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International Conference on Computational and Information Science

CIS 2004: Computational and Information Science pp 57–63Cite as

The Half-Sweep Iterative Alternating Decomposition Explicit (HSIADE) Method for Diffusion Equation

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

Abstract

The primary goal of this paper is to apply the Half-Sweep Iterative Alternating Decomposition Explicit (HSIADE) method for solving one-dimensional diffusion problems. The formulation of the HSIADE method is also derived. Some numerical experiments are conducted that to verify the HSIADE method is more efficient than the Full-Sweep method.

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References

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Author information

Authors and Affiliations

  1. School of Science and Technology, Universiti Malaysia Sabah, Locked Bag 2073, 88999, Kota Kinabalu, Sabah

    J. Sulaiman

  2. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor D.E.

    M. K. Hasan

  3. Department of Communication Tech. and Network, Faculty of Computer Science and Info. Tech., Universiti Putra Malaysia, 43400, Serdang, Selangor D.E., Malaysia

    M. Othman

Authors
  1. J. Sulaiman
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  2. M. K. Hasan
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  3. M. Othman
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Editor information

Editors and Affiliations

  1. School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China

    Jun Zhang

  2. College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China

    Ji-Huan He

  3. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sulaiman, J., Hasan, M.K., Othman, M. (2004). The Half-Sweep Iterative Alternating Decomposition Explicit (HSIADE) Method for Diffusion Equation. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_10

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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