The prediction–correction approach to nonlinear complementarity problems

The prediction–correction approach to nonlinear complementarity problems

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Article ID: iaor20084731
Country: Netherlands
Volume: 176
Issue: 3
Start Page Number: 1357
End Page Number: 1370
Publication Date: Feb 2007
Journal: European Journal of Operational Research
Authors:
Keywords: complementarity
Abstract:

This paper presents a prediction–correction approach to solving the nonlinear complementarity problem (NCP). Each iteration of the new method consists of a prediction and a correction. The predictor is produced by an inexact Logarithmic–Quadratic Proximal method; and then it is corrected by the Proximal Point Algorithm. Convergence of the new method is proved under mild assumptions. Comparison to existing methods shows the superiority of the new method. Numerical experiments including the application to traffic equilibrium problems demonstrate that the new method is attractive in practice.

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