The Method of Lines Combined with Chebyshev Spectral Method respect to weighted residual (Collocation Points) for Space-Time fractional diffusion equation is considered, the direct way will be used for approximating Time fractional and the expiation of shifted first kind of Chebyshev polynomial will be used to approximate unknown functions, the structure of the systems and the matrices will be fund, the algorithm steps is illustrated, The tables and figures of the results of the implementation by using this method at different values of fractional order will be shown, with the helping of programs of matlab.
Published in | Applied and Computational Mathematics (Volume 3, Issue 6) |
DOI | 10.11648/j.acm.20140306.17 |
Page(s) | 330-336 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2014. Published by Science Publishing Group |
Space-Time Fractional Diffusion Equation, Chebyshev-Spectral Method, Finite Difference Method
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APA Style
I. K. Youssef, A. M. Shukur. (2014). The Line Method Combined with Spectral Chebyshev for Space-Time Fractional Diffusion Equation. Applied and Computational Mathematics, 3(6), 330-336. https://doi.org/10.11648/j.acm.20140306.17
ACS Style
I. K. Youssef; A. M. Shukur. The Line Method Combined with Spectral Chebyshev for Space-Time Fractional Diffusion Equation. Appl. Comput. Math. 2014, 3(6), 330-336. doi: 10.11648/j.acm.20140306.17
AMA Style
I. K. Youssef, A. M. Shukur. The Line Method Combined with Spectral Chebyshev for Space-Time Fractional Diffusion Equation. Appl Comput Math. 2014;3(6):330-336. doi: 10.11648/j.acm.20140306.17
@article{10.11648/j.acm.20140306.17, author = {I. K. Youssef and A. M. Shukur}, title = {The Line Method Combined with Spectral Chebyshev for Space-Time Fractional Diffusion Equation}, journal = {Applied and Computational Mathematics}, volume = {3}, number = {6}, pages = {330-336}, doi = {10.11648/j.acm.20140306.17}, url = {https://doi.org/10.11648/j.acm.20140306.17}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20140306.17}, abstract = {The Method of Lines Combined with Chebyshev Spectral Method respect to weighted residual (Collocation Points) for Space-Time fractional diffusion equation is considered, the direct way will be used for approximating Time fractional and the expiation of shifted first kind of Chebyshev polynomial will be used to approximate unknown functions, the structure of the systems and the matrices will be fund, the algorithm steps is illustrated, The tables and figures of the results of the implementation by using this method at different values of fractional order will be shown, with the helping of programs of matlab.}, year = {2014} }
TY - JOUR T1 - The Line Method Combined with Spectral Chebyshev for Space-Time Fractional Diffusion Equation AU - I. K. Youssef AU - A. M. Shukur Y1 - 2014/12/31 PY - 2014 N1 - https://doi.org/10.11648/j.acm.20140306.17 DO - 10.11648/j.acm.20140306.17 T2 - Applied and Computational Mathematics JF - Applied and Computational Mathematics JO - Applied and Computational Mathematics SP - 330 EP - 336 PB - Science Publishing Group SN - 2328-5613 UR - https://doi.org/10.11648/j.acm.20140306.17 AB - The Method of Lines Combined with Chebyshev Spectral Method respect to weighted residual (Collocation Points) for Space-Time fractional diffusion equation is considered, the direct way will be used for approximating Time fractional and the expiation of shifted first kind of Chebyshev polynomial will be used to approximate unknown functions, the structure of the systems and the matrices will be fund, the algorithm steps is illustrated, The tables and figures of the results of the implementation by using this method at different values of fractional order will be shown, with the helping of programs of matlab. VL - 3 IS - 6 ER -