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

Mathematics

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