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Year 12 Maths Advanced (2027) Applications of calculus

Optimisation Problems

20 practice questions 0 video lessons Theory + worked examples
NSW · Year 12 Mathematics Advanced · Applications of calculus

Optimisation problems use calculus to maximise or minimise a real quantity — area, volume, cost or time — by differentiating a model and solving \(f'(x)=0\).

Part of the NSW Year 12 Mathematics Advanced course, in the Calculus area of study (Applications of calculus focus area) of the 2024 syllabus. Work through practice questions with fully worked solutions and video lessons, or scroll down for the theory summary and worked examples.

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Theory

Optimisation uses calculus to find the best value. This Year 12 Mathematics Advanced topic (MAV-12-06) models a quantity as a function of one variable and finds its maximum or minimum.

Write the quantity as a function of one variable (use the constraint to eliminate the other), solve \(\dfrac{dQ}{dx}=0\), confirm max or min (with \(Q''\) or a sign test), check endpoints, and answer in context.

Maximising areaThe area function A = x(10 - x) has its maximum at x = 5. xy max A=x(10-x)
Area \(A=x(10-x)\) is greatest at \(x=5\).
\[\dfrac{dQ}{dx}=0\ \text{then confirm max/min}\]
solve dQ dx equals zero, then confirm a maximum or minimum

Method

  1. Express the quantity as a function of one variable.
  2. Differentiate and solve \(\dfrac{dQ}{dx}=0\).
  3. Confirm the nature and answer in context.
Example 1 — Set up
A rectangle has perimeter \(20\) m; one side is \(x\). Write the area.
Solution
\(A\)\(=\)\(x(10-x)=10x-x^{2}\)
Example 2 — Optimise
Find the \(x\) that maximises \(A\).
Solution
\(10-2x\)\(=\)\(0\)
\(x\)\(=\)\(5\)
Example 3 — Answer
Find the maximum area.
Solution
\(A''\)\(=\)\(-2<0\ (\text{max})\)
\(A_{\max}\)\(=\)\(25\ \text{m}^{2}\)
Example 4 — Another perimeter
Maximise the area with perimeter \(24\) m.
Solution
\(A\)\(=\)\(x(12-x)\)
\(x\)\(=\)\(6,\ A=36\ \text{m}^{2}\)

Common pitfalls

Get to one variable first using the constraint.
Confirm the nature (max vs min).
Answer what is asked (value and/or dimensions).

Frequently asked questions

How do you solve an optimisation problem?

Write the quantity as a function of one variable using the constraint, differentiate, set the derivative to zero, confirm it is a max or min, and answer in context.

Why must you get to one variable?

Calculus can only optimise a function of a single variable, so the constraint is used to eliminate the other.

How do you confirm a maximum?

Use the second derivative (negative means a maximum) or test the sign of the first derivative either side.

Do you need to check endpoints in optimisation?

Yes, if the variable has a restricted range, the extreme value can occur at an endpoint.