Abstract
The evaluation of the recourse function or the probability of satisfying a set of constraints can be quite complicated. This problem is basically one of numerical integration in high dimensions corresponding to the random variables. The general problem requires some form of approximation, such as quadrature formulas, which typically apply to smooth functions in low dimensions without using known convexity properties. In Section 8.1 of this chapter, we review some of these basic procedures, but note that stochastic programs often do not have differentiability as assumed in many numerical schemes but generally do have useful convexity properties.
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© 2011 Springer Science+Business Media, LLC
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Birge, J.R., Louveaux, F. (2011). Evaluating and Approximating Expectations. In: Introduction to Stochastic Programming. Springer Series in Operations Research and Financial Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0237-4_8
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DOI: https://doi.org/10.1007/978-1-4614-0237-4_8
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