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A Smoothing SAA Method for a Stochastic Linear Complementarity Problem 被引量:1
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作者 Zhang Jie Zhang Hong-wei +1 位作者 Zhang Li-wei Yin jing-xue 《Communications in Mathematical Research》 CSCD 2013年第2期97-107,共11页
Utilizing the well-known aggregation technique, we propose a smoothing sample average approximation (SAA) method for a stochastic linear complementarity problem, where the underlying functions are represented by exp... Utilizing the well-known aggregation technique, we propose a smoothing sample average approximation (SAA) method for a stochastic linear complementarity problem, where the underlying functions are represented by expectations of stochastic functions. The method is proved to be convergent and the preliminary numerical results are reported. 展开更多
关键词 aggregation technique smoothing SAA method stochastic linear com- plementarity problem
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