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Direct simulation of the infinitesimal dynamics of semi-discrete approximations for convection-diffusion-reaction problems

机译:对流扩散反应问题的半离散近似的无穷小动力学的直接模拟

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In this paper a scheme for approximating solutions of convection-diffusion-reaction equations by Markov jump processes is studied. The general principle of the method of lines reduces evolution partial differential equations to semi-discrete approximations consisting of systems of ordinary differential equations. Our approach is to use for this resulting system a stochastic scheme which is essentially a direct simulation of the corresponding infinitesimal dynamics. This implies automatically the time adaptivity and, in one space dimension, stable approximations of diffusion operators on non-uniform grids and the possibility of using moving cells for the transport part, all within the framework of an explicit method. We present several results in one space dimension including free boundary problems, but the general algorithm is simple, flexible and on uniform grids it can be formulated for general evolution partial differential equations in arbitrary space dimensions.
机译:本文研究了一种通过马尔可夫跳跃过程近似求解对流扩散反应方程组的方案。线法的一般原理将演化偏微分方程简化为由常微分方程组组成的半离散近似。我们的方法是将随机方案用于该结果系统,该方案实质上是对相应无限小动力学的直接仿真。这自动暗示了时间适应性,并且在一个空间维度上,隐含了非均匀网格上扩散算子的稳定近似值,并且有可能在显式方法的框架内将移动单元用作运输部分。我们在一个包含自由边界问题的空间维度上给出了一些结果,但是通用算法简单,灵活,并且在均匀网格上可以针对任意空间维度中的一般演化偏微分方程制定公式。

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