Modified Preconditioned GAOR Methods for Systems of Linear Equations
Joint Authors
Cui, Qun-Fa
Zhang, Xue-Feng
Wu, Shi-Liang
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Three kinds of preconditioners are proposed to accelerate the generalized AOR (GAOR) method for the linear system from the generalized least squares problem.
The convergence and comparison results are obtained.
The comparison results show that the convergence rate of the preconditioned generalized AOR (PGAOR) methods is better than that of the original GAOR methods.
Finally, some numerical results are reported to confirm the validity of the proposed methods.
American Psychological Association (APA)
Zhang, Xue-Feng& Cui, Qun-Fa& Wu, Shi-Liang. 2013. Modified Preconditioned GAOR Methods for Systems of Linear Equations. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-503273
Modern Language Association (MLA)
Zhang, Xue-Feng…[et al.]. Modified Preconditioned GAOR Methods for Systems of Linear Equations. Journal of Applied Mathematics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-503273
American Medical Association (AMA)
Zhang, Xue-Feng& Cui, Qun-Fa& Wu, Shi-Liang. Modified Preconditioned GAOR Methods for Systems of Linear Equations. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-503273
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-503273