Year: 2025
Type: article
Abstract: This work is concerned with the development of iterative methods for the solution of large multi-linear systems of equations that arise when discretizing partial differential equations as well as in other applications. Efficient iterative block methods of Jacobi, Gauss-Seidel, and SOR type that use a block partitioning of the coefficient tensor are proposed and their convergence properties are analyzed. Computed examples illustrate the usefulness of the proposed block methods.
Source: Numerical Algorithms
Institutions: University of Pisa, Fasa University, Kent State University
Language: English
Topic: Matrix Theory and Algorithms
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,290
OpenAlex ID: W4409916011