May 3, 2024
Saeed Karimi

Saeed Karimi

Academic Rank: Associate professor
Address:
Degree: Ph.D in Applied Mathematics
Phone: 07733447965
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title On the convergence of the Bl-LSQR algorithm for solving matrix equations
Type Article
Keywords
Journal INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
DOI
Researchers Saeed Karimi (First researcher) ,

Abstract

In this paper, a new iterative solution method is proposed for solving multiple linear systems. The proposed method is based on the global least squares (GL-LSQR) method. A linear operator is defined to connect all the linear systems together. To approximate all numerical solutions of the multiple linear systems simultaneously, the GL-LSQR method is applied for a new operator and the approximate solutions are obtained recursively. The presented method is compared with the well-known LSQR method. Finally, numerical experiments on test matrices are presented to show the efficiency of the new method.