Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme Kinetics

The multistep differential transform method is first employed to solve a time-fractional enzyme kinetics. This enzyme-substrate reaction is formed by a system of nonlinear ordinary differential equations of fractional order. The fractional derivatives are described in the Caputo sense. A comparativ...

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Main Author: Ahmed Alawneh
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/592938
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author Ahmed Alawneh
author_facet Ahmed Alawneh
author_sort Ahmed Alawneh
collection DOAJ
description The multistep differential transform method is first employed to solve a time-fractional enzyme kinetics. This enzyme-substrate reaction is formed by a system of nonlinear ordinary differential equations of fractional order. The fractional derivatives are described in the Caputo sense. A comparative study between the new algorithm and the classical Runge-Kutta method is presented in the case of integer-order derivatives. The results demonstrate reliability and efficiency of the algorithm developed.
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institution Kabale University
issn 1026-0226
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publishDate 2013-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-46f430324a7b4b48b187c0a3b18480ce2025-02-03T06:44:24ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/592938592938Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme KineticsAhmed Alawneh0Department of Science and Humanities, Princess Sumaya University for Technology, Amman 11941, JordanThe multistep differential transform method is first employed to solve a time-fractional enzyme kinetics. This enzyme-substrate reaction is formed by a system of nonlinear ordinary differential equations of fractional order. The fractional derivatives are described in the Caputo sense. A comparative study between the new algorithm and the classical Runge-Kutta method is presented in the case of integer-order derivatives. The results demonstrate reliability and efficiency of the algorithm developed.http://dx.doi.org/10.1155/2013/592938
spellingShingle Ahmed Alawneh
Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme Kinetics
Discrete Dynamics in Nature and Society
title Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme Kinetics
title_full Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme Kinetics
title_fullStr Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme Kinetics
title_full_unstemmed Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme Kinetics
title_short Application of the Multistep Generalized Differential Transform Method to Solve a Time-Fractional Enzyme Kinetics
title_sort application of the multistep generalized differential transform method to solve a time fractional enzyme kinetics
url http://dx.doi.org/10.1155/2013/592938
work_keys_str_mv AT ahmedalawneh applicationofthemultistepgeneralizeddifferentialtransformmethodtosolveatimefractionalenzymekinetics