation under the Semi-Tensor Product;Symmetry;2022-05-26

5. Solvability of the Sylvester equation $ AX-XB = C $ under left semi-tensor product;Mathematical Modelling and Control;2022