In this paper, the Adomian decomposition method (ADM) is applied to obtain the approximate solution of a mathematical model of carcinogenesis which is a Riccati differential equation derived by Moolgavkar and Venzon (see [9]). The numerical solution obtained by this way have been compared with the exact solution which obtained by Moolgavkar and Venzon (see [11]). This comparison show that the (ADM) is a powerful method for solving this differential equations. The method does not need weak nonlinearity assumptions or perturbation theory, the decomposition procedure of Adomian will be obtained easily without linearization the problem by implementing the decomposition method rather than the standard methods for the exact solutions.
Published in |
American Journal of Theoretical and Applied Statistics (Volume 6, Issue 5-1)
This article belongs to the Special Issue Statistical Distributions and Modeling in Applied Mathematics |
DOI | 10.11648/j.ajtas.s.2017060501.16 |
Page(s) | 40-45 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Adomian Decomposition Method, Riccati Differential Equation, Carcinogenesis, Error Absolute
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APA Style
Mahmoud M. El-borai, M. A. Abdou, E. M. Youssef. (2017). Approximate Solutions for Mathematical Model of Carcinogenesis Using Adomian Decomposition Method. American Journal of Theoretical and Applied Statistics, 6(5-1), 40-45. https://doi.org/10.11648/j.ajtas.s.2017060501.16
ACS Style
Mahmoud M. El-borai; M. A. Abdou; E. M. Youssef. Approximate Solutions for Mathematical Model of Carcinogenesis Using Adomian Decomposition Method. Am. J. Theor. Appl. Stat. 2017, 6(5-1), 40-45. doi: 10.11648/j.ajtas.s.2017060501.16
@article{10.11648/j.ajtas.s.2017060501.16, author = {Mahmoud M. El-borai and M. A. Abdou and E. M. Youssef}, title = {Approximate Solutions for Mathematical Model of Carcinogenesis Using Adomian Decomposition Method}, journal = {American Journal of Theoretical and Applied Statistics}, volume = {6}, number = {5-1}, pages = {40-45}, doi = {10.11648/j.ajtas.s.2017060501.16}, url = {https://doi.org/10.11648/j.ajtas.s.2017060501.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.s.2017060501.16}, abstract = {In this paper, the Adomian decomposition method (ADM) is applied to obtain the approximate solution of a mathematical model of carcinogenesis which is a Riccati differential equation derived by Moolgavkar and Venzon (see [9]). The numerical solution obtained by this way have been compared with the exact solution which obtained by Moolgavkar and Venzon (see [11]). This comparison show that the (ADM) is a powerful method for solving this differential equations. The method does not need weak nonlinearity assumptions or perturbation theory, the decomposition procedure of Adomian will be obtained easily without linearization the problem by implementing the decomposition method rather than the standard methods for the exact solutions.}, year = {2017} }
TY - JOUR T1 - Approximate Solutions for Mathematical Model of Carcinogenesis Using Adomian Decomposition Method AU - Mahmoud M. El-borai AU - M. A. Abdou AU - E. M. Youssef Y1 - 2017/04/05 PY - 2017 N1 - https://doi.org/10.11648/j.ajtas.s.2017060501.16 DO - 10.11648/j.ajtas.s.2017060501.16 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 40 EP - 45 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.s.2017060501.16 AB - In this paper, the Adomian decomposition method (ADM) is applied to obtain the approximate solution of a mathematical model of carcinogenesis which is a Riccati differential equation derived by Moolgavkar and Venzon (see [9]). The numerical solution obtained by this way have been compared with the exact solution which obtained by Moolgavkar and Venzon (see [11]). This comparison show that the (ADM) is a powerful method for solving this differential equations. The method does not need weak nonlinearity assumptions or perturbation theory, the decomposition procedure of Adomian will be obtained easily without linearization the problem by implementing the decomposition method rather than the standard methods for the exact solutions. VL - 6 IS - 5-1 ER -