Expected Residual Minimization Method for a Class of Stochastic Quasivariational Inequality Problems

نویسندگان

  • Hui-qiang Ma
  • Nan-Jing Huang
چکیده

We consider the expected residual minimization method for a class of stochastic quasivariational inequality problems SQVIP . The regularized gap function for quasivariational inequality problem QVIP is in general not differentiable. We first show that the regularized gap function is differentiable and convex for a class of QVIPs under some suitable conditions. Then, we reformulate SQVIP as a deterministic minimization problem that minimizes the expected residual of the regularized gap function and solve it by sample average approximation SAA method. Finally, we investigate the limiting behavior of the optimal solutions and stationary points.

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عنوان ژورنال:
  • J. Applied Mathematics

دوره 2012  شماره 

صفحات  -

تاریخ انتشار 2012