Mathematical Programming: Series A and B
An extended descent framework for variational inequalities
Journal of Optimization Theory and Applications
Unconstrained optimization reformulations of variational inequality problems
Journal of Optimization Theory and Applications
Equivalence of variational inequality problems to unconstrained minimization
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
Gap Functions for Equilibrium Problems
Journal of Global Optimization
Operations Research Letters
Gap functions and penalization for solving equilibrium problems with nonlinear constraints
Computational Optimization and Applications
Hi-index | 7.29 |
The equilibrium problem (EP) can be reformulated as an unconstrained minimization problem through the generalized D-gap function. In this paper, we propose an algorithm for minimizing the problem and analyze some convergence properties of the proposed algorithm. Under some reasonable conditions, we show that the iteration sequence generated by the algorithm is globally convergent and converges to a solution to the EP and the generalized D-gap function provides a global error bound for the algorithm.