EconPapers    
Economics at your fingertips  
 

A modified CG algorithm for solving generalized coupled Sylvester tensor equations

Changqing Lv and Changfeng Ma

Applied Mathematics and Computation, 2020, vol. 365, issue C

Abstract: In this paper, a modified conjugate gradient (MCG) algorithm is proposed for solving generalized coupled Sylverster tensor equations. If the tensor equations are consistent, we show the solution can be obtained within finite steps in the absence of roundoff errors for any initial value. At last, some numerical examples are provided to illustrate the efficiency and validity of the proposed algorithm.

Keywords: Coupled Sylvester tensor equation; Modified CG method; Kronecker (mode) product; Convergence analysis (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300319306915
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:365:y:2020:i:c:s0096300319306915

DOI: 10.1016/j.amc.2019.124699

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:365:y:2020:i:c:s0096300319306915