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author:

Zhang, Jinghua (Zhang, Jinghua.) [1] | Liu, Fawang (Liu, Fawang.) [2] | Lin, Zeng (Lin, Zeng.) [3] | Anh, Vo (Anh, Vo.) [4]

Indexed by:

EI

Abstract:

In this paper, we consider a multi-term time-fractional Burgers’ fluid model (MT-TFBFM). The analytical solution of MT-TFBFM is obtained by the method of separation of variables. We present a unified numerical scheme by virtue of the weighted shifted Grünwald difference (WSGD) scheme in time and Legendre spectral method in space. Especially, the corrected weighted shifted Grünwald difference (CWSGD) scheme is utilized to improve the convergence accuracy. Three examples are given to illustrate the stability, accuracy and effectiveness of the proposed numerical scheme. © 2019 Elsevier Inc.

Keyword:

Numerical methods Spectroscopy

Community:

  • [ 1 ] [Zhang, Jinghua]School of Information and Statistics, Guangxi University of Finance and Economics, Nanning; 530003, China
  • [ 2 ] [Liu, Fawang]School of Mathematical Sciences, Queensland University of Technology, GPO Box 2434, Brisbane; Queensland; 4001, Australia
  • [ 3 ] [Liu, Fawang]College of Mathematics and Computer Science, Fuzhou University, Fujian; 350116, China
  • [ 4 ] [Lin, Zeng]School of Mathematical Sciences, Xiamen University, Xiamen; Fujian; 361005, China
  • [ 5 ] [Anh, Vo]Faculty of Science, Engineering and Technology, Swinburne University of Technology, PO Box 218, Hawthorn; Victoria; 3122, Australia

Reprint 's Address:

  • [liu, fawang]school of mathematical sciences, queensland university of technology, gpo box 2434, brisbane; queensland; 4001, australia;;[liu, fawang]college of mathematics and computer science, fuzhou university, fujian; 350116, china

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Source :

Applied Mathematics and Computation

ISSN: 0096-3003

Year: 2019

Volume: 356

Page: 1-12

3 . 4 7 2

JCR@2019

3 . 5 0 0

JCR@2023

ESI HC Threshold:59

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 18

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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