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A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable Structure
Joint Authors
Yu, Zhanke
Ma, Feng
Ni, Mingfang
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The monotone variational inequalities capture various concrete applications arising in many areas.
In this paper, we develop a new prediction-correction method for monotone variational inequalities with separable structure.
The new method can be easily implementable, and the main computational effort in each iteration of the method is to evaluate the proximal mappings of the involved operators.
At each iteration, the algorithm also allows the involved subvariational inequalities to be solved in parallel.
We establish the global convergence of the proposed method.
Preliminary numerical results show that the new method can be competitive with Chen's proximal-based decomposition method in Chen and Teboulle (1994).
American Psychological Association (APA)
Ma, Feng& Ni, Mingfang& Yu, Zhanke. 2013. A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable Structure. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-510053
Modern Language Association (MLA)
Ma, Feng…[et al.]. A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable Structure. Abstract and Applied Analysis No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-510053
American Medical Association (AMA)
Ma, Feng& Ni, Mingfang& Yu, Zhanke. A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable Structure. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-510053
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510053