Scenarios for multistage stochastic programs

Dupacova, Jitka and Consigli, Giorgio and Wallace, S W (2000) Scenarios for multistage stochastic programs. Annals of Operations Research, 100 (1-4). pp. 25-53. ISSN 0254-5330

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Abstract

A major issue in any application of multistage stochastic programming is the representation of the underlying random data process. We discuss the case when enough data paths can be generated according to an accepted parametric or nonparametric stochastic model. No assumptions on convexity with respect to the random parameters are required. We emphasize the notion of representative scenarios (or a representative scenario tree) relative to the problem being modeled.

Item Type:
Journal Article
Journal or Publication Title:
Annals of Operations Research
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
?? SCENARIOS AND SCENARIO TREESCLUSTERING IMPORTANCE SAMPLING MATCHING MOMENTSPROBLEM ORIENTED REQUIREMENTSINFERENCE AND BOUNDSDECISION SCIENCES(ALL)MANAGEMENT SCIENCE AND OPERATIONS RESEARCHDISCIPLINE-BASED RESEARCH ??
ID Code:
45382
Deposited By:
Deposited On:
11 Jul 2011 18:31
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Sep 2023 00:35