File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

장봉수

Jang, Bongsoo
Computational Mathematical Science Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Fast Second-order Numerical Method for Variable-order Caputo Fractional Differential Equations

Author(s)
Lee, JunseoJang, Bongsoo
Issued Date
2023-09-12
URI
https://scholarworks.unist.ac.kr/handle/201301/67751
Citation
IMACS
Abstract
In this work, we propose a fast and second-order numerical method for
solving the Caputo variable-order(VO) time fractional diffusion equation based
on a L2-1σ method [1] and “SBBP” algorithm [2]. For the Caputo VO function
α(t), the sum of exponential (SOE) calculation of the kernel function that is an
efficient algorithm to reduce computational complexity, requires approximating
the points and weights at every time step. Here we employ the shifted binary
block partition (SBBP) to decompose the integral in the derivative and approximate
the scaled kernel function in each sub-intervals by polynomials of degree r whose
computational complexity is O(rn log n). But it has a low convergence order of
O(Δt2−¯α), where ¯α = ||α(t)||∞. We propose a new L2-1σ that has a convergence
of O(Δt3−¯α) and apply it to approximate the Caputo variable-order(VO) time
fractional diffusion equation. The stability and the error analysis has been
proved. Several numerical results show the effectiveness of the proposed method
and demonstrate the accuracy and performance of the theory.
Publisher
IMACS2023 - 21st IMACS WORLD CONGRESS

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.