2023
DOI: 10.1142/s0217979223502284
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On dynamical behavior for approximate solutions sustained by nonlinear fractional damped Burger and Sharma–Tasso–Olver equation

Abstract: In this paper, we study a nonlinear fractional Damped Burger and Sharma–Tasso–Olver equation using a new novel technique, called homotopy perturbation transform method (FHPTM). There are three examples used to demonstrate and validate the proposed algorithm’s efficiency. This nonlinear model depicts nonlinear wave processes in fluid dynamics, ecology, solid-state physics, shallow-water wave propagation, optical fibers, fluid mechanics, plasma physics, and other applied science, engineering, and mathematical ph… Show more

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Cited by 3 publications
(4 citation statements)
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“…In this section, the author provides definitions of important terms and concepts related to the topic being studied [3][4].…”
Section: Preliminariesmentioning
confidence: 99%
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“…In this section, the author provides definitions of important terms and concepts related to the topic being studied [3][4].…”
Section: Preliminariesmentioning
confidence: 99%
“…The Homotopy perturbation transform method (HPTM) gives a straightforward explanation for changing and managing the series (63) (64) (65) solution's convergence. It is worth noting that the proposed method might also be utilised to solve the TFFWEs, which incorporates Caputo-Fabrizio fractional derivative (CFFD) of order 0 < α ≤ 1, as in the HPTM [3][4]. The investigation has shown that the offered methodologies and the problem's exact answers are most closely related.…”
Section: Conclusion and Applicationsmentioning
confidence: 99%
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“…The first contribution was provided by Daniel Bernoulli [1], and the canonical susceptible-infected-recovered (SIR) model was proposed by Kermack and McKendrick [2]. Subsequent studies used either complex networks [3,4] or fractional differential equations [5][6][7][8] to extend the SIR model by incorporating more heterogeneities and correlations into the transmission processes [9]. However, due to the remarkable spatiotemporal variations exhibited by related factors [10], such as non-pharmaceutical interventions [11], population movements [12], and social contacts [13], as well as the uncertainties caused by virus mutations and vaccinations [14], mathematical models have long faced challenges in capturing epidemic dynamics in terms of multiple factors.…”
Section: Introductionmentioning
confidence: 99%