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Numerical Simulation of Initial Value Problems With Generalized Caputo-Type Fractional Derivatives

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Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

No

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Abstract

We introduce a new generalized Caputo-type fractional derivative which generalizes Caputo fractional derivative. Some characteristics were derived to display the new generalized derivative features. Then, we present an adaptive predictor corrector method for the numerical solution of generalized Caputo-type initial value problems. The proposed algorithm can be considered as a fractional extension of the classical Adams-Bashforth-Moulton method. Dynamic behaviors of some fractional derivative models are numerically discussed. We believe that the presented generalized Caputo-type fractional derivative and the proposed algorithm are expected to be further used to formulate and simulate many generalized Caputo type fractional models. (C) 2020 IMACS. Published by Elsevier B.V. All rights reserved.

Description

Keywords

Generalized Caputo Derivative, Adaptive Predictor-Corrector Algorithm, Adams-Bashforth-Moulton Method, Chaos, Numerical Solution, Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations, Adams-Bashforth-Moulton method, generalized Caputo derivative, Fractional ordinary differential equations, adaptive predictor-corrector algorithm, Numerical methods for initial value problems involving ordinary differential equations

Fields of Science

0103 physical sciences, 0101 mathematics, 01 natural sciences

Citation

Odibat, Zaid; Baleanu, Dumitru (2020). "Numerical simulation of initial value problems with generalized Caputo-type fractional derivatives", APPLIED NUMERICAL MATHEMATICS, Vol.156 pp. 94-105.

WoS Q

Q1

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Q1
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OpenCitations Citation Count
160

Source

Applied Numerical Mathematics

Volume

156

Issue

Start Page

94

End Page

105
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Citations

CrossRef : 164

Scopus : 183

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Mendeley Readers : 25

SCOPUS™ Citations

190

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Web of Science™ Citations

164

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4

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4.62769168

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