Content area

Abstract

Purpose

In this study, we present a novel parametric iterative method for computing the polar decomposition and determining the matrix sign function.

Design/methodology/approach

This method demonstrates exceptional efficiency, requiring only two matrix-by-matrix multiplications and one matrix inversion per iteration. Additionally, we establish that the convergence order of the proposed method is three and four, and confirm that it is asymptotically stable.

Findings

In conclusion, we extend the iterative method to solve the Yang-Baxter-like matrix equation. The efficiency indices of the proposed methods are shown to be superior compared to previous approaches.

Originality/value

The efficiency and accuracy of our proposed methods are demonstrated through various high-dimensional numerical examples, highlighting their superiority over established methods.

Details

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Title
Convergence theory of efficient parametric iterative methods for solving the Yang-Baxter-like matrix equation
Author
Erfanifar, Raziyeh 1 ; Sayevand, Khosro 2 ; Hajarian, Masoud 1   VIAFID ORCID Logo 

 Department of Mathematics, Shahid Beheshti University, Tehran, Iran 
 Malayer University, Malayer, Iran 
Publication title
Volume
42
Issue
1
Pages
255-276
Number of pages
22
Publication year
2025
Publication date
2025
Publisher
Emerald Group Publishing Limited
Place of publication
Bradford
Country of publication
United Kingdom
ISSN
02644401
e-ISSN
17587077
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-11-29
Milestone dates
2023-12-28 (Received); 2024-08-12 (Revised); 2024-10-05 (Accepted)
Publication history
 
 
   First posting date
29 Nov 2024
ProQuest document ID
3151689833
Document URL
https://www.proquest.com/scholarly-journals/convergence-theory-efficient-parametric-iterative/docview/3151689833/se-2?accountid=208611
Copyright
© Emerald Publishing Limited.
Last updated
2025-01-06
Database
ProQuest One Academic