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The Amount By Which An Objective Function Coefficient

The Amount By Which An Objective Function Coefficient. · the amount by which an objective function coefficient can be decreased with the current basis remaining optimal. The amount by which an objective function coefficient can change before a different set of values for the decision variables becomes optimal is the a.

Daojiang HE PhD Anhui Normal University, Wuhu AHNU
Daojiang HE PhD Anhui Normal University, Wuhu AHNU from www.researchgate.net

A) the reduced cost is the amount by which the objective function coefficient of a nbv must be improved before the lp will have an optimal solution in which this nbv is a basic variable. In linear programming, reduced cost, or opportunity cost, is the amount by which an objective function coefficient would have to improve (so increase for maximization problem, decrease for minimization problem) before it would be possible for a corresponding variable to assume a positive value in the optimal solution. The amount by which an objective function coefficient can change before a different set of values for the decision variables becomes optimal is the.

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