The Use of Quadratic Programming in Stochastic Linear Programming

by E. M. L. Beale

Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback25 pages $15.00 $12.00 20% Web Discount

A method of allowing for uncertainties in the constant terms (i.e., right-hand sides) of a linear programming problem, and hence of producing realistic "safety margins" in the solution. This is done by fitting a mixture of uniform distributions to the assumed distributions of these right-hand sides, and by using a particular quadratic programming algorithm.

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.