Numerical Methods & Scientific Computing

Implicit Euler ODE Solver

Use backward, or implicit, Euler for a first-order initial-value problem. Unlike forward Euler, the new value appears inside f at xₙ₊₁, so each step requires a nonlinear solve.

Numerical ODE workbench

Implicit Euler

1st order, A-stable. Solve first-order initial-value problems of the form y′ = f(x,y).

Expression syntax: use explicit multiplication such as 2*y. Supported functions include sin, cos, tan, exp, ln, sqrt and abs.

How this tool works

Implicit Euler solves yₙ₊₁ = yₙ + h f(xₙ₊₁,yₙ₊₁). The calculator uses Newton iteration with a numerically estimated derivative for the scalar nonlinear equation.

Example

For y′ = −25y, backward Euler remains stable for step sizes that can make forward Euler oscillate or diverge, although it is only first-order accurate.

Common questions

Why use a first-order implicit method?

Backward Euler is A-stable and strongly damps rapidly decaying modes, making it a useful baseline for stiff equations.

Can Newton iteration fail?

Yes. Strong nonlinearities or a large step can make the implicit equation difficult to solve. Reducing h usually improves convergence.