In Example 2B we saw that there was no optimal solution for the problem of maximizing the objective function z over the feasible region S . We want to add an additional constraint to modify the feasible region so that an optimal solution for the maximization problem does exist. Which of the following constraints will accomplish this objective? A x ≤ 20 B y ≥ 4 C x ≤ y D y ≤ x
In Example 2B we saw that there was no optimal solution for the problem of maximizing the objective function z over the feasible region S . We want to add an additional constraint to modify the feasible region so that an optimal solution for the maximization problem does exist. Which of the following constraints will accomplish this objective? A x ≤ 20 B y ≥ 4 C x ≤ y D y ≤ x
In Example 2B we saw that there was no optimal solution for the problem of maximizing the objective function
z
over the feasible region
S
. We want to add an additional constraint to modify the feasible region so that an optimal solution for the maximization problem does exist. Which of the following constraints will accomplish this objective?
if δ ≥ 2, then it contains a cycle with length at least δ + 1.
+6x²+135x+1) (0≤x≤10). a) Find the number of units
The total profit P(x) (in thousands of dollars) from a sale of x thousand units of a new product is given by P(x) = In (-x²+6x² + 135x+
that should be sold in order to maximize the total profit. b) What is the maximum profit?
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