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Article

Abundant Wave Accurate Analytical Solutions of the Fractional Nonlinear Hirota–Satsuma–Shallow Water Wave Equation

1
Department of Mathematics, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
2
Department of Mathematics, Obour High Institute for Engineering and Technology, Cairo 11828, Egypt
*
Author to whom correspondence should be addressed.
The authors did all this work equally.
Fluids 2021, 6(7), 235; https://doi.org/10.3390/fluids6070235
Submission received: 5 March 2021 / Revised: 1 April 2021 / Accepted: 4 April 2021 / Published: 29 June 2021
(This article belongs to the Special Issue Mathematical and Numerical Modeling of Water Waves)

Abstract

:
This research paper targets the fractional Hirota’s analytical solutions–Satsuma ( HS ) equations. The conformable fractional derivative is employed to convert the fractional system into a system with an integer–order. The extended simplest equation (ESE) and modified Kudryashov (MKud) methods are used to construct novel solutions of the considered model. The solutions’ accuracy is investigated by handling the computational solutions with the Adomian decomposition method. The solutions are explained in some different sketches to demonstrate more novel properties of the considered model.

1. Introduction

Recently, the integrable nonlinear partial differential equations (INLPDEs) have been used in many typical applications [1,2,3]. These applications depend on the solitary wave solutions’ features, which are considered a fundamental tool for discovering more properties of the formulated phenomena by INLPDEs [4,5,6,7]. These solutions are handled to investigate the elastic and inelastic interaction in waves’ pulse through the transmission [8,9,10,11]. Studying these solutions has attracted the focus of much research, forcing them to formulate many analytical techniques for obtaining this kind of wave that gives them to investigate more properties of these solutions [12,13,14]. Such techniques are used to construct the analytical solutions for example extended tanh–expansion method, rational–expansion method, sine-Gordon expansion method, inverse Scattering transformation, Darbous transformation, Riccati, expansion method, multiple exp-function method, etc., [13,15,16,17,18,19,20,21,22,23,24,25,26].
In this article, we study a well-known model in INLPDEs presented by Hirota et al. [27,28,29]. This model is known by HS shallow water wave equation which is given by
D τ ϱ E = D τ ϱ E Ξ Ξ + 3 E D τ ϱ E 3 E Ξ D τ ϱ E + E Ξ , E Ξ = E .
where E = E ( Ξ , τ ) , E = E ( Ξ , τ ) , 0 < ϱ 1 . System (1) describes the dynamical behavior of the solitary wave in the shallow water. Applying the next wave transformation E = S ( Γ ) , E = S ( Γ ) , Γ = Ξ + λ t ϱ ϱ where λ is an arbitrary constant, then substituting the second equation in the system into the first, convert the above–fractional system into the following equation with an-integer order
λ S 3 λ S 2 + ( λ 1 ) S = 0 .
Handling Equation (2) by the homogeneous balance principles and the following auxiliary equation method of ESE and MKud method f ( Γ ) = h 3 f ( Γ ) 2 + h 2 f ( Γ ) + h 1 & Q ( Γ ) = log ( a ) ( Q ( Γ ) 2 Q ( Γ ) ) , gets the value of balance equal two. Consequently, the general solutions of Equation (2) are given by
S ( Γ ) = { a 2 f ( Γ ) 2 + a 1 f ( Γ ) + a 2 f ( Γ ) 2 + a 1 f ( Γ ) + a 0 , a 2 Q ( Γ ) 2 + a 1 Q ( Γ ) + a 0 }
where a 2 , a 1 , a 0 , a 1 , a 2 are arbitrary constants to be calculated later.
The rest sections are ordered as follows, we test, by means of two suggested analytical techniques [30,31,32], the analytical solutions to the nonlinear HS fractional equation. We search for the accuracy of the solutions we obtain in conjunction with the semi-analytical AD schema [33,34] in Section 2 part. In Section 3 we clarify the innovation of our approach and its physical interpretation. In theSection 4 portion, the outcome of a paper is summed up.

2. Computational Solutions vs. Accuracy

Here, we employ two recent analytical schemes (ESE and MKud methods) to formulate some novel computational wave solutions of the considered model. Additionally, the evaluated solutions are used to calculate the initial and boundary conditions. These conditions allow applying the AD method to test the accuracy of the obtained solutions and used schemes. This investigation takes the following steps:

2.1. Analytical Solutions

Applying the ESE and MKud methods’ framework gets the values of the above–mentioned parameters as following:
  • Through the ESE method’s steps gets the next values:
    Set I
    a 2 0 , a 1 0 , a 0 1 3 ( h 2 2 2 h 1 h 3 ) , a 1 2 h 2 h 3 , a 2 2 h 3 2 , λ 1 h 2 2 4 h 1 h 3 + 1 .
    Set II
    a 2 2 h 1 2 , a 1 2 h 1 h 2 , a 0 1 3 h 2 2 2 h 1 h 3 , a 1 0 , a 2 0 , λ 1 h 2 2 4 h 1 h 3 + 1 .
    Set III
    a 2 0 , a 1 0 , a 0 2 h 1 h 3 , a 1 2 h 2 h 3 , a 2 2 h 3 2 , λ 1 h 2 2 + 4 h 1 h 3 + 1 .
    Set IV
    a 2 2 h 1 2 , a 1 2 h 1 h 2 , a 0 2 h 1 h 3 , a 1 0 , a 2 0 , λ 1 h 2 2 + 4 h 1 h 3 + 1 .
Consequently, the exact solutions of the fractional nonlinear HS equation are constructed in the following. For h 2 = 0 , h 1 h 3 > 0 , we find
E I , 1 ( Ξ , τ ) = 1 3 ( 2 ) h 1 h 3 3 tan 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ + 1 ,
E I , 2 ( Ξ , τ ) = 1 3 ( 2 ) h 1 h 3 3 cot 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ + 1 ,
E II , 1 ( Ξ , τ ) = 1 3 ( 2 ) h 1 h 3 3 cot 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ + 1 ,
E II , 2 ( Ξ , τ ) = 1 3 ( 2 ) h 1 h 3 3 tan 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ + 1 ,
E III , 1 ( Ξ , τ ) = 2 h 1 h 3 sec 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ ,
E III , 2 ( Ξ , τ ) = 2 h 1 h 3 csc 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ ,
E IV , 1 ( Ξ , τ ) = 2 h 1 h 3 csc 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ ,
E IV , 2 ( Ξ , τ ) = 2 h 1 h 3 sec 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ + ϑ .
For h 2 = 0 , h 1 h 3 < 0 , we find
E I , 3 ( Ξ , τ ) = 2 3 h 1 h 3 3 tanh 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 1 ,
E I , 4 ( Ξ , τ ) = 2 3 h 1 h 3 3 csc h 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 + 2 ,
E II , 3 ( Ξ , τ ) = 2 3 h 1 h 3 3 csc h 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 + 2 ,
E II , 4 ( Ξ , τ ) = 2 3 h 1 h 3 3 tanh 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 1 ,
E III , 3 ( Ξ , τ ) = 2 h 1 h 3 sec h 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 ,
E III , 4 ( Ξ , τ ) = 2 h 1 h 3 csc h 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 ,
E IV , 3 ( Ξ , τ ) = 2 h 1 h 3 csc h 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 ,
E IV , 4 ( Ξ , τ ) = 2 h 1 h 3 sec h 2 h 1 h 3 τ ϱ 1 4 h 1 h 3 ϱ + Ξ log ( ϑ ) 2 .
For h 1 = 0 , h 2 > 0 , we find
E I , 5 ( Ξ , τ ) = h 2 2 2 h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ 1 2 2 h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ 1 1 3 ,
E III , 5 ( Ξ , τ ) = 2 h 2 2 h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ 1 2 .
For h 1 = 0 , h 2 < 0 , we find
E I , 6 ( Ξ , τ ) = 1 3 6 h 3 4 e 2 h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ + 1 2 + 6 h 2 h 3 1 1 h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ + 1 h 2 2 ,
E III , 6 ( Ξ , τ ) = 2 h 3 h 3 1 h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ + 1 2 1 h 2 2 h 3 h 3 e h 2 τ ϱ h 2 2 + 1 ϱ + Ξ + ϑ + 1 + h 2 .
For 4 h 1 h 3 > h 2 2 , we find
E I , 7 ( Ξ , τ ) = 1 6 h 2 2 4 h 1 h 3 3 sec 2 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ 2 ,
E I , 8 ( Ξ , τ ) = 1 6 h 2 2 4 h 1 h 3 3 csc 2 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ 2 ,
E II , 5 ( Ξ , τ ) = h 2 2 3 + 4 h 1 h 3 h 2 h 2 4 h 1 h 3 h 2 2 tan 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ + 2 3 h 1 h 3 12 h 1 h 3 h 2 4 h 1 h 3 h 2 2 tan 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ 2 1 ,
E II , 6 ( Ξ , τ ) = h 2 2 3 + 4 h 1 h 3 h 2 h 2 4 h 1 h 3 h 2 2 cot 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ + 2 3 h 1 h 3 12 h 1 h 3 h 2 4 h 1 h 3 h 2 2 cot 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ 2 1 ,
E III , 7 ( Ξ , τ ) = h 2 2 4 h 1 h 3 cos 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ + 1 ,
E III , 8 ( Ξ , τ ) = 1 2 h 2 2 4 h 1 h 3 csc 2 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ ,
E IV , 5 ( Ξ , τ ) = 2 h 1 h 3 h 2 2 4 h 1 h 3 / ( ( h 2 cos 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ 4 h 1 h 3 h 2 2 sin 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ ) 2 ,
E IV , 6 ( Ξ , τ ) = 2 h 1 h 3 h 2 2 4 h 1 h 3 / ( h 2 sin 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ 4 h 1 h 3 h 2 2 cos 1 2 4 h 1 h 3 h 2 2 τ ϱ h 2 2 4 h 1 h 3 + 1 ϱ + Ξ + ϑ ) 2 .
2.
Through the MKud method’s steps gets the next values
Set I
a 0 0 , a 1 2 log 2 ( a ) , a 2 2 log 2 ( a ) , λ 1 1 log 2 ( a ) .
Set II
a 0 1 3 log 2 ( a ) , a 1 2 log 2 ( a ) , a 2 2 log 2 ( a ) , λ 1 log 2 ( a ) + 1 .
Consequently, the exact solutions of the fractional nonlinear HS equation are constructed in the following
E I ( Ξ , τ ) = 2 log 2 ( a ) 1 ± a τ ϱ ϱ ϱ log 2 ( a ) + Ξ 1 1 ± a τ ϱ ϱ ϱ log 2 ( a ) + Ξ 2 ,
E II ( Ξ , τ ) = 1 3 log 2 ( a ) 6 1 ± a τ ϱ ϱ log 2 ( a ) + ϱ + Ξ 1 1 ± a τ ϱ ϱ log 2 ( a ) + ϱ + Ξ 2 1 .

2.2. Solutions’ Accuracy

Checking the accuracy of the obtained exact solutions of the HSI equation along with ESE and MKud methods with respect to Equations (12) and (32) for h 1 = 1 , h 3 = 1 , h 2 = 0 & a = 3 , gets the following semi–analytical solutions;
E 0 | E I , 3 ( Ξ ) = 2 3 ,
E 0 | E I ( Ξ ) = log 2 ( 3 ) 2 ,
E 1 | E I , 3 ( Ξ ) = 2 Ξ 2 ,
E 1 | E I ( Ξ ) = 1 8 Ξ 2 log 4 ( 3 ) 1 4 Ξ 2 log 2 ( 3 ) + Ξ 2 log 2 ( 3 ) 4 1 log 2 ( 3 ) Ξ 2 log 4 ( 3 ) 4 1 log 2 ( 3 ) ,
E 2 | E I , 3 ( Ξ ) = 4 Ξ 4 3 ,
E 2 | E I ( Ξ ) = 1 48 Ξ 4 log 6 ( 3 ) + 1 96 Ξ 4 log 4 ( 3 ) + Ξ 4 log 6 ( 3 ) 96 1 log 2 ( 3 ) Ξ 4 log 4 ( 3 ) 96 1 log 2 ( 3 ) ,
E 3 | E I , 3 ( Ξ ) = 2 Ξ 4 3 26 Ξ 6 45 ,
E 3 | E I ( Ξ ) = Ξ 6 log 8 ( 3 ) 1152 Ξ 6 log 6 ( 3 ) 1440 Ξ 6 log 8 ( 3 ) 1440 1 log 2 ( 3 ) + Ξ 6 log 6 ( 3 ) 1440 1 log 2 ( 3 ) + 1 32 Ξ 4 log 6 ( 3 ) .
Consequently, the semi–analytical solutions are given by
E appro | E I , 3 ( Ξ ) = 26 Ξ 6 45 + 2 Ξ 4 2 Ξ 2 + 2 3 ,
E appro | E I ( Ξ ) = Ξ 6 log 8 ( 3 ) 1152 Ξ 6 log 6 ( 3 ) 1440 Ξ 6 log 8 ( 3 ) 1440 1 log 2 ( 3 ) + Ξ 6 log 6 ( 3 ) 1440 1 log 2 ( 3 ) + 5 96 Ξ 4 log 6 ( 3 ) + 1 96 Ξ 4 log 4 ( 3 ) + Ξ 4 log 6 ( 3 ) 96 1 log 2 ( 3 ) Ξ 4 log 4 ( 3 ) 96 1 log 2 ( 3 ) 1 8 Ξ 2 log 4 ( 3 ) 1 4 Ξ 2 log 2 ( 3 ) + Ξ 2 log 2 ( 3 ) 4 1 log 2 ( 3 ) Ξ 2 log 4 ( 3 ) 4 1 log 2 ( 3 ) + log 2 ( 3 ) 2 .
Calculating the exact, semi–analytical solutions based on Equations (42) and (43) gets the following value in Table 1 and Table 2:

3. Results’ Explanation

This paper has constructed some novel solutions of the fractional HSI equation by implementing ESE and MKud methods. These solutions have been represented through some different forms (Figure 1, Figure 2, Figure 3 and Figure 4) in three–dimension, density and spherical plot three–dimensional to illustrate more novel properties of the considered model. Comparing our results with that obtained in [35] which has applied the Hirota bilinear method and symbolic computation on the integer–order of the same model, explains our results’ novelty where all our solutions are entirely different from their obtained solutions. Additionally, employing the AD method explains our solutions’ accuracy, where the analytical and semi-analytical solutions are almost matching. This matching has been cleared along with Table 1 and Table 2 and Figure 5 and Figure 6. Still, it also shows the superiority of the MKud method’s solution over the ESE method, as shown in Figure 7.

4. Conclusions

This article has successfully implemented two recent analytical schemes (ESE and MKud techniques), and many novel solutions have been obtained for the considered model. The conformable fractional derivative has been employed to convert the fractional system to a system with an integer. The exact solutions have been demonstrated through 3D, density, spherical plot 3D sketches. Moreover, the accuracy of the obtained solutions has been illustrated by calculating the absolute value of error between the exact and semi-analytical methods accepted by the AD method. The novelty of the obtained results in this article has been explained by comparing our results with the previously published research paper.

Author Contributions

Conceptualization, C.Y.; methodology, C.Y.; formal analysis, M.M.A.K.; investigation, M.M.A.K.; writing—original draft, C.Y.; writing—review and editing, C.Y.; visualization, M.M.A.K.; supervision, D.L.; data curation, C.Y.; resources, D.L. All authors have read and agreed to the published version of the manuscript.

Funding

This paper has been funded by the Research Innovation Program for College Graduates of Jiangsu Province (Grant No.KYCX19 1609).

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The author would like to thank the journal stuff (Editor & Reviewers).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Bright solitary wave solution of Equation (12) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for h 1 = 4 , h 3 = 32 , ϑ = 5 , ϱ = 1 .
Figure 1. Bright solitary wave solution of Equation (12) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for h 1 = 4 , h 3 = 32 , ϑ = 5 , ϱ = 1 .
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Figure 2. Solitary wave solution of Equation (16) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for h 1 = 1 , h 3 = 9 , ϑ = 1 , ϱ = 1 .
Figure 2. Solitary wave solution of Equation (16) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for h 1 = 1 , h 3 = 9 , ϑ = 1 , ϱ = 1 .
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Figure 3. Solitary wave solution of Equation (32) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for a = 3 , ϱ = 0.5 .
Figure 3. Solitary wave solution of Equation (32) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for a = 3 , ϱ = 0.5 .
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Figure 4. Solitary wave solution of Equation (33) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for a = 2 , ϱ = 0.5 .
Figure 4. Solitary wave solution of Equation (33) in (a) three–dimension, (b) density and (c) spherical plot three–dimensional for a = 2 , ϱ = 0.5 .
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Figure 5. Matching between exact and semi–analytical solutions based on Table 1.
Figure 5. Matching between exact and semi–analytical solutions based on Table 1.
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Figure 6. Matching between exact and semi–analytical solutions based on Table 2.
Figure 6. Matching between exact and semi–analytical solutions based on Table 2.
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Figure 7. MKud method’s superiority.
Figure 7. MKud method’s superiority.
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Table 1. Accuracy of the ESE method’s solutions through AD method.
Table 1. Accuracy of the ESE method’s solutions through AD method.
Value of Ξ E I , 3 E appro | E I , 3 ( Ξ ) Absolute ErrorValue of Ξ E I , 3 E appro | E I , 3 ( Ξ ) Absolute Error
00.6666666670.66666666700.260.5373342310.5404277020.003093471
0.010.666466680.6664666876.66684 × 10 9 0.270.5276705590.5312716440.003601085
0.020.665866880.6658669871.06678 × 10 7 0.280.5177123010.5218813610.00416906
0.030.6648677460.6648682865.40129 × 10 7 0.290.5074665620.5122686110.004802049
0.040.6634700770.6634717841.70739 × 10 6 0.30.496940590.5024454670.005504876
0.050.6616749880.6616791584.16943 × 10 6 0.310.4861417680.4924243070.006282539
0.060.6594839110.659492568.64823 × 10 6 0.320.4750775980.4822178030.007140204
0.070.6568985910.6569146191.60274 × 10 5 0.330.4637556960.4718389050.008083209
0.080.6539210830.6539484352.73526 × 10 5 0.340.4521837780.4613008330.009117055
0.090.6505537470.650597584.38328 × 10 5 0.350.4403696530.4506170580.010247405
0.10.6467992480.6468660896.68405 × 10 5 0.360.4283212080.439801290.011480082
0.110.642660550.6427584639.79132 × 10 5 0.370.4160464020.4288674670.012821065
0.120.6381409070.6382796610.0001387540.380.4035532530.4178297350.014276482
0.130.6332438650.6334350980.0001912330.390.3908498290.4067024350.015852606
0.140.6279732490.6282306360.0002573880.40.3779442390.3955000890.01755585
0.150.622333160.6226725850.0003394250.410.364844620.3842373820.019392762
0.160.6163279710.6167676930.0004397220.420.3515591310.3729291460.021370015
0.170.6099623130.6105231410.0005608270.430.338095940.3615903440.023494403
0.180.6032410750.6039465350.000705460.440.3244632180.350236050.025772832
0.190.5961693910.5970459050.0008765140.450.3106691250.3388814350.02821231
0.20.5887526330.5898296890.0010770560.460.2967218090.3275417480.03081994
0.210.5809964030.5823067330.001310330.470.2826293880.3162322960.033602908
0.220.5729065250.5744862780.0015797540.480.2683999470.3049684230.036568476
0.230.5644890350.5663779550.001888920.490.2540415310.2937654990.039723967
0.240.5557501710.5579917720.0022416010.50.2395621330.2826388890.043076756
0.250.5466963640.5493381080.0026417430.510.2249696870.2716039430.046634256
Table 2. Accuracy of the MKud method’s solutions through AD method.
Table 2. Accuracy of the MKud method’s solutions through AD method.
Value of Ξ E I E appro | E I ( Ξ ) Absolute ErrorValue of Ξ E I E appro | E I ( Ξ ) Absolute Error
00.6034740.60347400.260.5913310.5915830.000252
0.010.6034560.6034565.49 × 10 10 0.270.5903920.5906860.000294
0.020.6034020.6034028.79 × 10 9 0.280.5894210.5897610.00034
0.030.6033110.6033114.45 × 10 8 0.290.5884160.5888070.000391
0.040.6031830.6031831.41 × 10 7 0.30.5873790.5878270.000448
0.050.6030190.603023.43 × 10 7 0.310.5863080.586820.000511
0.060.6028190.602827.12 × 10 7 0.320.5852060.5857870.000581
0.070.6025830.6025841.32 × 10 6 0.330.5840710.5847280.000657
0.080.6023110.6023132.25 × 10 6 0.340.5829050.5836460.000741
0.090.6020020.6020063.61 × 10 6 0.350.5817070.5825390.000832
0.10.6016570.6016635.5 × 10 6 0.360.5804770.581410.000932
0.110.6012770.6012858.05 × 10 6 0.370.5792170.5802580.001041
0.120.600860.6008711.14 × 10 5 0.380.5779260.5790840.001159
0.130.6004080.6004231.57 × 10 5 0.390.5766040.577890.001286
0.140.599920.5999412.11 × 10 5 0.40.5752530.5766770.001424
0.150.5993960.5994242.79 × 10 5 0.410.5738710.5754440.001573
0.160.5988370.5988733.61 × 10 5 0.420.572460.5741930.001733
0.170.5982430.5982884.6 × 10 5 0.430.571020.5729250.001905
0.250.5922350.5924510.0002160.510.5584850.5622750.00379
0.180.5976130.5976715.78 × 10 5 0.440.5695510.5716410.00209
0.190.5969480.597027.18 × 10 5 0.450.5680530.5703410.002288
0.20.5962490.5963378.82 × 10 5 0.460.5665270.5690270.0025
0.210.5955150.5956220.0001070.470.5649730.5676990.002726
0.220.5947460.5948760.0001290.480.5633910.5663590.002968
0.230.5939430.5940980.0001540.490.5617830.5650080.003225
0.240.5931060.593290.0001830.50.5601470.5636460.003499
0.250.5922350.5924510.0002160.510.5584850.5622750.00379
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Yue, C.; Lu, D.; Khater, M.M.A. Abundant Wave Accurate Analytical Solutions of the Fractional Nonlinear Hirota–Satsuma–Shallow Water Wave Equation. Fluids 2021, 6, 235. https://doi.org/10.3390/fluids6070235

AMA Style

Yue C, Lu D, Khater MMA. Abundant Wave Accurate Analytical Solutions of the Fractional Nonlinear Hirota–Satsuma–Shallow Water Wave Equation. Fluids. 2021; 6(7):235. https://doi.org/10.3390/fluids6070235

Chicago/Turabian Style

Yue, Chen, Dianchen Lu, and Mostafa M. A. Khater. 2021. "Abundant Wave Accurate Analytical Solutions of the Fractional Nonlinear Hirota–Satsuma–Shallow Water Wave Equation" Fluids 6, no. 7: 235. https://doi.org/10.3390/fluids6070235

APA Style

Yue, C., Lu, D., & Khater, M. M. A. (2021). Abundant Wave Accurate Analytical Solutions of the Fractional Nonlinear Hirota–Satsuma–Shallow Water Wave Equation. Fluids, 6(7), 235. https://doi.org/10.3390/fluids6070235

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