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Temporal Convergence of Coarse Mesh Finite Difference Accelerated Monte Carlo

机译:粗网格有限差分加速蒙特卡洛的时间收敛

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For the test problem considered, the CMFD methodrnwith the Crank-Nicholson discretization is more accuraternthan both IMC and the Backward Euler discretizedCMFD method for all refinements. In fact, with only tworntime steps it is more accurate than the 32 time step IMCrnsolution and the 8 time step solution using the BackwardrnEuler method. The refinement of each of the methodsrnshows an overall temporal convergence rate is first order.rnThe CMFD-Crank method shows a slightly larger rate ofrnconvergence than the CMFD-Euler discretization. Thernconvergence of the IMC method appears to be slightlyrngreater than both the CMFD approaches though it is lessrnaccurate than both.
机译:对于考虑的测试问题,在所有改进中,使用Crank-Nicholson离散化的CMFD方法比IMC和Backward Euler离散化的CMFD方法更准确。实际上,只有两个时间步长,它比使用BackwardrnEuler方法的32个时间步长IMCrnsolution和8个时间步长的解决方案更为精确。每种方法的细化表明总的时间收敛速度是一阶的。CMFD-Crank方法的收敛速度比CMFD-Euler离散化略大。 IMC方法的收敛性似乎比两种CMFD方法略高,尽管比两种方法都不太准确。

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