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• W2003136472 abstract "The paper deals with equilibrium problems (EPs) with nonlinear convex constraints. First, EP is reformulated as a global optimization problem introducing a class of gap functions, in which the feasible set of EP is replaced by a polyhedral approximation. Then, an algorithm is given for solving EP through a descent type procedure, which exploits also exact penalty functions, and its global convergence is proved. Finally, the algorithm is tested on a network oligopoly problem with nonlinear congestion constraints." @default.
• W2003136472 created "2016-06-24" @default.
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• W2003136472 date "2012-04-05" @default.
• W2003136472 modified "2023-09-26" @default.
• W2003136472 title "Gap functions and penalization for solving equilibrium problems with nonlinear constraints" @default.
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• W2003136472 doi "https://doi.org/10.1007/s10589-012-9481-z" @default.
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