Abstract
We study a variational inequality problem VI(X,F) with X being defined by infinitely many inequality constraints and F being a pseudomonotone function. It is shown that such problem can be reduced to a problem of finding a feasible point in a convex set defined by infinitely many constraints. An analytic center based cutting plane algorithm is proposed for solving the reduced problem. Under proper assumptions, the proposed algorithm finds an ∈-optimal solution in O*(n 2/ρ2) iterations, where O*(·) represents the leading order, n is the dimension of X, ε is a user-specified tolerance, and ρ is the radius of a ball contained in the ε-solution set of VI(X,F).
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Fang, SC., Wu, SY. & Sun, J. An Analytic Center Cutting Plane Method for Solving Semi-Infinite Variational Inequality Problems. Journal of Global Optimization 28, 141–152 (2004). https://doi.org/10.1023/B:JOGO.0000015308.49676.ea
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DOI: https://doi.org/10.1023/B:JOGO.0000015308.49676.ea