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← Further Maths syllabus

SingaporeFurther Maths

Numerical Methods

4 dot points across 4 inquiry questions. Click any dot point for a focused answer with worked past exam questions where available.

How does rearranging an equation into the form x = g(x) give an iterative method, and what controls whether it converges?

How does the Newton-Raphson method find a root of an equation, and when does it succeed or fail?

How do the trapezium rule and Simpson's rule approximate a definite integral, and how accurate are they?

How does Euler's method step a differential equation forward numerically, and what limits its accuracy?