Root Approximator (Nth Root Calculator)

Approximate ⁿ√x with Newton–Raphson, bisection, or the Babylonian method, and see the iteration steps.

Root Approximator (Nth Root Calculator)

Calculate nth roots using various numerical methods including Newton-Raphson, Bisection, and Babylonian methods with step-by-step solutions.

Quick Examples

Square root of 16:2√16 = 4
Cube root of 27:3√27 = 3
4th root of 81:4√81 = 3
5th root of 32:5√32 = 2

Method Information

Fast convergence, requires derivative calculation

What an nth root is

If y = ⁿ√x, then yⁿ = x. Easy when x is a perfect power (√16 = 4, ∛27 = 3). Otherwise you iterate toward y.

  • Newton–Raphson — usually fastest; good default
  • Bisection — slower, but reliable if you bracket a root
  • Babylonian — classic square-root iteration; easy to follow by hand

Method notes

Newton for √a averages the current guess with a/guess. Bisection halves an interval where the function changes sign. Pick precision (decimal places) and stop when successive guesses agree within that tolerance.

Odd roots of negatives are fine (∛(−8) = −2). Even roots of negatives need complex numbers — not covered here.

Frequently Asked Questions

Which method should I pick?

Newton–Raphson for speed. Bisection when you want guaranteed progress inside an interval. Babylonian if you care about the historical square-root algorithm.

Negative radicands?

Odd roots: yes. Even roots: not as real numbers in this tool.

Why do methods disagree slightly?

Rounding and stopping criteria. Given enough iterations they meet within your precision setting.

What does "iterations" mean?

How many update steps ran before the stop rule fired. Fewer usually means faster convergence.

Very large numbers?

JavaScript floats lose precision beyond ~15–17 significant digits. Fine for most classroom and engineering cases.

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