A Review on Solving Sylvester-Type Equations

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Authors: Qing-Wen Wang, Jiale Gao
Cited by: 1
References: 251

Abstract

The solution theory of Sylvester-type equations finds wide applications in control theory, robotics, and image processing. This paper systematically surveys, classifies and summarizes the existing research results of three classes of Sylvester-type equations: matrix equations, tensor equations, and operator equations. It extracts nine mainstream research methods and clarifies the internal correlations among these methods, as well as their applicable equation types. Combined with four prior review articles focusing on special cases of Sylvester-type equations, this work establishes a comprehensive framework for solving such equations. It not only provides a systematic theoretical foundation and a clear research thread for subsequent researchers but also offers valuable methodological insights for further investigations in related fields.

Fields of Study & Subjects

Model Reduction and Neural Networks Tensor decomposition and applications Matrix Theory and Algorithms

Publication details

Journal / source
Symmetry
Publisher
MDPI AG
Volume
18
Issue
6
Pages
984–984
Publication date
6 June 2026
Language
EN