STRONG STRONG CONVERGENCE ALGORITHMS FOR EQUILIBRIUM PROBLEMS WITHOUT MONOTONICITY

Authors

  • B. V. Dinh Department of Mathematics, Faculty of Information Technology,Le Quy Don Technical University, Hanoi, Vietnam
  • N. T. Thanh ha Department of Mathematics, Faculty of Information Technology,Le Quy Don Technical University, Hanoi, Vietnam
  • N. N. Hai Department of Scientific Fundamentals, Vietnam Trade Union University, Hanoi, Vietnam
  • T. T. H. Thanh Department of Mathematics, Faculty of Information Technology,Le Quy Don Technical University, Hanoi, Vietnam

Keywords:

Non-monotonicity, equilibria, shrinking projection methods, strong convergence, Armijo linesearch, Hilbert space

Abstract

In this paper, we introduce two new line search algorithms for solving a non-monotone equilibrium problem in a real Hilbert space. Each method can be considered as a combination of the extragradient method with line search and shrinking projection methods. Then we show that the iterative sequence generated by each method converges strongly to a solution of the considered problem. A numerical example is also provided.

Additional Files

Published

12/31/2018

Issue

Section

Research Articles