Browsing by Author "Prakasha, D. G."

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Citation Count: Veeresha, P...et al. (2019). "A reliable technique for fractional modified Boussinesq and approximate long wave equations", Advances in Difference Equations.
A reliable technique for fractional modified Boussinesq and approximate long wave equations
(Springer Open, 2019) Veeresha, P.; Prakasha, D. G.; Qurashi, M. A.; Baleanu, Dumitru; 56389
In this paper, an efficient technique is employed to study the modified Boussinesq and approximate long wave equations of the Caputo fractional time derivative, namely the q-homotopy analysis transform method. These equations play a vital role in describing the properties of shallow water waves through distinct dispersion relation. The convergence analysis and error analysis are presented in the present investigation for the future scheme. We illustrate two examples to demonstrate the leverage and effectiveness of the proposed scheme, and the error analysis is discussed to verify the accuracy. The numerical simulation is conducted to ensure the exactness of the future technique. The obtained numerical and graphical results are presented, the proposed scheme is computationally very accurate and straightforward to study and find the solution for fractional coupled nonlinear complex phenomena arising in science and technology.
Citation Count: Veeresha, P...et al. (2020). "An Efficient Computational Technique for Fractional Model of Generalized Hirota-Satsuma-Coupled Korteweg-de Vries and Coupled Modified Korteweg-de Vries Equations", Journal of Computational and Nonlinear Dynamics, Vol. 15, No. 7.
An Efficient Computational Technique for Fractional Model of Generalized Hirota-Satsuma-Coupled Korteweg-de Vries and Coupled Modified Korteweg-de Vries Equations
(2020) Veeresha, P.; Prakasha, D. G.; Kumar, Devendra; Baleanu, Dumitru; Singh, Jagdev; 56389
The aim of the present investigation to find the solution for fractional generalized Hirota-Satsuma coupled Korteweg-de-Vries (KdV) and coupled modified KdV (mKdV) equations with the aid of an efficient computational scheme, namely, fractional natural decomposition method (FNDM). The considered fractional models play an important role in studying the propagation of shallow-water waves. Two distinct initial conditions are choosing for each equation to validate and demonstrate the effectiveness of the suggested technique. The simulation in terms of numeric has been demonstrated to assure the proficiency and reliability of the future method. Further, the nature of the solution is captured for different value of the fractional order. The comparison study has been performed to verify the accuracy of the future algo
Citation Count: Veeresha, P.; Prakasha, D. G.; Baleanu, Dumitru (2021). "An Efficient Technique for Fractional Coupled System Arisen in Magnetothermoelasticity With Rotation Using Mittag-Leffler Kernel", Journal of Computational and Nonlinear Dynamics, Vol. 16, No. 1.
An Efficient Technique for Fractional Coupled System Arisen in Magnetothermoelasticity With Rotation Using Mittag-Leffler Kernel
(2021) Veeresha, P.; Prakasha, D. G.; Baleanu, Dumitru; 56389
In this paper, we find the solution for fractional coupled system arisen in magnetothermoelasticity with rotation using q-homotopy analysis transform method ( q-HATM). The proposed technique is graceful amalgamations of Laplace transform technique with q-homotopy analysis scheme, and fractional derivative defined with Mittag-Leffler kernel. The fixed point hypothesis is considered to demonstrate the existence and uniqueness of the obtained solution for the proposed fractional order model. To illustrate the efficiency of the future technique, we analyzed the projected model in terms of fractional order. Moreover, the physical behavior of q-HATM solutions has been captured in terms of plots for different arbitrary order. The attained consequences confirm that the considered algorithm is highly methodical, accurate, very effective, and easy to implement while examining the nature of fractional nonlinear differential equations arisen in the connected areas of science and engineering.