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Dupacova, J. & Wets, R.J.-B. (1987). Asymptotic Behavior of Statistical Estimators and of Optimal Solutions of Stochastic Optimization Problems, II. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-87-009
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Abstract
This paper supplements the results of a new statistical approach to the problem of incomplete information in stochastic programming. The tools of nondifferentiable optimization used here, help to prove the consistency and asymptotic normality of (approximate) optimal solutions without unnatural smoothness assumptions. This allows the theory to take into account the presence of constraints.
| Item Type: | Monograph (IIASA Working Paper) |
|---|---|
| Research Programs: | Adaption and Optimization (ADO) |
| Depositing User: | IIASA Import |
| Date Deposited: | 15 Jan 2016 01:58 |
| Last Modified: | 27 Aug 2021 17:13 |
| URI: | https://pure.iiasa.ac.at/3042 |
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