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Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities

  • Bingsheng He
  • , Xiaomino Yuan
  • , Jason J.Z. Zhang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

In this paper, we study the relationship between the forward-backward splitting method and the extra-gradient method for monotone variational inequalities. Both of the methods can be viewed as prediction-correction methods. The only difference is that they use different search directions in the correction-step. Our analysis explains theoretically why the extra-gradient methods usually outperform the forward-backward splitting methods. We suggest some modifications for the two methods and numerical results are given to verify the Superiority of the modified methods.
© 2004 Kluwer Academic Publishers
Original languageEnglish
Pages (from-to)247-267
JournalComputational Optimization and Applications
Volume27
Issue number3
DOIs
Publication statusPublished - Mar 2004

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

B.S. He was supported by the NSFC grant 10271054 and Jiangsu NSF grant BK2002075. The research of J.J.Z. Zhang is partially supported by City U Strategic Research Grant No. 7001258.

Research Keywords

  • Extra-gradient methods
  • Forward-backward splitting methods
  • Monotone variational inequalities
  • Prediction-correction methods

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