An Efficient Series Solution for Nonlinear Multiterm Fractional Differential Equations. (8th March 2017)
- Record Type:
- Journal Article
- Title:
- An Efficient Series Solution for Nonlinear Multiterm Fractional Differential Equations. (8th March 2017)
- Main Title:
- An Efficient Series Solution for Nonlinear Multiterm Fractional Differential Equations
- Authors:
- Al-Srihin, Moh'd Khier
Al-Refai, Mohammed - Other Names:
- Abdeljawad Thabet Academic Editor.
- Abstract:
- Abstract : In this paper, we introduce an efficient series solution for a class of nonlinear multiterm fractional differential equations of Caputo type. The approach is a generalization to our recent work for single fractional differential equations. We extend the idea of the Taylor series expansion method to multiterm fractional differential equations, where we overcome the difficulty of computing iterated fractional derivatives, which are difficult to be computed in general. The terms of the series are obtained sequentially using a closed formula, where only integer derivatives have to be computed. Several examples are presented to illustrate the efficiency of the new approach and comparison with the Adomian decomposition method is performed.
- Is Part Of:
- Discrete dynamics in nature and society. Volume 2017(2017)
- Journal:
- Discrete dynamics in nature and society
- Issue:
- Volume 2017(2017)
- Issue Display:
- Volume 2017, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 2017
- Issue:
- 2017
- Issue Sort Value:
- 2017-2017-2017-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-03-08
- Subjects:
- System analysis -- Periodicals
Dynamics -- Periodicals
Chaotic behavior in systems -- Periodicals
Differentiable dynamical systems -- Periodicals
003.05 - Journal URLs:
- https://www.hindawi.com/journals/ddns/ ↗
- DOI:
- 10.1155/2017/5234151 ↗
- Languages:
- English
- ISSNs:
- 1026-0226
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22649.xml