轴对称齐次域拉普拉斯方程的马尔可夫链蒙特卡罗解

Adebowale E. Shadare, M. Sadiku, S. Musa
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引用次数: 1

摘要

随着当今电磁问题的日益复杂,减少对称域尺寸、内存需求、计算时间和错误可能性的需求和机会也越来越多。在最近几种相互竞争的计算方法中,很少或没有迭代的方法通常是首选的,因为它们往往消耗较少的计算机内存资源和时间。本文介绍了简单有效的马尔可夫链蒙特卡罗(MCMC)方法在轴对称齐次域拉普拉斯方程求解中的应用。考虑了轴对称齐次问题的两种情况。给出了解析解、有限差分解和MCMC解的仿真结果。MCMC方法得到的结果与解析解和有限差分解一致。然而,MCMC方法具有实现简单、快速的优点。
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Markov Chain Monte Carlo Solution of Laplace’s Equation in Axisymmetric Homogeneous Domain
With increasing complexity of today’s electromagnetic problems, the need and opportunity to reduce domain sizes, memory requirement, computational time and possibility of errors abound for symmetric domains. With several competing computational methods in recent times, methods with little or no iterations are generally preferred as they tend to consume less computer memory resources and time. This paper presents the application of simple and efficient Markov Chain Monte Carlo (MCMC) method to the Laplace’s equation in axisymmetric homogeneous domains. Two cases of axisymmetric homogeneous problems are considered. Simulation results for analytical, finite difference and MCMC solutions are reported. The results obtained from the MCMC method agree with analytical and finite difference solutions. However, the MCMC method has the advantage that its implementation is simple and fast.
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