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arXiv · 2107.09566

Exact quantization of multistage stochastic linear problems

Maël Forcier·Stéphane Gaubert·Vincent Leclère
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Abstract

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.

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Maël Forcier, Stéphane Gaubert, Vincent Leclère. 2021-07-20. Exact quantization of multistage stochastic linear problems. https://arxiv.org/abs/2107.09566

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