PPolySim OS

Root Finding

Solve f(x) = 0, one geometric step at a time. Watch Newton–Raphson ride the tangent, bisection squeeze a bracket, and the secant method draw chords to the crossing.

Root Finding StudioLive

Controls

Function

Method

Solve f(x) = 0. Watch the method step toward the root — Newton rides the tangent, bisection halves the bracket, secant draws chords.

Presets

▶ Run in Python

Data Inspector

MethodNewton–Raphson
Step0/4
Estimate x2.500000
|f(x)|4.25e+0
Iters to 1e-64
Order≈ 2 (quadratic)

Governing equation

x02.500000
Reading this result: Newton–Raphson converged to x ≈ 2.500000 in 4 iterations (|f(x)| < 1e-6). Near a simple root Newton roughly doubles the number of correct digits each step (quadratic convergence).

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How it works

Root finding locates where a function crosses zero. Newton–Raphson follows the tangent line at the current guess down to the x-axis and converges quadratically near a simple root, but a small derivative or a poor start can send it flying. Bisection needs only a sign change on [a, b] and halves the bracket every step — slow but guaranteed. The secant method replaces Newton's derivative with a finite-difference slope through the last two points, converging superlinearly (order ≈ 1.618) with no calculus required. Pick a preset function, choose a method, and scrub the Step slider to see each iterate.

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Frequently asked questions

Is this Newton bisection root finding tool really free?▾
Yes. Root Finding runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?▾
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?▾
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?▾
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.