Infeasible interior-point algorithms based on sampling...

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Journal of Computational and Applied Mathematics 2018 / 12

Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications

Yang, Zhen-Ping, Zhang, Jin, Zhu, Xide, Lin, Gui-Hua
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Language:
english
Journal:
Journal of Computational and Applied Mathematics
DOI:
10.1016/j.cam.2018.12.013
Date:
December, 2018
File:
PDF, 568 KB
english, 2018
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