On a chicken farm, the poultry is given a healthy diet to gain weight. The chickens have to consure a minimum of 15 units of substance A and another 15 units of substance B. In the market there are only two classes of compounds: Type 1, with a compoistion of one unit of A to five units of B, and another type, 2, with a compostion of five units of A to one of B. The price of Type 1 is $10 and Type 2 is $30. What are the quantities of each type of compound, that have to be purchased to cover the needs of the diet with a minimal cost?

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To determine the quantities of each type of compound needed to cover the diet's requirements at the lowest cost, we can set up a linear programming problem.

Let's assume x represents the number of units of Type 1 compound, and y represents the number of units of Type 2 compound.

We know that:
1 unit of Type 1 compound contains 1 unit of substance A and 5 units of substance B.
1 unit of Type 2 compound contains 5 units of substance A and 1 unit of substance B.

Therefore, the constraints can be written as:
1x + 5y ≥ 15 (constraint for substance A)
5x + 1y ≥ 15 (constraint for substance B)

The cost function, representing the total cost, can be written as:
Cost = 10x + 30y

We want to minimize the cost, subject to the given constraints.

To solve this linear programming problem, we can use graphical method or linear programming software. The solution will give us the optimal values for x and y, indicating the quantities of each type of compound to be purchased.

Please note that since the constraints involve whole units (15 units), the solution may not yield exact whole numbers for x and y.

To solve this problem and determine the quantities of each compound needed at a minimal cost, we can use a technique called linear programming.

Let's use the following variables:
- Let x represent the number of Type 1 compounds.
- Let y represent the number of Type 2 compounds.

Now, we can set up the constraints based on the given information:
1. The poultry has to consume a minimum of 15 units of substance A, which can be satisfied by the compounds. The amount of substance A from Type 1 compounds is 1x, and from Type 2 compounds is 5y. So, the constraint for substance A is: 1x + 5y ≥ 15.
2. Similarly, the poultry has to consume a minimum of 15 units of substance B. From Type 1 compounds, the amount of substance B is 5x, and from Type 2 compounds, it is y. So, the constraint for substance B is: 5x + 1y ≥ 15.

Another important constraint we need to consider is that the quantities of compounds cannot be negative:
3. x ≥ 0 (Type 1 compounds)
4. y ≥ 0 (Type 2 compounds)

Now, we can formulate the objective function, which represents the cost we want to minimize:
Cost = $10x + $30y

The objective is to minimize the cost while satisfying all the constraints.

To solve this linear programming problem, we can graph the feasible region (the region where all constraints are satisfied) and find the intersection points. The point that minimizes the cost will be our solution.

However, to illustrate the solution further, let's solve this problem using the Simplex method. We can express the constraints in standard form. Rewriting the constraints, we have:
1x + 5y ≥ 15 (Equation 1)
5x + 1y ≥ 15 (Equation 2)
x ≥ 0 (Equation 3)
y ≥ 0 (Equation 4)

Now we can solve this using linear programming techniques, such as the Simplex method, to find the optimal values for x and y.