Newton's Method Solver

Iterative root finding

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About Newton's Method Solver

A Newton's method (Newton-Raphson) root-finding calculator. Enter a function and initial guess to iteratively approximate roots using xₙ₊₁ = xₙ − f(xₙ)/f′(xₙ). Shows iteration table with convergence, error at each step, and supports common functions. All calculations are client-side. Essential for numerical analysis, engineering, and applied mathematics.

Newton's Method Solver Features

  • 6 functions
  • Iteration table
  • Convergence
  • Error tracking
  • Max 50 iters
Newton's method finds roots by iterating xₙ₊₁ = xₙ − f(xₙ)/f′(xₙ). Starting from an initial guess x₀, each step uses the tangent line to approximate the root. Converges quadratically when near a root. May fail if f′(xₙ) = 0 or the initial guess is poor.

How to Use

Select a function and initial guess:

  • Function: Choose from presets
  • x₀: Initial guess
  • Iterations: Watch convergence

Convergence

  • Quadratic convergence near simple roots
  • Linear near repeated roots
  • May diverge for bad initial guesses

Why Derivatives?

The derivative f′(x) gives the tangent slope. The tangent line crosses zero at xₙ − f(xₙ)/f′(xₙ), providing the next approximation.

Step-by-Step Instructions

  1. 1Select a function.
  2. 2Enter initial guess x₀.
  3. 3Set tolerance.
  4. 4View iteration table.
  5. 5Check convergence.

Newton's Method Solver — Frequently Asked Questions

When does Newton's method fail?+

It fails when f′(xₙ) = 0 (horizontal tangent), when iterations oscillate, or when the initial guess is too far from the root. Always check convergence.

What is quadratic convergence?+

The number of correct digits roughly doubles each iteration. If you have 2 correct digits, next step gives ~4, then ~8. Much faster than linear methods.

How do I choose a good initial guess?+

Graph the function first. Choose x₀ near where f(x) crosses zero. Avoid points where f′(x) is small or zero.

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