2010
DOI: 10.3390/mca15030449
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High-Order Finite Difference Schemes for Solving the Advection-Diffusion Equation

Abstract: Up to tenth-order finite difference schemes are proposed in this paper to solve one-dimensional advection-diffusion equation. The schemes based on high-order differences are presented using Taylor series expansion. To obtain the solutions, up to tenth-order finite difference schemes in space and a fourth-order Runge-Kutta scheme in time have been combined. The methods are implemented to solve two problems having exact solutions. Numerical experiments have been conducted to demonstrate the efficiency and high-o… Show more

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Cited by 27 publications
(22 citation statements)
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“…In terms of the above reasons, a compact finite difference scheme is desired to solve lots of differential equations numerically [13][14][15][16]. One can compute more accurate solutions using limited grid sizes through developing high-order compact finite difference schemes.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In terms of the above reasons, a compact finite difference scheme is desired to solve lots of differential equations numerically [13][14][15][16]. One can compute more accurate solutions using limited grid sizes through developing high-order compact finite difference schemes.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the high accuracy compact difference method has attracted more and more attention; see [18][19][20][21][22]. Using a Taylor series expansion, Sari et al [14] developed a tenth-order finite difference scheme, proposed to solve one-dimensional advection-diffusion equation. Gurarslan et al [16] presented a sixth-order compact difference scheme in space and a fourth-order Runge-Kutta scheme in time to produce numerical solutions of the one-dimensional advection-diffusion equation, it has been seen to be very accurate in solving the contaminant transport equation for Pe ≤ 5.…”
Section: Introductionmentioning
confidence: 99%
“…Remarkable research studies have been conducted in order to solve advection-dispersion equation numerically like method of characteristic with Galerkin method [2], finite difference method [3][4][5], high-order finite element techniques [6], high-order finite difference methods [7][8][9][10][11][12][13][14][15][16][17][18][19][20], green element method [21], cubic B-spline [22], cubic Bspline differential quadrature method [23], method of characteristics integrated with splines [24][25][26], Galerkin method with cubic B-splines [27], Taylor collocation and Taylor-Galerkin methods [28], B-spline finite element method [29], least squares finite element method (FEMLSF and FEMQSF) [30], lattice Boltzman method [31], Taylor-Galerkin B-spline finite element method [32], and meshless method [33,34].…”
Section: Introductionmentioning
confidence: 99%
“…For that reason, several alternative methods are proposed in the literature for solving the ADE with high accuracy [11]. These include method of characteristic with Galerkin method (MOCG) [11], finite difference method [12][13][14], high-order finite element techniques [15], high-order finite difference methods [16][17][18][19][20][21][22][23][24], Green-element method [25], cubic B-spline [26], cubic B-spline differential quadrature method (CBSDQM) [27], method of characteristics integrated with splines (MOCS) [28][29][30], Galerkin method with cubic B-splines (CBSG) [31], Taylor-Collocation (TC) and Taylor-Galerkin (TG) methods [32], B-spline finite element method [33], Least squares finite element method (FEMLSF and FEMQSF) [34], Lattice Boltzmann method [35], Taylor-Galerkin B-spline finite element method [36], and meshless method [37,38].…”
Section: Introductionmentioning
confidence: 99%