Back to Search Start Over

Two-Stage Stochastic Variational Inequality Arising from Stochastic Programming.

Authors :
Li, Min
Zhang, Chao
Source :
Journal of Optimization Theory & Applications. Jul2020, Vol. 186 Issue 1, p324-343. 20p.
Publication Year :
2020

Abstract

We consider a two-stage stochastic variational inequality arising from a general convex two-stage stochastic programming problem, where the random variables have continuous distributions. The equivalence between the two problems is shown under some moderate conditions, and the monotonicity of the two-stage stochastic variational inequality is discussed under additional conditions. We provide a discretization scheme with convergence results and employ the progressive hedging method with double parameterization to solve the discretized stochastic variational inequality. As an application, we show how the water resources management problem under uncertainty can be transformed from a two-stage stochastic programming problem to a two-stage stochastic variational inequality, and how to solve it, using the discretization scheme and the progressive hedging method with double parameterization. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00223239
Volume :
186
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Optimization Theory & Applications
Publication Type :
Academic Journal
Accession number :
144370822
Full Text :
https://doi.org/10.1007/s10957-020-01686-x