数学
正交(天文学)
期限(时间)
离散化
数学分析
平滑的
应用数学
卷积(计算机科学)
计算机科学
统计
物理
量子力学
机器学习
人工神经网络
电气工程
工程类
作者
Jiankang Shi,Minghua Chen
摘要
Abstract. Anomalous diffusion is often modelled in terms of the subdiffusion equation, which can involve a weakly singular source term. For this case, many predominant time-stepping methods, including the correction of high-order backward differentiation formula (BDF) schemes [B. Jin, B. Y. Li, and Z. Zhou, SIAM J. Sci. Comput., 39 (2017), pp. A3129–A3152], may suffer from a severe order reduction. To fill in this gap, we propose a smoothing method for time-stepping schemes, where the singular term is regularized by using an [Formula: see text]-fold integral-differential calculus and the equation is discretized by the [Formula: see text]-step BDF convolution quadrature, called the ID[Formula: see text]-BDF[Formula: see text] method. We prove that the desired [Formula: see text]th-order convergence can be recovered even if the source term is weakly singular and the initial data is not compatible. Numerical experiments illustrate the theoretical results.
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