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 Global conjugate gradient method for solving large general Sylvester matrix equation
Type Article
Keywords
Journal Journal of Mathematical Modeling
DOI
Researchers Saeed Karimi (First researcher)

Abstract

In this paper, an iterative method is proposed for solving large general Sylvester matrix equation AXB CXD = E, where A ? Rn×n, C ? Rn×n, B ? Rs×s and D ? Rs×s are given matrices and X ? Rn×s is the unknown matrix. We present a global conjugate gradient (GL-CG) algorithm for solving linear system of equations with multiple right-hand sides. By defining a linear matrix operator and imposing some conditions on this operator, we demonstrate how to employ the GL-CG algorithm for solving large general Sylvester matrix equation. Finally, some numerical experiments are given to illustrate the efficiency of the method.