Runge-Kutta Solver (RK4)

RK4 ODE solver

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About Runge-Kutta Solver (RK4)

A 4th-order Runge-Kutta (RK4) solver for initial value problems dy/dx = f(x,y). Computes k₁, k₂, k₃, k₄ at each step. Shows iteration table with intermediate values. Compare with Euler method. Select from preset ODEs. All calculations are client-side. Essential for numerical ODE solving.

Runge-Kutta Solver (RK4) Features

  • RK4 method
  • k-values
  • Step table
  • Euler compare
  • Presets
Runge-Kutta 4: k₁=hf(xₙ,yₙ), k₂=hf(xₙ+h/2,yₙ+k₁/2), k₃=hf(xₙ+h/2,yₙ+k₂/2), k₄=hf(xₙ+h,yₙ+k₃). yₙ₊₁ = yₙ+(k₁+2k₂+2k₃+k₄)/6. Error: O(h⁵) per step, O(h⁴) global. The workhorse of ODE solvers.

How to Use

Set up the IVP:

  • dy/dx=f(x,y): Choose ODE
  • y(x₀)=y₀: Initial condition
  • h: Step size

The k-Values

  • k₁: slope at start
  • k₂: slope at midpoint using k₁
  • k₃: slope at midpoint using k₂
  • k₄: slope at end using k₃
  • Weighted average: (1+2+2+1)/6

vs Euler

RK4 is O(h⁴) globally vs Euler's O(h). With h=0.1, RK4 gives ~10⁻⁴ error where Euler gives ~10⁻¹. RK4 needs 4 function evaluations per step vs Euler's 1.

Step-by-Step Instructions

  1. 1Select an ODE.
  2. 2Set initial condition.
  3. 3Choose step size.
  4. 4View k-values.
  5. 5Compare with exact.

Runge-Kutta Solver (RK4) — Frequently Asked Questions

Why is RK4 so popular?+

It's the sweet spot: 4th-order accuracy with only 4 function evaluations per step. Higher-order RK methods need disproportionately more evaluations. RK4 balances accuracy and computational cost perfectly.

When should I not use RK4?+

For stiff equations (widely varying time scales), use implicit methods (backward Euler, BDF). For very high accuracy, use adaptive step-size methods (RK45, Dormand-Prince). For Hamiltonian systems, use symplectic integrators.

What does O(h⁴) mean practically?+

Halving the step size reduces global error by factor 16 (2⁴). With h=0.01, expect ~10⁻⁸ error. With h=0.001, expect ~10⁻¹² error. Much more efficient than Euler's O(h) where halving only halves the error.

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