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Adaptive Solution Of The Master Equation In Low Dimensions

机译:低维主方程的自适应解

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The master equation satisfied by a probability density function is solved on a grid with a cell size h > 1. A modified master equation is derived for the time development of the average of the density in the larger cells. The accuracy of the approximation is studied and the total probability is conserved. Based on an estimate of the discretization error, the cell size is dynamically adapted to the solution. The method is suitable for a few space dimensions and is tested on a model for the migration of people. Substantial savings in memory requirements and CPU times are reported in numerical experiments.
机译:在单元大小h> 1的网格上求解由概率密度函数满足的主方程。为较大单元中密度平均值的时间发展导出了一个改进的主方程。研究了近似的准确性,并且保留了总概率。基于离散化误差的估计,像元大小可以动态地适应解决方案。该方法适用于一些空间尺寸,并在用于人员迁移的模型上进行了测试。数值实验报告了在内存需求和CPU时间方面的大量节省。

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