Publication | Closed Access
Random walk method for the two‐ and three‐dimensional Laplace, Poisson and Helmholtz's equations
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Citations
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References
2001
Year
Numerical AnalysisMethod Of Fundamental SolutionEngineeringPhysicsDiffusion ProcessesMonte Carlo MethodNumerical SimulationRandom Walk MethodItô FormulaStochastic AnalysisComputational MechanicsNumerical TreatmentStochastic Differential EquationThree‐dimensional LaplaceNumerical Method For Partial Differential EquationStochastic Modeling
Abstract The random walk method (RWM) is developed here for solving the Laplace, Poisson, and Helmholtz equations in two and three dimensions. The RWM is a local method, i.e. the solution at an arbitrary point can be determined without having to obtain the complete field solution. The method is based on the properties of diffusion processes, the Itô formula, the Dynkin formula, the Feynman–Kac functional, and Monte Carlo simulation. Simplicity, stability, accuracy, and generality are the main features of the proposed method. The RWK is inherently parallel and this fact has been fully exploited in this paper. Extensive numerical results have been presented in order to understand the various parameters involved in the method. Copyright © 2001 John Wiley & Sons, Ltd.
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