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Tensor splitting preconditioners for multilinear systems | ||
Journal of Mathematical Modeling | ||
مقاله 7، دوره 12، شماره 3، آذر 2024، صفحه 481-499 اصل مقاله (232.97 K) | ||
نوع مقاله: Research Article | ||
شناسه دیجیتال (DOI): 10.22124/jmm.2024.23603.2104 | ||
نویسندگان | ||
Saeed Karimi* ؛ Eisa Khosravi Dehdezi | ||
Mathematics Department, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran | ||
چکیده | ||
In this paper, we propose some new preconditioners for solving multilinear system $\mathcal{A}\mathbf{x}^{m-1}=\mathbf{b}$. 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. | ||
کلیدواژهها | ||
Multilinear system؛ $\mathcal{M}$-tensor؛ tensor splitting؛ preconditioned methods | ||
آمار تعداد مشاهده مقاله: 132 تعداد دریافت فایل اصل مقاله: 156 |