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Partially Adaptive Robust Optimization for Uncertain Fluid Processing Networks
This paper studies the problem of controlling fluid approximations of processing networks under uncertainty. Classical robust formulations for such models rely on static (here-and-now) control decisions that must remain feasible for all realizations of uncertainty, often leading to highly conservati
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