2022
DOI: 10.1142/s0218348x22501882
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An Insight on the (2 + 1)-Dimensional Fractal Nonlinear Boiti–leon–manna–pempinelli Equations

Abstract: With the aid of a new fractal derivative, the nonlinear Boiti–Leon–Manna–Pempinelli equation (NBLMPE) with nonsmooth boundary is explored. The variational principle of the fractal NBLMPE is successfully established by fractal wave transformation (FWT) and fractal semi-inverse method (SIM) and strong minimum condition of fractal NBLMPE is proven with the fractal Weierstrass theorem. Based on the two-scale transformation method (TSTM) and homogeneous equilibrium method (HBM), soliton-like solutions for the [Form… Show more

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Cited by 9 publications
(1 citation statement)
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“…Calculus is one of the branches of great importance, especially differential equations of various types, whether ordinary or partial. Fractional differential equations have recently emerged in many applications such as plasma physics, image processing, laser optics, biomedical engineering, viscoelasticity, hydrology, signal processing and control system 1 – 13 . Some of these equations do not have an analytical solution, so we resort to approximate solutions using distinct analytical methods such as: the adomain decomposition method 14 , the variational iteration method 15 , the homotopy method 16 18 , and the Gegenbauer wavelet method 19 .…”
Section: Introductionmentioning
confidence: 99%
“…Calculus is one of the branches of great importance, especially differential equations of various types, whether ordinary or partial. Fractional differential equations have recently emerged in many applications such as plasma physics, image processing, laser optics, biomedical engineering, viscoelasticity, hydrology, signal processing and control system 1 – 13 . Some of these equations do not have an analytical solution, so we resort to approximate solutions using distinct analytical methods such as: the adomain decomposition method 14 , the variational iteration method 15 , the homotopy method 16 18 , and the Gegenbauer wavelet method 19 .…”
Section: Introductionmentioning
confidence: 99%