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 βHow 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: At a local maximum or minimum, the derivative equals zero (or is undefined) β these are called critical points.
Common stuck point: Check endpoints tooβmax/min might be at boundaries, not where derivative = 0.
Sense of Study hint: Draw a labeled diagram of the situation, write one equation for what you optimize and one for the constraint.
Worked Examples
Example 1
easySolution
- 1 Find f'(x) = 3x^2 - 3 = 3(x^2 - 1) = 3(x-1)(x+1).
- 2 Set f'(x) = 0: critical points at x = 1 and x = -1.
- 3 Find f''(x) = 6x. At x = -1: f''(-1) = -6 < 0, so local maximum.
- 4 At x = 1: f''(1) = 6 > 0, so local minimum.
- 5 Evaluate: f(-1) = -1 + 3 + 2 = 4 (local max); f(1) = 1 - 3 + 2 = 0 (local min).
Answer
Example 2
hardPractice Problems
Try these problems on your own first, then open the solution to compare your method.
Example 1
easyExample 2
mediumRelated Concepts
Background Knowledge
These ideas may be useful before you work through the harder examples.