Numerical methods find approximate solutions when exact methods fail. A-Level covers change of sign, iteration, Newton-Raphson, and the trapezium rule.
Change of Sign
If and have opposite signs and is continuous, there's a root between and .
Newton-Raphson Method
Converges quickly but can fail with poor starting point or .
Example
. . .
Converges to .
The Trapezium Rule
where .
When It Works Well
Better with more strips. Overestimates for concave-up curves, underestimates for concave-down.
Practice Problems
- Show has a root between 1 and 2.
- Use Newton-Raphson on with .
- Use the trapezium rule with 4 strips to estimate .
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Key Takeaways
Sign change: proves existence of a root.
Newton-Raphson: fast convergence, needs .
Trapezium rule: approximates definite integrals.
More strips/iterations → better accuracy.
