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For Students · Newton's Method

Newton's Method for a cellular automaton

Built for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition. Simulate a cellular automaton live below — adjust the inputs and watch it respond, right in your browser.

Newton's Method VisualizerLive

root finding · tangent iterations

Controls

f(x)

Newton's method slides down each tangent line to the x-axis, homing in on a root.

Presets

Start x₀

▶ Run in Python

Data Inspector

Root2.094551

Iterations6

Convergencequadratic

Governing equation

x_{n + 1} = x_{n} - \frac{f ( x _{n} )}{f ^{'} ( x _{n} )}, x_{0} = 3, x_{⋆} \approx 2.0946

Reading this result: Starting at x0 = 3, Newton reached x ≈ 2.094551 in 6 steps. This is a simple root where f'(x) is well away from zero, so the error roughly squares each step (quadratic convergence) — the number of correct digits doubles per iteration.

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Frequently asked questions

Is this good for students?: Yes — this version of "Newton's Method for a cellular automaton" is framed for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.