Authors: Đorđević, Bogdan 
Dinčić, Nebojša
Title: Classification and approximation of solutions to sylvester matrix equation
Journal: Filomat
Volume: 33
Issue: 13
First page: 4261
Last page: 4280
Issue Date: 1-Jan-2019
Rank: M22
ISSN: 0354-5180
DOI: 10.2298/FIL1913261D
Abstract: 
In this paper we solve Sylvester matrix equation with infinitely-many solutions and conduct their classification. If the conditions for their existence are not met, we provide a way for their approximation by least-squares minimal-norm method.
Keywords: Eigenvalues and eigenvectors | Frobenius norm | Jordan normal form | Least-squares solution | Matrix approximations | Matrix spectrum | Minimal-norm solution | Sylvester equation
Publisher: Faculty of Sciences and Mathematics, University of Niš
Project: Functional analysis, stochastic analysis and applications 

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