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https://doi.org/10.1061/(asce)wr.1943-5452.0000883
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Cite Publication Date: Dec 8, 2017 | |
 Citations: 12 |
Affiliation: Université de Sherbrooke, Rio Tinto (Canada)
AbstractStochastic dynamic programming is one of the most widely used optimization techniques for water system optimization. In this study, four methods for estimating transition probabilities have...
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