Content area

Abstract

Based on the Hermitian and skew Hermitian splitting of the coefficient matrices, we demonstrate a shift-splitting hierarchical identification (SSHI) iterative algorithm to solve the matrix equation AXXB=C. For any initial value, the suggested method converges to the exact solution under certain conditions. Three numerical examples are presented to demonstrate the effectiveness of the shift-splitting hierarchical identification (SSHI) iterative method and to compare it to the Jacobi-gradient iterative algorithm (JGI) (Bayoumi in Appl. Math. Inf. Sci. (2021)) and the gradient iterative algorithm (GI).

Details

1009240
Title
A shift-splitting hierarchical identification iterative algorithm for solving the matrix equation AX−X‾B=C
Publication title
Volume
2025
Issue
1
Pages
97
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
New York
Country of publication
Netherlands
Publication subject
ISSN
16871839
e-ISSN
16871847
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-05-14
Milestone dates
2024-10-17 (Registration); 2023-10-01 (Received); 2024-10-17 (Accepted)
Publication history
 
 
   First posting date
14 May 2025
ProQuest document ID
3204119744
Document URL
https://www.proquest.com/scholarly-journals/shift-splitting-hierarchical-identification/docview/3204119744/se-2?accountid=208611
Copyright
Copyright Springer Nature B.V. Dec 2025
Last updated
2025-05-19
Database
ProQuest One Academic