USSR Computational Mathematics and Mathematical Physics
Mathematical Programming: Series A and B
Shadow prices for measures of effectiveness, I: linear model
Operations Research
Shadow prices for measures of effectiveness, II: general model
Operations Research
A numerical approach to optimization problems with variational inequality constraints
Mathematical Programming: Series A and B
Some recent advances in projection-type methods for variational inequalities
Journal of Computational and Applied Mathematics - Proceedings of the international conference on recent advances in computational mathematics
Computational Optimization and Applications
Some projection methods with the BB step sizes for variational inequalities
Journal of Computational and Applied Mathematics
A globalized Newton method for the computation of normalized Nash equilibria
Journal of Global Optimization
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A generalized Nash game is an m-person noncooperative game in which each player's strategy depends on the rivals' strategies. Based on a quasi-variational inequality formulation for the generalized Nash game, we present two projection-like methods for solving the generalized Nash equilibria in this paper. It is shown that under certain assumptions, these methods are globally convergent. Preliminary computational experience is also reported.