Article ID: | iaor20163601 |
Volume: | 65 |
Issue: | 2 |
Start Page Number: | 431 |
End Page Number: | 448 |
Publication Date: | Nov 2016 |
Journal: | Computational Optimization and Applications |
Authors: | Dreves Axel |
Keywords: | game theory, heuristics |
We exploit a recently proposed local error bound condition for a nonsmooth reformulation of the Karush–Kuhn–Tucker conditions of generalized Nash equilibrium problems (GNEPs) to weaken the theoretical convergence assumptions of a hybrid method for GNEPs that uses a smooth reformulation. Under the presented assumptions the hybrid method, which combines a potential reduction algorithm and an LP‐Newton method, has global and fast local convergence properties. Furthermore we adapt the algorithm to a nonsmooth reformulation, prove under some additional strong assumptions similar convergence properties as for the smooth reformulation, and compare the two approaches.