Linear Programming Examples in Math
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Linear Programming.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in Math.
Concept 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.
Read the full concept explanation →How to Use These Examples
- Read the first worked example with the solution open so the structure is clear.
- Try the practice problems before revealing each solution.
- Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea: Linear programming maximizes or minimizes a linear objective over a region cut out by linear constraints, and the optimum always sits at a corner of that region.
Common stuck point: The procedure for linear programming is the easy part; the trap is searching the interior for the best value. Asking "Am I optimizing a linear objective over a region bounded by linear inequalities, with the answer expected at a corner?" first is what keeps a correct-looking calculation from being attached to the wrong concept.
Sense of Study hint: Ask: Am I optimizing a linear objective over a region bounded by linear inequalities, with the answer expected at a corner?
Worked Examples
Example 1
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First step
See the full worked solution + why-it-works coaching
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Try these problems on your own first, then open the solution to compare your method.
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Background Knowledge
These ideas may be useful before you work through the harder examples.