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Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications.
Zhen-Ping Yang
Jin Zhang
Xide Zhu
Gui-Hua Lin
Published in:
J. Comput. Appl. Math. (2019)
Keyphrases
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complementarity problems
computational complexity
interior point
learning algorithm
lower bound
optimization problems
linear programming
multistage
linear complementarity problem