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In Figure 3, the results of solving the Lorenz system using RK4 and IPS12 are shown.
One can observe that the method provides excellent numerical solutions for nonlinear fractional order models as compared to other methods like homotopy analysis, homotopy perturbation method, and RK4. Since these methods involve an extra parameter h on which the solutions depend, therefore our proposed method needs no parameter and is easy to understand as well as to implement.
Six parameters, namely, bistable potential well parameters a and b, damping parameter [gamma], amplitude of high-frequency signal B, angular frequency of high-frequency signal [OMEGA], and calculation step of RK4 algorithm h, can be tuned.
To see this, one only needs to integrate the two-gene system (25) by RK4 with step size h = 1.32.
Table 1 shows the estimated values of xperimental results, NSFD and RK4 for the solution obtained for concentration of formaldehyde, base and pentaerythrose which is denoted by C x , C y and C z respectively at same time step.
RK4 was also morphologically very similar to R[K.sub.2]5 but, like RK0 and R[K.sub.2], possessed mottles.
The MTS method also utilizes very few steps in order to evolve the solution compared to the ICN, RK3, RK4, and the CFLN.
Key words: pDNA ordinary differential equations DTM topoforms RK4 BDF.
Figures 3 and 5 show a comparison between Runge Kutta 4 (RK4) numerical solution for different values of k and approximations given by Laplace-Pade and Pade methods applied to (33).
However, TWCAWE-ME scheme is 3.3 times faster than the conventional solver, namely, Runge-Kutta technique (RK4), and needs 1.7 times less computational time than TWCAWE with ML scheme.
Moreover, for comparing with other methods, the numerical results of the variational iteration method (VIM) , the 4th-order Runge-Kutta method (RK4), and the LSM for N = 3 are given in Table 4.
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