TY - JOUR
T1 - A Smoothing SAA Method for a Stochastic Linear Complementarity Problem
AU - Zhang , Jie
AU - Zhang , Hongwei
AU - Zhang , Liwei
JO - Communications in Mathematical Research 
VL - 2
SP - 97
EP - 107
PY - 2021
DA - 2021/05
SN - 29
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/cmr/19013.html
KW - aggregation technique, smoothing SAA method, stochastic linear complementarity problem.
AB - <p style="text-align: justify;">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.</p>