Abstract
In this paper, we (i) describe how several equilibrium problems can be uniformly modelled by a finite-dimensional asymmetric variational inequality defined over a Cartesian product of sets, and (ii) investigate the local and global convergence of various iterative methods for solving such a variational inequality problem. Because of the special Cartesian product structure, these iterative methods decompose the original variational inequality problem into a sequence of simpler variational inequality subproblems in lower dimensions. The resulting decomposition schemes often have a natural interpretation as some adjustment processes.
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This research was based on work supported by the National Science Foundation under grant ECS 811–4571.
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Pang, JS. Asymmetric variational inequality problems over product sets: Applications and iterative methods. Mathematical Programming 31, 206–219 (1985). https://doi.org/10.1007/BF02591749
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DOI: https://doi.org/10.1007/BF02591749