Linear programing formulations, dynamic programing formulations, and policy iteration models have all been used to solve for optimal operating rules for a single stochastic reservoir. In this paper, quantitative guidelines which discriminate between dynamic programing models and policy iteration models are developed. A judgment that stochastic dynamic programing models should be the preferred algorithm is reached.
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