Title
Convergence Analysis of Sample Average Approximation of Two-Stage Stochastic Generalized Equations
Abstract
A solution of two-stage stochastic generalized equations is a pair: a first stage solution which is independent of realization of the random data and a second stage solution which is a function of random variables. This paper studies convergence of the sample average approximation of two-stage stochastic nonlinear generalized equations. In particular, an exponential rate of the convergence is shown by using the perturbed partial linearization of functions. Moreover, sufficient conditions for the existence, uniqueness, continuity, and regularity of solutions of two-stage stochastic generalized equations are presented under an assumption of monotonicity of the involved functions. These theoretical results are given without assuming relatively complete recourse and are illustrated by two-stage stochastic noncooperative games of two players.
Year
DOI
Venue
2019
10.1137/17M1162822
SIAM JOURNAL ON OPTIMIZATION
Keywords
Field
DocType
two-stage stochastic generalized equations,sample average approximation,convergence,exponential rate,monotone multifunctions
Sample average approximation,Convergence (routing),Applied mathematics,Discrete mathematics,Mathematics
Journal
Volume
Issue
ISSN
29
1
1052-6234
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Xiaojun Chen11298107.51
Alexander Shapiro26012.92
Hailin Sun3303.81