2024 : 12 : 19

Khosro Sayevand

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Mathematical Sciences and Statistics
Address: Malayer University
Phone: 081-33398981

Research

Title
Convergence theory of efficient parametric iterative methods for solving the Yang-Baxter-like matrix equation
Type
JournalPaper
Keywords
Iterative method, Polar decomposition, Matrix sign function, Polar factor, Order of convergence, Yang-Baxter-like equation
Year
2024
Journal engineering computations
DOI
Researchers Razeyeh Erfanifar ، Khosro Sayevand ، Masoud Hajariyan

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 matrixby- 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.