2005 | OriginalPaper | Buchkapitel
On Complexity of Stochastic Programming Problems
verfasst von : Alexander Shapiro, Arkadi Nemirovski
Erschienen in: Continuous Optimization
Verlag: Springer US
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The main focus of this paper is in a discussion of complexity of stochastic programming problems. We argue that two-stage (linear) stochastic programming problems with recourse can be solved with a reasonable accuracy by using Monte Carlo sampling techniques, while multistage stochastic programs, in general, are intractable. We also discuss complexity of chance constrained problems and multistage stochastic programs with linear decision rules.