4.7 Article

An iterative algorithm for generalized periodic multiple coupled Sylvester matrix equations

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2021.05.012

Keywords

Sylvester matrix equation; Conjugate gradient; Iterative algorithm; Least Frobenius norm solution

Funding

  1. Natural Science Foundation of Guangdong Province [2018A030313505]
  2. Programme of Science and Technology of Guangzhou [202002030448]

Ask authors/readers for more resources

This paper presents a modified conjugate gradient iterative (MCG) algorithm for solving generalized periodic multiple coupled Sylvester matrix equations, which can find the solution within finite iteration steps without round-off errors and provides a method for choosing initial matrices. Numerical examples illustrate the superior performance of the proposed method.
The paper is indicated to constructing a modified conjugate gradient iterative (MCG) algorithm to solve the generalized periodic multiple coupled Sylvester matrix equations. It can be proved that the proposed approach can find the solution within finite iteration steps in the absence of round-off errors. Furthermore, we provide a method for choosing the initial matrices to obtain the least Frobenius norm solution of the system. Some numerical examples are illustrated to show the performance of the proposed approach and its superiority over the existing method CG. (C) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available