A Smoothing Inexact Newton Method for Nonlinear Complementarity Problems
Joint Authors
Wan, Zhong
Li, HuanHuan
Huang, Shuai
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-15
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A smoothing inexact Newton method is presented for solving nonlinear complementarity problems.
Different from the existing exact methods, the associated subproblems are not necessary to be exactly solved to obtain the search directions.
Under suitable assumptions, global convergence and superlinear convergence are established for the developed inexact algorithm, which are extensions of the exact case.
On the one hand, results of numerical experiments indicate that our algorithm is effective for the benchmark test problems available in the literature.
On the other hand, suitable choice of inexact parameters can improve the numerical performance of the developed algorithm.
American Psychological Association (APA)
Wan, Zhong& Li, HuanHuan& Huang, Shuai. 2015. A Smoothing Inexact Newton Method for Nonlinear Complementarity Problems. Abstract and Applied Analysis،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052101
Modern Language Association (MLA)
Wan, Zhong…[et al.]. A Smoothing Inexact Newton Method for Nonlinear Complementarity Problems. Abstract and Applied Analysis No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1052101
American Medical Association (AMA)
Wan, Zhong& Li, HuanHuan& Huang, Shuai. A Smoothing Inexact Newton Method for Nonlinear Complementarity Problems. Abstract and Applied Analysis. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052101
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052101