A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable Structure
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 effor...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2013/941861 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832560714599890944 |
---|---|
author | Feng Ma Mingfang Ni Zhanke Yu |
author_facet | Feng Ma Mingfang Ni Zhanke Yu |
author_sort | Feng Ma |
collection | DOAJ |
description | 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). |
format | Article |
id | doaj-art-13a80af5d93d482da58d44468d5c467f |
institution | Kabale University |
issn | 1085-3375 1687-0409 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Abstract and Applied Analysis |
spelling | doaj-art-13a80af5d93d482da58d44468d5c467f2025-02-03T01:26:55ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/941861941861A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable StructureFeng Ma0Mingfang Ni1Zhanke Yu2Institute of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaInstitute of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaInstitute of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaThe 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).http://dx.doi.org/10.1155/2013/941861 |
spellingShingle | Feng Ma Mingfang Ni Zhanke Yu A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable Structure Abstract and Applied Analysis |
title | A New Implementable Prediction-Correction Method for Monotone
Variational Inequalities with Separable Structure |
title_full | A New Implementable Prediction-Correction Method for Monotone
Variational Inequalities with Separable Structure |
title_fullStr | A New Implementable Prediction-Correction Method for Monotone
Variational Inequalities with Separable Structure |
title_full_unstemmed | A New Implementable Prediction-Correction Method for Monotone
Variational Inequalities with Separable Structure |
title_short | A New Implementable Prediction-Correction Method for Monotone
Variational Inequalities with Separable Structure |
title_sort | new implementable prediction correction method for monotone variational inequalities with separable structure |
url | http://dx.doi.org/10.1155/2013/941861 |
work_keys_str_mv | AT fengma anewimplementablepredictioncorrectionmethodformonotonevariationalinequalitieswithseparablestructure AT mingfangni anewimplementablepredictioncorrectionmethodformonotonevariationalinequalitieswithseparablestructure AT zhankeyu anewimplementablepredictioncorrectionmethodformonotonevariationalinequalitieswithseparablestructure AT fengma newimplementablepredictioncorrectionmethodformonotonevariationalinequalitieswithseparablestructure AT mingfangni newimplementablepredictioncorrectionmethodformonotonevariationalinequalitieswithseparablestructure AT zhankeyu newimplementablepredictioncorrectionmethodformonotonevariationalinequalitieswithseparablestructure |