@Article{NM-16-164,
author = {D. K. Salkuyeh},
title = {Generalized Jacobi and Gauss-Seidel Methods for Solving Linear System of Equations},
journal = {Numerical Mathematics, a Journal of Chinese Universities},
year = {2007},
volume = {16},
number = {2},
pages = {164--170},
abstract = {
The Jacobi and Gauss-Seidel algorithms are among the stationary
iterative methods for solving linear system of equations. They are
now mostly used as preconditioners for the popular iterative
solvers. In this paper a generalization of these methods are
proposed and their convergence properties are studied. Some
numerical experiments are given to show the efficiency of the new
methods.},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/nm/10074.html}
}