@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 = {

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.

}, issn = {2707-8523}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/cmr/19013.html} }