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- W4313445806 abstract "This chapter describes some specific mathematical tools that are used throughout this book. First, two decision-making under uncertainty tools are analyzed: stochastic programming and robust optimization. Next, the linear decision rules approach is presented. This technique allows to establish linear relationships between the optimization variables and the uncertain parameters, which allows to reduce the computational size of optimization problems. The linear decision rules approach is specially convenient in multi-stage programming problems under uncertainty. Finally, the practical implementation of the Benders’ decomposition is described in detail. This decomposition technique is of special interest for those large-scale optimization problems that can be decomposed easily if the values of some variables are fixed. Note that this chapter intends to provide basic concepts of some mathematical tools of interest. Those readers familiar with these tools may skip this chapter." @default.
- W4313445806 created "2023-01-06" @default.
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- W4313445806 date "2023-01-01" @default.
- W4313445806 modified "2023-10-18" @default.
- W4313445806 title "Mathematical Tools" @default.
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- W4313445806 doi "https://doi.org/10.1007/978-3-031-09079-0_3" @default.
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