@Article{CMR-29-97,
author = {Zhang , JieZhang , Hongwei and Zhang , Liwei},
title = {A Smoothing SAA Method for a Stochastic Linear Complementarity Problem},
journal = {Communications in Mathematical Research },
year = {2021},
volume = {29},
number = {2},
pages = {97--107},
abstract = {<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>},
issn = {2707-8523},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/cmr/19013.html}
}