Monte-Carlo simulation of a stochastic differential equation

For solving higher dimensional diffusion equations with an inhomogeneous diffusion coefficient,Monte Carlo（MC） techniques are considered to be more effective than other algorithms, such as finite element method or finite difference method. The inhomogeneity of diffusion coefficient strongly limits t...

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Bibliographic Details
Published in:Plasma science & technology 2017-12, Vol.19 (12), p.6-14
Main Authors: ULLAH, Arif, KHAN, Majid, KAMRAN, M, KHAN, R, SHENG, Zhengmao
Format: Article
Language:English
Subjects:
Monte-Carlo simulation
numerical methods
stochastic differential equations
toroidal plasmas
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Summary:For solving higher dimensional diffusion equations with an inhomogeneous diffusion coefficient,Monte Carlo（MC） techniques are considered to be more effective than other algorithms, such as finite element method or finite difference method. The inhomogeneity of diffusion coefficient strongly limits the use of different numerical techniques. For better convergence, methods with higher orders have been kept forward to allow MC codes with large step size. The main focus of this work is to look for operators that can produce converging results for large step sizes. As a first step, our comparative analysis has been applied to a general stochastic problem.Subsequently, our formulization is applied to the problem of pitch angle scattering resulting from Coulomb collisions of charge particles in the toroidal devices.
ISSN:1009-0630
1009-0630
DOI:10.1088/2058-6272/aa8f3f