Quantitative stability of two-stage stochastic linear variational inequality problems with fixed recourse

被引:4
|
作者
Liu, JianXun [1 ]
Li, ShengJie [1 ]
Jiang, Jie [1 ]
机构
[1] Chongqing Univ, Coll Math & Stat, Chongqing, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Two-stage stochastic variational inequality problem; Residual function; Quantitative stability analysis; Sample average approximation; Convergence analysis; SAMPLE AVERAGE APPROXIMATION; RESIDUAL MINIMIZATION METHOD; MATHEMATICAL PROGRAMS; EQUILIBRIUM;
D O I
10.1080/00036811.2020.1836352
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper focus on the quantitative stability of a class of two-stage stochastic linear variational inequality problems whose second stage problems are stochastic linear complementarity problems with fixed recourse matrix. Firstly, we discuss the existence of solutions to this two-stage stochastic problems and its perturbed problems. Then, by using the corresponding residual function, we derive the quantitative stability of this two-stage stochastic problem under Fortet-Mourier metric. Finally, we study the sample average approximation problem, and obtain the convergence of optimal solution sets under moderate assumptions.
引用
收藏
页码:3122 / 3138
页数:17
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