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Applicable Analysis
An International Journal
Volume 100, 2021 - Issue 6
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Articles

Unconstrained optimization reformulation for stochastic nonlinear complementarity problems

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Pages 1158-1179 | Received 24 Feb 2019, Accepted 21 Jun 2019, Published online: 04 Jul 2019

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JianXun Liu, ShengJie Li & Jie Jiang. (2022) Quantitative stability of two-stage stochastic linear variational inequality problems with fixed recourse. Applicable Analysis 101:8, pages 3122-3138.
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Articles from other publishers (4)

Ta Ngoc Anh & Dao Khac Huan. (2024) The existence of random solutions to random optimization problems. Random Operators and Stochastic Equations 0:0.
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Dan-dan Dong, Guo-ji Tang & Hui-ming Qiu. (2023) On the unconstrained optimization reformulations for a class of stochastic vector variational inequality problems. Journal of Inequalities and Applications 2023:1.
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Jianxun Liu, Shengjie Li & Yingrang Xu. (2022) Quantitative stability of the ERM formulation for a class of stochastic linear variational inequalities. Journal of Industrial and Management Optimization 18:4, pages 2599.
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C. W. Wu, J. P. Cao & L. F. Wang. (2020) Convergence Analysis of a Trust-Region Multidimensional Filter Method for Nonlinear Complementarity Problems. Mathematical Problems in Engineering 2020, pages 1-9.
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