Newton-Raphson iteration
Use the tangent at a current estimate to produce a new estimate of a root.
For a differentiable function, xₙ₊₁ = xₙ − f(xₙ)/f′(xₙ). Evaluate the function and derivative at the same estimate. A zero derivative makes the update undefined; a small derivative can send the estimate far from the intended root.
One successful step does not prove convergence. Keep enough precision between steps, state the starting estimate, and check the final residual. Different starting values can lead to different roots or fail to settle. This is dedicated numerical-methods practice on mapped routes, not a universal Further Maths requirement.
Worked example
For f(x) = x² − 2, perform one Newton step from x₀ = 1.5.
- f(1.5) = 0.25 and f′(1.5) = 3.
- x₁ = 1.5 − 0.25/3.
- Keep the exact fraction or sufficient decimal precision.
Answer: x₁ = 17/12 ≈ 1.41667
Revise first: Differentiating powers.
Practise newton-raphson iteration
Course mapping
These specification references show where the topic occurs. The questions cover only some parts of each topic.
- 7367 · core · J Numerical methods: One Newton-Raphson iteration
- H645 · Y434 · Numerical methods: One Newton-Raphson iteration
- H635 · Y414 · Numerical methods: One Newton-Raphson iteration
Next practice: Bisection and root brackets.