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Super-fast algorithms for solving fields around grounding electrode using Markov Chains - Monte Carlo Method

机译:使用马尔可夫链求解接地电极周围的超快速算法 - Monte Carlo方法

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This paper describes solving of fields around grounding electrode using Markov Chains - Monte Carlo Method (MCMC). For systems with a very large number of elements and millions of equations which need to be solved, this method is often not applicable as it requires very long computation time. Therefore, it is necessary to improve existing algorithms and methods or develop new ones. The paper presents such attempt - development and application of Conjugate Gradient Method (CGM) mathematical model with Compressed Row Storage (CRS) format in solving fields around grounding electrode. For this, MCMC is used on two-dimensional model with set boundary conditions with the aim of rapid computation of very challenging problems. As an illustration of the proposed method possible application, calculations of thermal fields in the soil around grounding electrode during intensive wave of current are presented.
机译:本文介绍了使用马尔可夫链条 - 蒙特卡罗方法(MCMC)求解接地电极周围的田地。 对于具有非常大量元素的系统以及需要解决的数百万个等式,这种方法通常不适用于它需要很长的计算时间。 因此,有必要改进现有算法和方法或开发新的算法。 本文介绍了缀合物梯度法(CGM)数学模型的这种尝试和应用,在接地电极周围求解场的压缩行存储(CRS)格式。 为此,MCMC用于二维模型,具有设定边界条件,目的是快速计算非常具有挑战性的问题。 作为所提出的方法可能的应用,呈现了所应用的应用,呈现了在电流集约电流浪潮中的接地电极周围的土壤中的热场计算。

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