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Pré-Publication, Document De Travail Année : 2021

Exact quantization of multistage stochastic linear problems

Résumé

We show that the multistage linear problem (MSLP) with an arbitrary cost distribution is equivalent to a MSLP on a finite scenario tree. We establish this exact quantization result by analyzing the polyhedral structure of MSLPs. In particular, we show that the expected cost-to-go functions are polyhedral and affine on the cells of a chamber complex, which is independent of the cost distribution. This leads to new complexity results, showing that MSLP is fixed-parameter tractable.

Dates et versions

hal-03504876 , version 1 (30-12-2021)

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Maël Forcier, Stéphane Gaubert, Vincent Leclère. Exact quantization of multistage stochastic linear problems. 2021. ⟨hal-03504876⟩
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