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 Extended conjugate gradient squared and conjugate residual squared methods for solving the generalized coupled Sylvester tensor equations
Type Article
Keywords
Journal TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
DOI
Researchers Saeed Karimi (Second researcher)

Abstract

In this paper, two attractive iterative methods – conjugate gradient squared (CGS) and conjugate residual squared (CRS) – are extended to solve the generalized coupled Sylvester tensor equations Pn j=1 Xj 31Aij1 32Aij2:::3dAijd =Ci, i=1, 2, :::, n. The proposed methods use tensor computations with no matricizations involved. Also, some properties of the new methods are presented. Finally, several numerical examples are given to compare the efficiency and performance of the proposed methods with some existing algorithms.