TY - JOUR
T1 - Generalized Jacobi and Gauss-Seidel Methods for Solving Linear System of Equations
AU - D. K. Salkuyeh
JO - Numerical Mathematics, a Journal of Chinese Universities
VL - 2
SP - 164
EP - 170
PY - 2007
DA - 2007/05
SN - 16
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/nm/10074.html
KW - 
AB - 
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.