Abstract
A new class of stochastic finite difference methods for the solution of hyperbolic partial differential equations is introduced. They are monotonicity preserving, unconditionally stable and grid free. The numerical results presented show the convergence of these methods. They also evidence the simplicity, robustness and universality of the Monte Carlo approach.
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