Multiple Choice
The amount by which an objective function coefficient would have to improve before it would be possible for the corresponding variable to assume a positive value in the optimal solution is called the
A) reduced cost.
B) relevant cost.
C) sunk cost.
D) dual price.
Correct Answer:

Verified
Correct Answer:
Verified
Related Questions
Q1: The amount that the objective function coefficient
Q7: The optimal solution of the linear
Q11: LINDO output is given for the
Q14: If the range of feasibility indicates that
Q21: Explain the two interpretations of dual prices
Q28: The 100% Rule does not imply that
Q31: Describe each of the sections of output
Q42: How would sensitivity analysis of a linear
Q43: If a decision variable is not positive
Q47: The 100% Rule compares<br>A) proposed changes to