November 22, 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 Tensor splitting preconditioners for multilinear systems
Type Article
Keywords
Multilinear system, M-tensor, tensor splitting, preconditioned methods
Journal Journal of Mathematical Modeling
DOI 10.22124/JMM.2024.23603.2104
Researchers Saeed Karimi (First researcher) ,

Abstract

In this paper, we propose some new preconditioners for solving multilinear system. These preconditioners are based on tensor splitting. We also present some theorems for analyzing and convergence of the preconditioned Jacobi-, Gauss-Seidel-, and SOR-type iterative methods. Numerical examples are presented to verify the efficiency of the proposed preconditioned methods.