Practice Linear Programming in Math
Use these practice problems to test your method after reviewing the concept explanation and worked examples.
Quick Recap
Linear programming optimizes a linear objective subject to linear inequality or equality constraints.
You search the corners of an allowed region for the best score.
Showing a random 20 of 50 problems.
Example 1
easyHow many corner points does a triangular feasible region have to check?
Example 2
mediumMinimize subject to , , .
Example 3
mediumA shop profits per and per . Write the objective to maximize.
Example 4
mediumTrue or False: A linear objective on a bounded feasible polygon always achieves its maximum at a vertex.
Example 5
mediumMaximize over corners , , , .
Example 6
mediumIs the feasible region for , , bounded or unbounded?
Example 7
challengeMinimize subject to , , .
Example 8
easyWrite a constraint: a worker has at most hours, using hours per unit of .
Example 9
mediumMaximize subject to , , .
Example 10
easyA constraint says production must be at least units of . Write it.
Example 11
hardMinimize subject to , , , .
Example 12
mediumFind the feasible vertex of and in the first quadrant where the two lines meet.
Example 13
mediumMaximize over corners , , , .
Example 14
mediumMaximize over the region , .
Example 15
challengeMaximize over , , . Find the optimum.
Example 16
easyA feasible region has vertices at , , , . Maximize .
Example 17
easyEvaluate at the corner .
Example 18
mediumMaximize subject to , , .
Example 19
easyDoes the point satisfy the constraint ?
Example 20
challengeWhy must the optimum of a linear objective on a bounded polygon occur at a vertex?