An improved generalized conjugate residual squared algorithm suitable for distributed parallel computing-Reference-Cited by-同舟云学术

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An improved generalized conjugate residual squared algorithm suitable for distributed parallel computing

Published:2014-12 Issue: Volume:271 Page:285-294
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Zuo Xian-Yu,Zhang Li-Tao,Gu Tong-Xiang

Funder

NSFC Tianyuan Mathematics Youth Fund

NSFC

Aeronautical Science Foundation of China

School Youth Fund

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference18 articles.

1. Iterative Methods for Sparse Linear Systems;Saad,1996

2. QMR: a quasi-minimal residual method for non-Hermitian linear systems;Freund;Numer. Math.,1991

3. Bi-CGSTAB: a fast and smoothly converging variant of bi-CG for the solution of nonsymmetric linear systems;van der Vorst;SIAM J. Sci. Stat. Comput.,1992

4. Extended conjugate residual methods for solving nonsymmetric linear systems;Sogabe,2003

5. Conjugate residual squared method and its improvement for non-symmetric linear systems;Zhang;Int. J. Comput. Math.,2010

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1. Chaotic multigrid methods for the solution of elliptic equations;Computer Physics Communications;2019-04

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