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Title: Penalty methods for the solution of generalized Nash equilibrium problems and hemivariational inequalities with VI constraints
Tutor: Facchinei, Francisco
Keywords: Nonlinear Optimization
Variational Inequalities
Nash Equilibrium Problems
Operations Research
Computational Game Theory
Issue Date: 11-Apr-2012
Abstract: In this thesis we propose penalty methods for the solution of Generalized Nash Equilibrium Problems (GNEPs) and we consider centralized and distributed algorithms for the solution of Hemivariational Inequalities (HVIs) where the feasible set is given by the intersection of a closed convex set with the solution set of a lower-level monotone Variational Inequality (VI).
Research interests: Operations Research, Nonlinear Optimization, Equilibrium Problems, Variational Inequalities, Nash Equilibrium Problems, Computational Game Theory

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