Journal
COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 108, Issue -, Pages 24-32Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2021.12.016
Keywords
Variably distributed-order time fractional diffusion equation; Finite element method; Error estimate; Divide and conquer
Categories
Funding
- National Natural Science Foundation of China [11971272, 12001337]
- Natural Science Foundation of Shandong Province [ZR2019BA026]
- ARO MURI Grant [W911NF-15-1-0562]
- National Science Foundation [DMS-2012291]
- China Postdoctoral Science Foundation [2021TQ0017, 2021M700244]
- International Postdoctoral Exchange Fellowship Program (Talent Introduction Program) [YJ20210019]
Ask authors/readers for more resources
A fast numerical method is developed for a variably distributed-order time-fractional diffusion equation modeling anomalous diffusion with uncertainties in inhomogeneous medium. The method has the same accuracy as traditional schemes but requires less computations and storage. Additionally, a fast divide and conquer algorithm is designed to reduce computational complexity when solving the linear system.
We develop a fast numerical method for a variably distributed-order time-fractional diffusion equation modeling the anomalous diffusion with uncertainties in inhomogeneous medium. Different from the analysis techniques of the commonly-used schemes for time-fractional problems like L1 methods, error estimates are proved based on a novel discretization coefficient splitting. The proposed method has the same accuracy as traditional schemes, while only O(N(3/2)logN) computations and O(N logN) storage are required for generating and storing temporal discretization coefficients, where.. refers to the number of time steps. We further design a corresponding fast divide and conquer algorithm to reduce the computational complexity of solving the linear system from O(MN2) of the time-stepping method to O(MN log(3)N) with.. being the number of spatial nodes. Numerical experiments are presented to substantiate the theoretical results.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available