Computational Optimization and Applications

, Volume 51, Issue 2, pp 709–728 | Cite as

Iterative methods for solving monotone equilibrium problems via dual gap functions

  • Tran Dinh QuocEmail author
  • Le Dung Muu


This paper proposes an iterative method for solving strongly monotone equilibrium problems by using gap functions combined with double projection-type mappings. Global convergence of the proposed algorithm is proved and its complexity is estimated. This algorithm is then coupled with the proximal point method to generate a new algorithm for solving monotone equilibrium problems. A class of linear equilibrium problems is investigated and numerical examples are implemented to verify our algorithms.


Gap function Double projection-type method Monotone equilibrium problem Proximal point method Global convergence Complexity 


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Hanoi University of ScienceHanoiVietnam
  2. 2.Department of Electrical Engineering (ESAT/SCD) and OPTECK.U. LeuvenLeuvenBelgium
  3. 3.Institute of MathematicsHanoiVietnam

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