Journal
JOURNAL OF SCIENTIFIC COMPUTING
Volume 91, Issue 2, Pages -Publisher
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10915-022-01820-z
Keywords
Variable-order time-fractional diffusion equation; Hidden-memory; Finite element method; Optimal-order 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]
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In this study, a fast finite element scheme is proposed for a hidden-memory variable-order time-fractional diffusion equation. By approximating the hidden-memory variable-order fractional derivative, the computational cost of generating coefficients is reduced. Error estimates for the scheme are proven using techniques from the analysis of L1 methods. Additionally, a fast divide and conquer algorithm is introduced to reduce the complexity of solving linear systems.
We investigate a fast finite element scheme to a hidden-memory variable-order time-fractional diffusion equation. Different from the traditional LI methods, a fast approximation to the hidden-memory variable-order fractional derivative is derived to reduce the computational cost of generating coefficients from O(N-2) to O(N log N), where N refers to the number of time steps. We then develop different techniques from the analysis of L1 methods to prove error estimates for the corresponding fast fully-discrete finite element scheme. Furthermore, a fast divide and conquer algorithm is proposed to reduce the complexity of solving the linear systems from O(M N-2) to O(M N log(2 )N) where M stands for the spatial degree of freedom. Numerical experiments are presented to substantiate the theoretical results.
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