Methods of solution of linear programs under uncertainty: notes on linear programming and extensions-part 56.

by Albert Madansky

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A discussion of the uncertainty involved in most practical linear-programming problems. Possible ways to compensate for this uncertainty are to replace the random elements by expected values or by pessimistic estimates of these values, or to recast the problem into a two-stage program so that, in the second stage, the "inaccuracies" in the first stage can be compensated for. This memorandum examines the one-stage linear program under uncertainty, indicating the relations between these ways of reducing the effects of uncertainty

This report is part of the RAND Corporation research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.

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