Final answer:
To find the minimum cost while meeting dietary requirements using foods F7 and F2, set up a linear programming problem with the objective function to minimize cost and constraints based on the dietary needs. Graph the inequalities or use a method like simplex to determine the optimal quantities of each food to purchase, then calculate the cost using these quantities.
Step-by-step explanation:
To determine how many units of each food, F7 and F2, should be purchased to satisfy the dietary requirements at minimum cost, we should set up a linear programming problem. Let x represent the number of units of F7 and y represent the number of units of F2. The objective function to minimize is the total cost: C = 0.05x + 0.08y.
The dietary requirements give us the following constraints:
- For carbohydrates: 35x + 50y ≥ 1144,
- For proteins: 56x + 20y ≥ 1888,
- For calories: 65x + 45y ≥ 2196.
- Additionally, x ≥ 0 and y ≥ 0 since we cannot purchase negative units of food.
By graphing these inequalities or using linear programming techniques like the simplex method, we can find the values of x and y that minimize C while still meeting the constraints. Once the optimal values for x and y are found, the minimum cost is computed using the objective function C.