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Jang, Bongsoo
Computational Mathematical Science Lab (CMS Lab)
Research Interests
  • Numerical analysis, dynamics, fractional systems, data sciences

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A semi-analytic method with an effect of memory for solving fractional differential equations

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Title
A semi-analytic method with an effect of memory for solving fractional differential equations
Author
Kim, KyunghoonJang, Bongsoo
Keywords
ADOMIAN DECOMPOSITION METHOD; HOMOTOPY-PERTURBATION METHOD; INITIAL-VALUE PROBLEMS; TRANSFORM METHOD; SYSTEMS; ORDER; IVPS
Issue Date
201312
Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
Citation
ADVANCES IN DIFFERENCE EQUATIONS, v.2013, no., pp.1 - 14
Abstract
In this paper, we propose a new modification of the multistage generalized differential transform method (MsGDTM) for solving fractional differential equations. In MsGDTM, it is the key how to impose an initial condition in each sub-domain to obtain an accurate approximate solution. In several literature works (Odibat et al. in Comput. Math. Appl. 59:1462-1472, 2010; Alomari in Comput. Math. Appl. 61:2528-2534, 2011; Gokdoğan et al. in Math. Comput. Model. 54:2132-2138, 2011), authors have updated an initial condition in each sub-domain by using the approximate solution in the previous sub-domain. However, we point out that this approach is hard to apply an effect of memory which is the basic property of fractional differential equations. Here we provide a new algorithm to impose the initial conditions by using the integral operator that enhances accuracy. Several illustrative examples are demonstrated, and it is shown that the proposed technique is robust and accurate for solving fractional differential equations.
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DOI
http://dx.doi.org/10.1186/1687-1847-2013-371
ISSN
1687-1847
Appears in Collections:
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