Abstract
As was illustrated in our News Mix example in Chap. 1, it is not straightforward to pass from a deterministic to a stochastic formulation. We need to rethink the whole model, very often by changing both variables and constraints. Although many reformulations may make sense mathematically, they may in fact be rather peculiar in terms of interpretations. The purpose of this section is to discuss some of these issues, partly in terms of examples. The goal is not to declare some formulations generally superior to others, but rather to help you think carefully about how you rewrite your problems in light of uncertainty.
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King, A.J., Wallace, S.W. (2012). Modeling Feasibility and Dynamics. In: Modeling with Stochastic Programming. Springer Series in Operations Research and Financial Engineering. Springer, New York, NY. https://doi.org/10.1007/978-0-387-87817-1_2
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