By Topic

The sample approximation method for the stochastic variational inequality problem with equality constraints

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Gao, L. ; Inst. of Math. & Syst. Sci., Liaoning Tech. Univ., Fuxin, China ; Cui Xing ; WanDong Lv

This paper presents a new method for solving stochastic variational inequality problems(SVIP), where the feasible set is the intersection of a simple set and polyhedron defined by a system of equality. We first formulate SVIP as an optimization problem that minimizes the expected residual of the so-called regularized gas function. Then we focus on the stochastic optimization problem. The method can be viewed as a combination of quasi-Monte Carlo and PSO. We test the new method, and the numerical results show that our approximate solution is very close to the true solution. Our new method is suitable for such class of variational inequality.

Published in:

Computer Application and System Modeling (ICCASM), 2010 International Conference on  (Volume:10 )

Date of Conference:

22-24 Oct. 2010