A domain decomposition method for time fractional reaction-diffusion equation.

The computational complexity of one-dimensional time fractional reaction-diffusion equation is O(N²M) compared with O(NM) for classical integer reaction-diffusion equation. Parallel computing is used to overcome this challenge. Domain decomposition method (DDM) embodies large potential for paralleli...

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Publicado en:Scientific World Journal pp. 681707 - 681708
Autores principales: Gong, Chunye, Bao, Weimin, Tang, Guojian, Jiang, Yuewen, Liu, Jie
Formato: research Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2014
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      pub: Wiley-Blackwell
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        atl: A domain decomposition method for time fractional reaction-diffusion equation.
      aug:
        au:
          Gong, Chunye
          Bao, Weimin
          Tang, Guojian
          Jiang, Yuewen
          Liu, Jie
        affil: College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China ; Science and Technology on Space Physics Laboratory, Beijing 100076, China ; School of Computer Science, National University of Defense Technology, Changsha 410073, China.
      sug:
        subj:
          Algorithms
          Mathematics
          Models, Theoretical
          Reproducibility of Results
      ab: The computational complexity of one-dimensional time fractional reaction-diffusion equation is O(N²M) compared with O(NM) for classical integer reaction-diffusion equation. Parallel computing is used to overcome this challenge. Domain decomposition method (DDM) embodies large potential for parallelization of the numerical solution for fractional equations and serves as a basis for distributed, parallel computations. A domain decomposition algorithm for time fractional reaction-diffusion equation with implicit finite difference method is proposed. The domain decomposition algorithm keeps the same parallelism but needs much fewer iterations, compared with Jacobi iteration in each time step. Numerical experiments are used to verify the efficiency of the obtained algorithm.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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