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A numerical investigation of time-fractional modified Fornberg–Whitham equation for analyzing the behavior of water waves

Author

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  • Ray, S. Saha
  • Gupta, A.K.

Abstract

In this paper, a new wavelet method based on the Hermite wavelet expansion together with operational matrices of fractional integration and derivative of wavelet functions is proposed to solve time-fractional modified Fornberg–Whitham (mFW) equation. The approximate solutions of time fractional modified Fornberg–Whitham equation which are obtained by Hermite wavelet method are compared with the exact solutions as well as the solutions obtained by optimal homotopy asymptotic method (OHAM). The present numerical scheme is quite simple, effective and expedient for obtaining numerical solution of fractional modified Fornberg–Whitham equation.

Suggested Citation

  • Ray, S. Saha & Gupta, A.K., 2015. "A numerical investigation of time-fractional modified Fornberg–Whitham equation for analyzing the behavior of water waves," Applied Mathematics and Computation, Elsevier, vol. 266(C), pages 135-148.
    • Handle: RePEc:eee:apmaco:v:266:y:2015:i:c:p:135-148
    DOI: 10.1016/j.amc.2015.05.045
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    Cited by:

    1. Usman, Muhammad & Hamid, Muhammad & Liu, Moubin, 2021. "Novel operational matrices-based finite difference/spectral algorithm for a class of time-fractional Burger equation in multidimensions," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    2. Syed Zulqadar Hassan & Hui Li & Tariq Kamal & Uğur Arifoğlu & Sidra Mumtaz & Laiq Khan, 2017. "Neuro-Fuzzy Wavelet Based Adaptive MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 10(3), pages 1-16, March.

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