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    Numerical Solution of Nonlinear Space–Time Fractional-Order Advection–Reaction–Diffusion Equation

    Source: Journal of Computational and Nonlinear Dynamics:;2020:;volume( 015 ):;issue: 006::page 061005-1
    Author:
    Dwivedi, Kushal Dhar
    ,
    Rajeev
    ,
    Das, Subir
    ,
    Baleanu, Dumitru
    DOI: 10.1115/1.4046879
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this article, a new algorithm is proposed to solve the nonlinear fractional-order one-dimensional solute transport system. The spectral collocation technique is considered with the Fibonacci polynomial as a basis function for the approximation. The Fibonacci polynomial is used to obtain derivative in terms of an operational matrix. The proposed algorithm is actually based on the fact that the terms of the considered problem are approximated through a series expansion of double Fibonacci polynomials and then collocated those on specific points, which provide a system of nonlinear algebraic equations which are solved by using Newton's method. To validate the precision of the proposed method, it is applied to solve three different problems having analytical solutions. The comparison of the results through error analysis is depicted through tables which clearly show the higher accuracy of order of convergence of the proposed method in less central processing unit (CPU) time. The salient feature of the article is the graphical exhibition of the movement of solute concentration for different particular cases due to the presence and absence of reaction term when the proposed scheme is applied to the considered nonlinear fractional-order space–time advection–reaction–diffusion model.
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      Numerical Solution of Nonlinear Space–Time Fractional-Order Advection–Reaction–Diffusion Equation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4275140
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    • Journal of Computational and Nonlinear Dynamics

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    contributor authorDwivedi, Kushal Dhar
    contributor authorRajeev
    contributor authorDas, Subir
    contributor authorBaleanu, Dumitru
    date accessioned2022-02-04T22:13:47Z
    date available2022-02-04T22:13:47Z
    date copyright4/27/2020 12:00:00 AM
    date issued2020
    identifier issn1555-1415
    identifier othercnd_015_06_061005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275140
    description abstractIn this article, a new algorithm is proposed to solve the nonlinear fractional-order one-dimensional solute transport system. The spectral collocation technique is considered with the Fibonacci polynomial as a basis function for the approximation. The Fibonacci polynomial is used to obtain derivative in terms of an operational matrix. The proposed algorithm is actually based on the fact that the terms of the considered problem are approximated through a series expansion of double Fibonacci polynomials and then collocated those on specific points, which provide a system of nonlinear algebraic equations which are solved by using Newton's method. To validate the precision of the proposed method, it is applied to solve three different problems having analytical solutions. The comparison of the results through error analysis is depicted through tables which clearly show the higher accuracy of order of convergence of the proposed method in less central processing unit (CPU) time. The salient feature of the article is the graphical exhibition of the movement of solute concentration for different particular cases due to the presence and absence of reaction term when the proposed scheme is applied to the considered nonlinear fractional-order space–time advection–reaction–diffusion model.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleNumerical Solution of Nonlinear Space–Time Fractional-Order Advection–Reaction–Diffusion Equation
    typeJournal Paper
    journal volume15
    journal issue6
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4046879
    journal fristpage061005-1
    journal lastpage061005-8
    page8
    treeJournal of Computational and Nonlinear Dynamics:;2020:;volume( 015 ):;issue: 006
    contenttypeFulltext
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