2020
DOI: 10.1108/ec-01-2020-0013
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A numerical algorithm based on scale-3 Haar wavelets for fractional advection dispersion equation

Abstract: Purpose This paper aims to propose a novel approach based on uniform scale-3 Haar wavelets for unsteady state space fractional advection-dispersion partial differential equation which arises in complex network, fluid dynamics in porous media, biology, chemistry and biochemistry, electrode – electrolyte polarization, finance, system control, etc. Design/methodology/approach Scale-3 Haar wavelets are used to approximate the space and time variables. Scale-3 Haar wavelets converts the problems into linear syste… Show more

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Cited by 15 publications
(4 citation statements)
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“…Nevertheless, the intrinsic complexity of fractional calculus, caused partially by non‐local properties of fractional derivatives and integrals, makes it rather difficult to find efficient numerical methods in this field. Despite this fact, however, the literature exhibits a growing interest and improving achievements in numerical methods for fractional calculus in general [5–14]. It seems enough to mention here that currently the numerical methods commonly used in fractional calculus included finite difference method and finite element method.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Nevertheless, the intrinsic complexity of fractional calculus, caused partially by non‐local properties of fractional derivatives and integrals, makes it rather difficult to find efficient numerical methods in this field. Despite this fact, however, the literature exhibits a growing interest and improving achievements in numerical methods for fractional calculus in general [5–14]. It seems enough to mention here that currently the numerical methods commonly used in fractional calculus included finite difference method and finite element method.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the intrinsic complexity of fractional calculus, caused partially by non-local properties of fractional derivatives and integrals, makes it rather difficult to find efficient numerical methods in this field. Despite this fact, however, the literature exhibits a growing interest and improving achievements in numerical methods for fractional calculus in general [5][6][7][8][9][10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…The generalized complex Ginzburg-Landau (GCGL) model is considered in Hosseini et al (2021), and its 1-soliton solutions involving different wave structures are retrieved through a series of newly well-organized methods. The main aim of Pandit and Mittal (2021) is to propose a novel approach based on uniform scale-3 Haar wavelets for unsteady state space fractional advection-dispersion partial differential equation. A stable and efficient numerical technique based on modified trigonometric cubic B-spline functions is proposed in Dhiman et al (2021) for solving the time-fractional diffusion equation.…”
Section: Introductionmentioning
confidence: 99%
“…These analytical schemes provide the excellent agreement with the exact solution of various PDEs than other approaches. Many researchers and scientist developed several numerical and analytical schemes such as He’s iteration scheme (Khan, 2021), fractional complex transform (Ain et al , 2020), differential transform method (Arikoglu and Ozkol, 2007), scale-3 Haar wavelets (Mittal and Pandit, 2018; Pandit and Mittal, 2020), Adomian decomposition method (Duan et al , 2012), Homotopy perturbation scheme (He et al , 2021), Modified Laplace variational iteration method (Nadeem et al , 2019), two-scale approach (Ain et al , 2021), finite difference approach (Li and Zeng, 2013), high-order finite element scheme (Jiang and Ma, 2011), sub-equation method (Zheng and Wen, 2013) and differential quadrature method (Verma and Jiwari, 2015) to investigate the solution of these PDEs.…”
Section: Introductionmentioning
confidence: 99%