Numerical Algorithms

, Volume 77, Issue 4, pp 983–1001 | Cite as

Convergence analysis of a new algorithm for strongly pseudomontone equilibrium problems

  • Dang Van Hieu
Original Paper


The paper introduces and analyzes the convergence of a new iterative algorithm for approximating solutions of equilibrium problems involving strongly pseudomonotone and Lipschitz-type bifunctions in Hilbert spaces. The algorithm uses a stepsize sequence which is non-increasing, diminishing, and non-summable. This leads to the main advantage of the algorithm, namely that the construction of solution approximations and the proof of its convergence are done without the prior knowledge of the modulus of strong pseudomonotonicity and Lipschitz-type constants of bifunctions. The strongly convergent theorem is established under suitable assumptions. The paper also discusses the assumptions used in the formulation of the convergent theorem. Several numerical results are reported to illustrate the behavior of the algorithm with different sequences of stepsizes and also to compare it with others.


Proximal-like method Extragradient method Equilibrium problem Strongly pseudomonotone bifunction Lipschitz-type bifunction 

Mathematics Subject Classification (2010)

65J15 47H05 47J25 47J20 91B50 


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The author would like to thank the Associate Editor and two anonymous referees for their valuable comments and suggestions which helped us very much in improving the original version of this paper. The guidance of Profs. P. K. Anh and L. D. Muu is gratefully acknowledged.


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Department of MathematicsVietnam National UniversityHanoiVietnam
  2. 2.Department of MathematicsCollege of Air ForceNhatrangVietnam

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