Optimization Examples in Math
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Optimization.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in Math.
Concept Recap
The process of using derivatives to systematically find maximum or minimum values of a function over a domain.
Find where the function hits its peaks (maxima) and valleys (minima) by finding where the slope is zero.
Read the full concept explanation โHow 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: Optimization uses derivatives to find a function's maxima and minima by locating where and classifying them.
Common stuck point: The procedure for optimization is the easy part; the trap is stopping at without classifying. Asking "Am I seeking an extreme value by finding where the slope is zero and then classifying it?" first is what keeps a correct-looking calculation from being attached to the wrong concept.
Sense of Study hint: Ask: Am I seeking an extreme value by finding where the slope is zero and then classifying it?
Worked Examples
Example 1
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First step
Full solution
- 2 Set : critical points at and .
- 3 Find . At : , so local maximum.
- 4 At : , so local minimum.
- 5 Evaluate: (local max); (local min).
Example 2
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challengePractice Problems
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.