On a New SSOR-Like Method with Four Parameters for the Augmented Systems

Authors

  • Hui-Di Wang & Zheng-Da Huang

DOI:

https://doi.org/10.4208/eajam.190716.081116a

Keywords:

Convergence, SSOR-like method, convergence factor.

Abstract

In this paper, we propose a new SSOR-like method with four parameters to solve the augmented system. And we analyze the convergence of the method and get the optimal convergence factor under suitable conditions. It is proved that the optimal convergence factor is the same as the GMPSD method [M.A. Louka and N.M. Missirlis, A comparison of the extrapolated successive overrelaxation and the preconditioned simultaneous displacement methods for augmented systems, Numer. Math. 131(2015) 517-540] with five parameters under the same assumption.

Published

2018-03-19

Issue

Section

Articles