Final answer:
Maximize p = 2x 3y 1.1z 4w subject to constraints using the simplex method.
Step-by-step explanation:
The given problem is a linear programming problem, so the correct option in this case is A) Maximize. To solve this problem, we can use the simplex method. Here are the steps:
- Convert the inequalities into equations by adding slack variables: 1.2x + y + z + w + s1 = 81, -2.2x - y + z - w + s2 = -20, -1.2x - y - z - 1.2w + s3 = -21.
- Create the initial simplex tableau by putting all the coefficients and variables in a matrix.
- Choose the pivot column by selecting the most negative coefficient in the objective row.
- Choose the pivot element by selecting the smallest nonnegative constant value in the pivot column.
- Perform row operations to turn the pivot element into 1 and make the other elements in the pivot column 0.
- Repeat steps 3-5 until there are no negative coefficients in the objective row.
The optimal solution will be the values of x, y, z, and w that maximize the objective function p = 2x + 3y + 1.1z + 4w.