Introduction
Linear programming is a method for finding minimum or maximum value of a function, given a set of constraints, or limits, for the variables in the function.
Here is a simple example. The function you want to maximize is P = −2x + 3y.
The constraints on x and y are:
1 ≤ x ≤ 3
0 ≤ y ≤ 2
You must find the values of x and y, within the given constraints, that give the maximum value for P. To do this, choose a value for each variable and plug it in to the function P. Keep trying until you find the maximum value for P.
For example, suppose you choose x = 2 and y = 1. When you plug it in to P, we get P = −2(2) +3(1) = −1.
So, P = −1 (the value of P is −1) when x = 2 and y = 1. Now try other values for x and y until you get the maximum value for P. Then complete the following:
The maximum value for P occurs when x = ______ and y = _____.
The maximum value for P occurs when x = 1 and y = 2, so the maximum value of P is ______.
Following successful completion of this lesson, students will be able to...
- Represent constraints by inequalities and by systems of inequalities.
Essential Questions
- How do you solve systems of equations algebraically?
- Which points in the solution of a system of linear inequalities need to be tested to maximize or minimize the variable of interest?
Enduring Understandings
- Students understand how to solve a variety of functions, and the effects of transformations on functions to describe an object.
The above objectives correspond with the Alabama Course of Study Algebra II with Statistics standards: 13, 14.