A smoothing Newton method for solving a class of stochastic linear complementarity problems

2011 ◽  
Vol 12 (6) ◽  
pp. 3585-3601 ◽  
Author(s):  
Jia Tang ◽  
Changfeng Ma
2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Xiangli Li

A new algorithm for nonsmooth box-constrained minimization is introduced. The method is a smoothing nonmonotone Barzilai-Borwein (BB) gradient method. All iterates generated by this method are feasible. We apply this method to stochastic linear complementarity problems. Numerical results show that our method is promising.


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