Operational matrix method for solving nonlinear space-time fractional order reaction-diffusion equation based on genocchi polynomial

被引:0
|
作者
Kumar S. [1 ]
Pandey P. [1 ]
Das S. [1 ]
机构
[1] Department of Mathematical Sciences, Indian Institute of Technology, Banaras Hindu University, Varanasi
来源
Special Topics and Reviews in Porous Media | 2020年 / 11卷 / 01期
关键词
Collocation method; Diffusion equation; Fractional order PDE; Genocchi polynomial; Operational matrix;
D O I
10.1615/SpecialTopicsRevPorousMedia.2020030750
中图分类号
学科分类号
摘要
An operational matrix method with Genocchi polynomials is derived to solve a space-time fractional order nonlinear reaction-diffusion equation with forced term. Applying a collocation method and using the operational matrix, a fractional order nonlinear partial differential equation is reduced to a system of algebraic equations, which can be solved by using Newton iteration. The salient features of the article are the pictorial presentations of the numerical solution of the concerned equation for different particular cases to show the effect of reaction term on the solution profile and also the change of its behavior when the system goes from standard order to fractional order. The accuracy of our proposed method is validated through the error analysis between the obtained numerical results and the analytical results of two existing standard order models. © 2020 by Begell House, Inc.
引用
收藏
页码:33 / 47
页数:14
相关论文
共 50 条
  • [1] OPERATIONAL MATRIX METHOD FOR SOLVING NONLINEAR SPACE-TIME FRACTIONAL ORDER REACTION-DIFFUSION EQUATION BASED ON GENOCCHI POLYNOMIAL
    Kumar, Sachin
    Pandey, Prashant
    Das, Subir
    SPECIAL TOPICS & REVIEWS IN POROUS MEDIA-AN INTERNATIONAL JOURNAL, 2020, 11 (01) : 33 - 47
  • [2] NUMERICAL SOLUTION OF TWO DIMENSIONAL REACTION-DIFFUSION EQUATION USING OPERATIONAL MATRIX METHOD BASED ON GENOCCHI POLYNOMIAL - PART I: GENOCCHI POLYNOMIAL AND OPPERATORIAL MATRIX
    Kumar, Sachin
    Pandey, Prashant
    Das, Subir
    Craciun, E. -M.
    PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE, 2019, 20 (04): : 393 - 399
  • [3] NUMERICAL SOLUTION OF TWO DIMENSIONAL REACTION-DIFFUSION EQUATION USING OPERATIONAL MATRIX METHOD BASED ON GENOCCHI POLYNOMIAL - PART II: ERROR BOUND AND STABILITY ANALYSIS
    Craciun, E-M
    Kumar, Sachin
    Pandey, Prashant
    Das, Subir
    PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE, 2020, 21 (02): : 147 - 154
  • [4] Numerical solution of ABC space-time fractional distributed order reaction-diffusion equation
    Kumar, Sachin
    Atangana, Abdon
    NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2022, 38 (03) : 406 - 421
  • [5] Novel operational matrix method for the numerical solution of nonlinear reaction–advection–diffusion equation of fractional order
    Manpal Singh
    S. Das
    S. H. Rajeev
    Computational and Applied Mathematics, 2022, 41
  • [6] Novel operational matrix method for the numerical solution of nonlinear reaction-advection-diffusion equation of fractional order
    Singh, Manpal
    Das, S.
    Rajeev
    Ong, S. H.
    COMPUTATIONAL & APPLIED MATHEMATICS, 2022, 41 (07)
  • [7] Operational matrix method to solve nonlinear reaction-advection-diffusion equation in fractional order system
    Craciun, E-M
    Singh, M.
    ANALELE STIINTIFICE ALE UNIVERSITATII OVIDIUS CONSTANTA-SERIA MATEMATICA, 2022, 30 (03): : 97 - 116
  • [8] Space-time pseudospectral method for the variable-order space-time fractional diffusion equation
    Gupta, Rupali
    Kumar, Sushil
    MATHEMATICAL SCIENCES, 2024, 18 (03) : 419 - 436
  • [9] SOLVING FRACTIONAL ADVECTION-DIFFUSION EQUATION USING GENOCCHI OPERATIONAL MATRIX BASED ON ATANGANA-BALEANU DERIVATIVE
    Sadeghi, S.
    Jafari, H.
    Nemati, S.
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2021, 14 (10): : 3747 - 3761
  • [10] An operational matrix method for solving variable-order fractional biharmonic equation
    Heydari, M. H.
    Avazzadeh, Z.
    COMPUTATIONAL & APPLIED MATHEMATICS, 2018, 37 (04) : 4397 - 4411