2021
DOI: 10.1155/2021/8817794
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New Numerical Algorithm to Solve Variable-Order Fractional Integrodifferential Equations in the Sense of Hilfer-Prabhakar Derivative

Abstract: In this article, a numerical technique based on the Chebyshev cardinal functions (CCFs) and the Lagrange multiplier technique for the numerical approximation of the variable-order fractional integrodifferential equations are shown. The variable-order fractional derivative is considered in the sense of regularized Hilfer-Prabhakar and Hilfer-Prabhakar fractional derivatives. To solve the problem, first, we obtain the operational matrix of the regularized Hilfer-Prabhakar and Hilfer-Prabhakar fractional derivati… Show more

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Cited by 7 publications
(5 citation statements)
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References 34 publications
(38 reference statements)
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“…The Prabhakar integral operator is defined for analytic function ϕðzÞ ∈ H ½0, 1 = fϕ∈∪ : ϕ 1 z + ϕ 2 z 2 +⋯g by the formula [14][15][16][17][18][19][20]…”
Section: Complex Prabhakar Operator (Cpo)mentioning
confidence: 99%
“…The Prabhakar integral operator is defined for analytic function ϕðzÞ ∈ H ½0, 1 = fϕ∈∪ : ϕ 1 z + ϕ 2 z 2 +⋯g by the formula [14][15][16][17][18][19][20]…”
Section: Complex Prabhakar Operator (Cpo)mentioning
confidence: 99%
“…However, due to the presence of more parameters in the Prabhakar operator, existing numerical schemes may not be useful to solve fractional differential equations defined in the Prabhakar sense. While certain studies do exist wherein numerical approximations of fractional differential equations defined in the Prabhakar sense are provided [38][39][40][41], these resources remain inadequate in number. In [38], the Lagrange multiplier technique and Chebyshev cardinal functions have been used in order to approximate the variable-order fractional integro-differential equations with Hilfer-Prabhakar fractional derivatives.…”
Section: Introductionmentioning
confidence: 99%
“…While certain studies do exist wherein numerical approximations of fractional differential equations defined in the Prabhakar sense are provided [38][39][40][41], these resources remain inadequate in number. In [38], the Lagrange multiplier technique and Chebyshev cardinal functions have been used in order to approximate the variable-order fractional integro-differential equations with Hilfer-Prabhakar fractional derivatives. Singh et al [39] provided the approximations of the Caputo-Prabhakar derivative and numerically treated the Caputo-Prabhakar fractional advection-diffusion equations, where a central difference scheme is used in space.…”
Section: Introductionmentioning
confidence: 99%
“…Prabhakar fractional operator used to explain certain odd habits in disordered people materials that are nonlinear and nonlocal. The need for Prabhakar operators to specific fractional coefficients may be a useful tool for determining an appropriate statistical method that produced a strong agreement between theoretically and experimentally findings in [29][30][31][32][33]. For the mathematical model of variable-order fractional Volterra integral, a numerical approach focused on CCFs and the Lagrange technique is shown in [34,35].…”
Section: Introductionmentioning
confidence: 99%