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arXiv 2409.12422math.NAcond-mat.stat-mechcs.NAphysics.comp-ph
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变阶扩散方程的自适应差分方法

An Adaptive Difference Method for Variable-Order Diffusion Equations

Joaquín Quintana-Murillo, Santos Bravo Yuste

AI总结:

提出一种变阶分数阶时间次扩散方程的自适应有限差分方法,通过非均匀时间步长控制局部误差,在保持精度的同时显著提升计算效率。

摘要:

研究了一种用于Caputo形式的变阶分数阶时间次扩散方程的自适应有限差分格式。分数阶时间导数通过L1过程离散,但使用非均匀时间步长。这些时间步长的大小由自适应算法选择,以使局部误差保持在预设值附近,该值可任意选择。对于某些类型的问题,该自适应方法比相应的固定时间步长的常规方法快得多,同时将数值解的局部误差保持在预设值附近。这些发现与常数阶分数阶扩散方程的结果相似。

英文摘要:

An adaptive finite difference scheme for variable-order fractional-time subdiffusion equations in the Caputo form is studied. The fractional time derivative is discretized by the L1 procedure but using nonhomogeneous timesteps. The size of these timesteps is chosen by an adaptive algorithm in order to keep the local error bounded around a preset value, a value that can be chosen at will. For some types of problems this adaptive method is much faster than the corresponding usual method with fixed timesteps while keeping the local error of the numerical solution around the preset values. These findings turns out to be similar to those found for constant-order fractional diffusion equations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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