An approximate analytical view of physical and biological models in the setting of Caputo operator via Elzaki transform decomposition method

被引:37
|
作者
Rashid, Saima [1 ]
Kubra, Khadija Tul [1 ]
Sultana, Sobia [2 ]
Agarwal, Praveen [3 ,4 ]
Osman, M. S. [5 ,6 ]
机构
[1] Govt Coll Univ, Dept Math, Faisalabad, Pakistan
[2] Imam Mohammad Ibn Saud Islamic Univ, Dept Math, Riyadh, Saudi Arabia
[3] Anand Int Coll Engn, Dept Math, Agra Rd, Jaipur 303012, India
[4] Ajman Univ, Nonlinear Dynam Res Ctr NDRC, Ajman AE 346, U Arab Emirates
[5] Umm Al Aura Univ, Fac Appl Sci, Dept Math, Mecca 21955, Saudi Arabia
[6] Cairo Univ, Fac Sci, Dept Math, Giza 12613, Egypt
关键词
Caputo derivative; Elzaki transform; Time-fractional Fornberg-Whitham equations; Klein-Gordon equation; Biological population models; FORNBERG-WHITHAM EQUATION; TRAVELING-WAVE SOLUTIONS; CAMASSA-HOLM; ITERATIVE METHOD; DIFFUSION; SYSTEM;
D O I
10.1016/j.cam.2022.114378
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This article offers a well-organized and novel algorithm for solving time-fractional Fornberg-Whitham, Klein-Gordon equation and biological population models occurring from physics and engineering. The Elzaki (E)-transformation and decomposition process are combined in this algorithm. To evaluate the numerical outcomes of fractional-order partial differential equations, the E-transform decomposition method is generated in series form and nonlinearity terms are decayed. To demonstrate the feasibility of the proposed approach, numerical algorithms and examples are illustrated via graphs and tables. Moreover, it is viewed that the solutions of the new methodology are in strong correlation with the exact findings. Numerical simulations were carried out to ensure that the proposed methods are precise, as shown by the exact solutions resolving complex nonlinear problems. (C) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:23
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