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Modified wavelet method for solving multitype variable-order fractional partial differential equations generated from the modeling of phenomena

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Abstract

The aim of this paper is to introduce a new wavelet method for presenting approximate solutions of multitype variable-order (VO) fractional partial differential equations arising from the modeling of phenomena. In specific, this paper focuses on the numerical solution of the VO-fractional mobile-immobile advection-dispersion equation, Klein Gordon equation and Burgers equation. These equations are converted into a system of algebraic equations with the assistance of the bivariate Genocchi wavelet functions, their operational matrices, and the variable-order fractional Caputo derivative operator. Also, we present a new technique to get the operational matrix of integration and VO-fractional derivative. The modified operational matrices for solving the proposed equations are powerful and effective. So that, the accuracy of these matrices directly affects the implementation process. Finally, we consider numerical examples to confirm the superiority of the scheme, and for each example, exhibit the results through graphs and tables.

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Acknowledgements

This work is supported by the National Elite Foundation and Alzahra University. We express our sincere thanks to the anonymous referees for valuable suggestions that improved the final manuscript.

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Authors and Affiliations

  1. Department of Applied Mathematics, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran

    Haniye Dehestani & Yadollah Ordokhani

  2. Department of Mathematics and Statistics, Mississippi State University, Starkville, MS, 39762, USA

    Mohsen Razzaghi

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  1. Haniye Dehestani
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  2. Yadollah Ordokhani
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  3. Mohsen Razzaghi
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All authors contributed equally and significantly in writing this paper. Also, all authors read and approved the final manuscript.

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Correspondence to Yadollah Ordokhani.

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Dehestani, H., Ordokhani, Y. & Razzaghi, M. Modified wavelet method for solving multitype variable-order fractional partial differential equations generated from the modeling of phenomena. Math Sci 16, 343–359 (2022). https://doi.org/10.1007/s40096-021-00425-1

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  • DOI: https://doi.org/10.1007/s40096-021-00425-1

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