Improved error bound and a hybrid method for generalized Nash equilibrium problems

Improved error bound and a hybrid method for generalized Nash equilibrium problems

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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:
Keywords: game theory, heuristics
Abstract:

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.

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