Solving diffusion equations usually forces a painful choice: use a simple explicit method and be forced to take tiny time steps, or use an implicit method that demands solving large linear systems every time step. Alternating Direction Explicit (ADE) methods break this trade‑off. They are explicit — no matrix inversions — yet they remain stable for any time step size, making them especially attractive for financial option pricing and parallel computing.