A proof that the functional-equation technique of dynamic programming can be used to determine the optimal, second-best, third-best, etc., policies for various deterministic and stochastic multistage decision processes. This proof is significant in various problems in combinatorial analysis, network and switching theory, and sensitivity analysis. The routing problem is also discussed. 14 pp.
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