Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Mathematical Programming: Series A and B
USSR Computational Mathematics and Mathematical Physics
A class of iterative methods for solving nonlinear projection equations
Journal of Optimization Theory and Applications
A class of combined iterative methods for solving variational inequalities
Journal of Optimization Theory and Applications
Improvements of some projection methods for monotone nonlinear variational inequalities
Journal of Optimization Theory and Applications
Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities
Computational Optimization and Applications
A non-interior-point smoothing method for variational inequality problem
Journal of Computational and Applied Mathematics
Supply chain network equilibrium with profit sharing contract responding to emergencies
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Supply chain network equilibrium with revenue sharing contract under demand disruptions
International Journal of Automation and Computing
| Hi-index | 7.29 |
In this paper, we present a two-stage prediction-correction method for solving monotone variational inequalities. The method generates the two predictors which should satisfy two acceptance criteria. We also enhance the method with an adaptive rule to update prediction step size which makes the method more effective. Under mild assumptions, we prove the convergence of the proposed method. Our proposed method based on projection only needs the function values, so it is practical and the computation load is quite tiny. Some numerical experiments were carried out to validate its efficiency and practicality.