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A fast characteristic finite difference method for fractional advection-diffusion equations

机译:分数阶对流扩散方程的快速特征有限差分法

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Fractional advection-diffusion equations provide an adequate and accurate description of the movement of solute in an aquifer. However, there are major obstacles that restrict their applications. From a modeling viewpoint, one of the major limitations in the application of fractional advection-diffusion equations to hydrology is the poor predictability of model parameters [27]. From a computational view point, one of the major limitations in numerical solution of fractional advection-diffusion equations in multiple space dimensions is that they generate full coefficient matrices in their numerical approximations, which require O(N~3) of computational cost and O(N~2) storage for a problem of size N. This paper presents a preliminary step towards the efficient numerical solution of fractional advection-diffusion equations. In this paper we develop a fast characteristic finite difference method for the efficient solution of space-fractional transient advection-diffusion equations in one space dimension. This method generates more accurate solutions than standard implicit methods even if much larger time steps and spatial meshes are used, leading to a discrete system with a greatly reduced size. Furthermore, we explore the structure of the coefficient matrix to come up with an efficient iterative solver which requires only O(N) account of storage and roughly O(NlogN) account of computational cost. Our preliminary numerical example runs for some simple one dimensional model problems seem to indicate the following observations: to achieve the same accuracy, the new method uses no more than one thousandth of CPU and about one thousandth of the storage used by the standard method. This demonstrates the strong potential of the method.
机译:分数阶对流扩散方程式提供了对含水层中溶质运动的充分而准确的描述。但是,存在限制其应用的主要障碍。从建模的观点来看,分数对流扩散方程在水文学中的应用的主要限制之一是模型参数的可预测性差[27]。从计算角度来看,分数维对流扩散方程在多个空间维数值解中的主要限制之一是它们在数值逼近中生成全系数矩阵,这需要O(N〜3)的计算成本和O( N〜2)存储一个大小为N的问题。本文为分数阶对流扩散方程的有效数值解提供了一个初步步骤。本文针对一维空间分形瞬态对流扩散方程的有效解,开发了一种快速特征有限差分方法。即使使用更大的时间步长和空间网格,此方法也比标准隐式方法生成更准确的解决方案,从而导致离散系统的尺寸大大减小。此外,我们探索系数矩阵的结构,以提出一种高效的迭代求解器,该求解器仅需要O(N)的存储帐户,而大约需要O(NlogN)的计算成本。我们针对一些简单的一维模型问题的初步数值示例似乎表明了以下观察结果:为了达到相同的精度,新方法使用的CPU不超过千分之一,标准方法使用的存储量不超过千分之一。这证明了该方法的强大潜力。

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