Approximation in policy space, linear, and nonlinear programming.

by Richard Ernest Bellman

Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback7 pages $15.00 $12.00 20% Web Discount

Part of a broader investigation concerned with the applicability of the technique of successive approximations to a variety of nonlinear and multidimensional problems arising in the theory of dynamic programming. The present paper indicates how the method of dynamic-programming theory, in the guise of approximation in policy space, can be used to yield monotone approximation for linear, quadratic, and nonlinear programming. 7 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.