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• W1447488455 abstract "We consider in this paper stochastic programming problems which can be formulated as an optimization problem of an expected value function subject to deterministic constraints. We discuss a Monte Carlo simulation approach based on sample average approximations to a numerical solution of such problems. In particular, we give a survey of a statistical inference of the sample average estimators of the optimal value and optimal solutions of the true problem. We also discuss stopping rules and a validation analysis for such sample average approximation optimization procedures and give some illustration examples. ∗This work was supported, in part, by grant Grant DMI-9713878 from the National Science Foundation." @default.
• W1447488455 created "2016-06-24" @default.
• W1447488455 creator A5025917676 @default.
• W1447488455 date "2000-01-31" @default.
• W1447488455 modified "2023-09-25" @default.
• W1447488455 title "Stochastic programming by Monte Carlo simulation methods" @default.
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• W1447488455 doi "https://doi.org/10.18452/2843" @default.
• W1447488455 hasPublicationYear "2000" @default.
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