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A Level Maths · Pure · Year 13

A Level Maths Numerical Methods revision

Numerical methods is Year 13 only. It is about approximating what you cannot solve exactly: locating roots, iteration, Newton-Raphson and the trapezium rule, and explaining when each method fails.

  • Same content for AQA, Edexcel and OCR
  • Step-by-step mark schemes
  • 48-hour free trial, no card
What you need to know

Numerical Methods in Year 12 and Year 13

This topic is A Level only: it is not on the AS exam.

Year 12 (AS content)

None: numerical methods starts in Year 13.

Year 13 (full A Level only)

  • Locating roots by a change of sign, and when the method fails
  • Iteration of the form xₙ₊₁ = g(xₙ), with staircase and cobweb diagrams
  • The Newton-Raphson method and why it can fail
  • The trapezium rule, and whether it over- or under-estimates
  • Using numerical methods to solve problems in context

Worked examplemedium3 marks

The equation $e^{2x} - 5x = 0$ has a root $\alpha$. Show that this equation can be rearranged into the iterative formula $x_{n+1} = \frac{1}{2}\ln(5x_n)$.

Mark scheme and worked answer
  1. M1 for isolating the exponential term to get $e^{2x} = 5x$.
  2. M1 for taking the natural logarithm of both sides: $2x = \ln(5x)$.
  3. A1 for dividing by 2 to write it in the required iterative form $x_{n+1} = \frac{1}{2}\ln(5x_n)$.

Then practise: skills to practise · open numerical methods practice questions.

Where it's examined

Numerical Methods on the AQA, Edexcel and OCR papers

Every board examines the same A Level Maths content, set by the Department for Education. Only the paper it appears on and the section numbering differ.

BoardSpecification referenceExamined in
AQA 7357AQA section IPaper 1, and Section A of Papers 2 and 3
Edexcel 9MA0Edexcel topic Pure 9Paper 1 and Paper 2
OCR A H240OCR reference 1.09Paper 1, and the pure sections of Papers 2 and 3
Practice questions

A Level Maths numerical methods exam-style questions

Three examples from the question bank. Every question comes with a step-by-step mark scheme (M, A and B marks) once you start practising.

Question 1easy3 marks

Show that the equation $x^3 - 3x + 1 = 0$ has a root $\alpha$ in the interval $[1, 2]$.

Mark scheme: in the 48-hour free trial.

Question 2medium3 marks

Explain why the function $f(x) = \frac{1}{x-2}$ has a change of sign between $x=1$ and $x=3$, but does not have a root in this interval.

Mark scheme: in the 48-hour free trial.

Question 3hard2 marks

Explain the significance of the gradient of the curve $y = g(x)$ near a root $\alpha$ when using the iterative formula $x_{n+1} = g(x_n)$.

Mark scheme: in the 48-hour free trial.

Questions are original and written in the style of Edexcel 9MA0, and cover content that AQA and OCR examine too. They are not past-paper questions.

In the practice engine

Skills you can practise

These skills sit in the Pure II unit of the UK A Level practice engine. Pick any mix of them, set the difficulty, and check each answer against its mark scheme.

Locating roots by change of signIteration x = g(x)The Newton-Raphson methodThe trapezium ruleStaircase & cobweb diagrams

Open Pure II practice

Past papers

Past paper questions on numerical methods

Numerical methods can come up on these papers (from each board's paper structure). We haven't mapped individual questions yet, so open a recent paper and look for it.

Papers are © the exam boards; each page links to the official question paper and mark scheme. All A Level Maths past papers →

Numerical Methods: common questions

Is numerical methods on the AQA, Edexcel and OCR A Level Maths exams?

Yes. Numerical Methods is part of the A Level Maths content that every board examines: AQA section I, Edexcel Pure 9, OCR 1.09. It is assessed in AQA Paper 1, and Section A of Papers 2 and 3; Edexcel Paper 1 and Paper 2; OCR A Paper 1, and the pure sections of Papers 2 and 3.

Is numerical methods Year 12 or Year 13 content?

Numerical Methods is A Level only, so it is usually taught in Year 13 and is not on the AS exam.

Why does the Newton-Raphson method sometimes fail?

It divides by f′(x), so it breaks down when the starting value is at or near a stationary point, and it can jump to a different root if the starting value is poor.

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