Final answer:
The objective of a linear programming problem is to maximize or minimize a linear function called the objective function, subject to a set of constraints.
Step-by-step explanation:
The objective of a linear programming problem is to maximize or minimize a linear function called the objective function, subject to a set of constraints. In this case, the objective is to maximize the function 1x1 + 1x2. The constraints are:
- 4x1 + 7x2 ≤ 31
- 11x1 + 5x2 ≤ 15
- 2x1 + 1x2 ≤ 13
- x1 and x2 must be greater than or equal to 0 and both must be integers.
To solve this problem, you can use a method called the simplex algorithm or graphing to find the values of x1 and x2 that maximize the objective function while satisfying the constraints.