Divide-and-Conquer Solver in Tensor-Train Format for d-Dimensional Time-Space Fractional Diffusion Equations-Reference-Cited by-同舟云学术

Divide-and-Conquer Solver in Tensor-Train Format for d-Dimensional Time-Space Fractional Diffusion Equations

Published:2023-06-05 Issue:1 Volume:96 Page:
ISSN:0885-7474
Container-title:Journal of Scientific Computing
language:en
Short-container-title:J Sci Comput

Author:

Huang Yun-Chi,Chou Lot-Kei,Lei Siu-Long

Funder

Universidade de Macau

Shantou University

Fundo para o Desenvolvimento das Ciências e da Tecnologia

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,General Engineering,Theoretical Computer Science,Software,Applied Mathematics,Computational Mathematics,Numerical Analysis

Link

https://link.springer.com/content/pdf/10.1007/s10915-023-02259-6.pdf

Reference48 articles.

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2. Breiten, T., Simoncini, V., Stoll, M.: Low-rank solvers for fractional differential equations. Electron. Trans. Numer. Anal. 45, 107–132 (2016). https://doi.org/10.17617/2.2270973

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4. Chen, S., Liu, F., Zhuang, P., Anh, V.: Finite difference approximations for the fractional Fokker–Planck equation. Appl. Math. Model. 33(1), 256–273 (2009). https://doi.org/10.1016/j.apm.2007.11.005

5. Chou, L.K., Lei, S.L.: Tensor-train format solution with preconditioned iterative method for high dimensional time-dependent space-fractional diffusion equations with error analysis. J. Sci. Comput. 80(3), 1731–1763 (2019). https://doi.org/10.1007/s10915-019-00994-3