Version 1
: Received: 31 August 2018 / Approved: 31 August 2018 / Online: 31 August 2018 (14:31:19 CEST)
How to cite:
Singh, J.; Kilicman, A.; Kumar, D.; Swroop, R. Numerical study for fractional model of nonlinear predator-prey biological population dynamic system. Preprints2018, 2018080549. https://doi.org/10.20944/preprints201808.0549.v1
Singh, J.; Kilicman, A.; Kumar, D.; Swroop, R. Numerical study for fractional model of nonlinear predator-prey biological population dynamic system. Preprints 2018, 2018080549. https://doi.org/10.20944/preprints201808.0549.v1
Singh, J.; Kilicman, A.; Kumar, D.; Swroop, R. Numerical study for fractional model of nonlinear predator-prey biological population dynamic system. Preprints2018, 2018080549. https://doi.org/10.20944/preprints201808.0549.v1
APA Style
Singh, J., Kilicman, A., Kumar, D., & Swroop, R. (2018). Numerical study for fractional model of nonlinear predator-prey biological population dynamic system. Preprints. https://doi.org/10.20944/preprints201808.0549.v1
Chicago/Turabian Style
Singh, J., Devendra Kumar and Ram Swroop. 2018 "Numerical study for fractional model of nonlinear predator-prey biological population dynamic system" Preprints. https://doi.org/10.20944/preprints201808.0549.v1
Abstract
The key objective of the present paper is to propose a numerical scheme based on the homotopy analysis transform technique to analyze the time-fractional nonlinear predator-prey population model. The population model is coupled fractional order nonlinear partial differential equations often employed to narrate the dynamics of biological systems in which two species interact, first is a predator and the second is a prey. The proposed scheme provides the series solution with great freedom and flexibility by choosing appropriate parameters. The convergence of results is free from small or large parameters. Three examples are discussed to demonstrate the correctness and efficiency of the used computational approach.
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.