USE OF THE 'EXPECTED VALUE SOLUTION' IN LINEAR PROGRAMMING UNDER UNCERTAINTY,
RAND CORP SANTA MONICA CALIF
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The use of two methods in the one-stage stochastic linear program is discussed 1 replacing the random elements by their expected values the expected-value solution and 2 replacing the random elements by pessimistic estimates of their values the fat technique. The one-stage problem and the two-stage problem are described, and the relation between the fat techniques used in the one-stage problem and the so-called slack techniques useful in the two-stage problem is demonstrated.