A Modified Levenberg-Marquardt Method for Nonsmooth Equations with Finitely Many Maximum Functions

Joint Authors

Gao, Yan
Du, Shou-qiang

Source

Mathematical Problems in Engineering

Issue

Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2009-02-03

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

For solving nonsmooth systems of equations, the Levenberg-Marquardt method and its variants are of particular importance because of their locally fast convergent rates.

Finitely many maximum functions systems are very useful in the study of nonlinear complementarity problems, variational inequality problems, Karush-Kuhn-Tucker systems of nonlinear programming problems, and many problems in mechanics and engineering.

In this paper, we present a modified Levenberg-Marquardt method for nonsmooth equations with finitely many maximum functions.

Under mild assumptions, the present method is shown to be convergent Q-linearly.

Some numerical results comparing the proposed method with classical reformulations indicate that the modified Levenberg-Marquardt algorithm works quite well in practice.

American Psychological Association (APA)

Du, Shou-qiang& Gao, Yan. 2009. A Modified Levenberg-Marquardt Method for Nonsmooth Equations with Finitely Many Maximum Functions. Mathematical Problems in Engineering،Vol. 2008, no. 2008, pp.1-10.
https://search.emarefa.net/detail/BIM-510113

Modern Language Association (MLA)

Du, Shou-qiang& Gao, Yan. A Modified Levenberg-Marquardt Method for Nonsmooth Equations with Finitely Many Maximum Functions. Mathematical Problems in Engineering No. 2008 (2008), pp.1-10.
https://search.emarefa.net/detail/BIM-510113

American Medical Association (AMA)

Du, Shou-qiang& Gao, Yan. A Modified Levenberg-Marquardt Method for Nonsmooth Equations with Finitely Many Maximum Functions. Mathematical Problems in Engineering. 2009. Vol. 2008, no. 2008, pp.1-10.
https://search.emarefa.net/detail/BIM-510113

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-510113