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Journal Articles
- 2024
[j10]Zhen-Ping Yang, Yong Zhao
:
Hybrid SGD algorithms to solve stochastic composite optimization problems with application in sparse portfolio selection problems. J. Comput. Appl. Math. 436: 115425 (2024)- [j9]Zhen-Ping Yang, Yong Zhao, Gui-Hua Lin:
Variable sample-size optimistic mirror descent algorithm for stochastic mixed variational inequalities. J. Glob. Optim. 89(1): 143-170 (2024) - 2023
- [j8]Gui-Hua Lin, Zhen-Ping Yang, Haian Yin, Jin Zhang:
A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems. Comput. Optim. Appl. 86(2): 669-710 (2023) - [j7]Shuilian Xie, Zhen-Ping Yang, Hongru Xu:
A modulus-based matrix splitting method for the vertical nonlinear complementarity problem. J. Appl. Math. Comput. 69(4): 2987-3003 (2023) - 2022
- [j6]Zhen-Ping Yang, Gui-Hua Lin:
Two fast variance-reduced proximal gradient algorithms for SMVIPs-Stochastic Mixed Variational Inequality Problems with suitable applications to stochastic network games and traffic assignment problems. J. Comput. Appl. Math. 408: 114132 (2022) - 2021
- [j5]Zhen-Ping Yang, Gui-Hua Lin:
Variance-Based Single-Call Proximal Extragradient Algorithms for Stochastic Mixed Variational Inequalities. J. Optim. Theory Appl. 190(2): 393-427 (2021) - [j4]Zhen-Ping Yang, Jin Zhang, Yuliang Wang, Gui-Hua Lin:
Variance-Based Subgradient Extragradient Method for Stochastic Variational Inequality Problems. J. Sci. Comput. 89(1): 4 (2021) - 2020
- [j3]Zhen-Ping Yang, Yuliang Wang, Gui-Hua Lin:
Variance-Based Modified Backward-Forward Algorithm with Line Search for Stochastic Variational Inequality Problems and Its Applications. Asia Pac. J. Oper. Res. 37(3): 2050011:1-2050011:33 (2020) - 2019
- [j2]Zhen-Ping Yang, Jin Zhang, Xide Zhu, Gui-Hua Lin:
Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications. J. Comput. Appl. Math. 352: 382-400 (2019) - [j1]Xiao-Juan Zhang, Xue-Wu Du, Zhen-Ping Yang, Gui-Hua Lin:
An Infeasible Stochastic Approximation and Projection Algorithm for Stochastic Variational Inequalities. J. Optim. Theory Appl. 183(3): 1053-1076 (2019)
Coauthor Index
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