Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback14 pages $15.00 $12.00 20% Web Discount

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.

This report is part of the RAND Corporation Paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.