Levenberg-Marquardt Method for the Eigenvalue Complementarity Problem

Joint Authors

Chen, Yuan-yuan
Gao, Yan

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-10-30

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

The eigenvalue complementarity problem (EiCP) is a kind of very useful model, which is widely used in the study of many problems in mechanics, engineering, and economics.

The EiCP was shown to be equivalent to a special nonlinear complementarity problem or a mathematical programming problem with complementarity constraints.

The existing methods for solving the EiCP are all nonsmooth methods, including nonsmooth or semismooth Newton type methods.

In this paper, we reformulate the EiCP as a system of continuously differentiable equations and give the Levenberg-Marquardt method to solve them.

Under mild assumptions, the method is proved globally convergent.

Finally, some numerical results and the extensions of the method are also given.

The numerical experiments highlight the efficiency of the method.

American Psychological Association (APA)

Chen, Yuan-yuan& Gao, Yan. 2014. Levenberg-Marquardt Method for the Eigenvalue Complementarity Problem. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049160

Modern Language Association (MLA)

Chen, Yuan-yuan& Gao, Yan. Levenberg-Marquardt Method for the Eigenvalue Complementarity Problem. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1049160

American Medical Association (AMA)

Chen, Yuan-yuan& Gao, Yan. Levenberg-Marquardt Method for the Eigenvalue Complementarity Problem. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049160

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1049160