2021
DOI: 10.1002/num.22762
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A new and efficient numerical method based on shifted fractional‐order Jacobi operational matrices for solving some classes of two‐dimensional nonlinear fractional integral equations

Abstract: The aim of this paper is to present a new and efficient numerical method to approximate the solutions of two-dimensional nonlinear fractional Fredholm and Volterra integral equations. For this aim, the two-variable shifted fractional-order Jacobi polynomials are introduced and their operational matrices of fractional integration and product are derived. These operational matrices and shifted fractional-order Jacobi collocation method are utilized to reduce the understudy equations to systems of nonlinear algeb… Show more

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Cited by 18 publications
(5 citation statements)
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“…While several numerical techniques have been proposed to solve some different problems (see, for instance, earlier researches [52][53][54][55][56][57][58][59][60][61][62] and references therein), there have been few research studies that developed numerical methods to solve the NTFSDEs of distributed order (see earlier studies, 39,63,64 ).…”
Section: Nonlinear Time-fractional Subdiffusion Equations ( Ntfsdess)mentioning
confidence: 99%
“…While several numerical techniques have been proposed to solve some different problems (see, for instance, earlier researches [52][53][54][55][56][57][58][59][60][61][62] and references therein), there have been few research studies that developed numerical methods to solve the NTFSDEs of distributed order (see earlier studies, 39,63,64 ).…”
Section: Nonlinear Time-fractional Subdiffusion Equations ( Ntfsdess)mentioning
confidence: 99%
“…Fractional calculus is one of the important topics in science, engineering, physics, and other disciplines due to its representation in the mathematical model of natural events [1]. The spectral method is considered a well-known numerical method to approximate the solution of various fractional differential equations (FDEs) [2][3][4] and fractional integral equations (FIEs) [5][6][7]. Because of the ability to apply and adjust over both finite and infinite intervals and rapid rate convergence with relatively few grid points, making them computationally efficient [8].…”
Section: Introductionmentioning
confidence: 99%
“…Matoog [19] used the Toeplitz matrix method to solve SIE. In [20], Maleknejad et al presented a numerical method passing on Jacobi polynomials and the Newton algorithm to approximate the solutions of nonlinear fractional Fredholm and Volterra integral equations in two dimensions. In [21], Liaqat et al presented Shehu transform and the Adomian decomposition technique in a novel algorithm form to establish approximate and exact solutions to quantum mechanics models.…”
Section: Introductionmentioning
confidence: 99%