Consider the following linear programming problem: Maximize 40 X1 + 30 X2 + 60X3 Subject to: X1 + X2 + X3 ≥ 90 12 X1 + 8 X2 + 10 X3 ≤ 1500 X1 = 20 X3 ≤ 100 X1 , X2 , X3 ≥ 0 How many slack, surplus, and artificial variables would be necessary if the simplex algorithm were used to solve this problem?
If you have a ≤-constraint, then you have to add a slack variable for each constraint.
If you have a =-constraint, then you do not have to add a slack variable for each constraint. But you have to add an artificial variable for each constraint.
If you have a ≥-constraint, then you have to substract a slack variable for each constraint. Additionally you have to add an artificial variable for each constraint.
Ans :
Number of slack = 2
Number of surplus = 1
Number of artificial = 1+1 = 2
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