2021
DOI: 10.32350/sir/53.05
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Solution of Parabolic Partial Differential Equations Via Non-Polynomial Cubic Spline Technique

Abstract: The discovery of parabolic partial differential equation (PDE) has made a profound impact on the scientific, engineering and technological community. A vast amount of research has been conducted to find the solution of parabolic PDEs. In this research, we introduced a novel technique to find the numerical solution of the fourth order PDEs. The novel technique is based upon the polynomial cubic spline method (PCSM) used along with Adomian decomposition method (ADM). The constraint of the alternative variables w… Show more

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Cited by 4 publications
(5 citation statements)
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“…In Figure (8) the actions that were taken on the concentration profile are discussed for different parameters.…”
Section: Resultsmentioning
confidence: 99%
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“…In Figure (8) the actions that were taken on the concentration profile are discussed for different parameters.…”
Section: Resultsmentioning
confidence: 99%
“…( 1) is satisfied identically by employing transformation, from eq(2, 3, 4) converted into nonlinear ordinary differential equations from eq. (7,8,9).…”
Section: Research Questionsmentioning
confidence: 99%
See 1 more Smart Citation
“…These methods include variational iteration method [34], variational iteration algorithm-I with an auxiliary parameter [3], the differential transform method [11], A fourth-order finite difference scheme [12], the discrete Adomian decomposition method [7], the residual power series [42], the finite difference method [23], non-polynomial cubic spline method [4], extended cubic B-spline approximation [6], finite-difference MacCormack method [17], C 1 Cubic quasi-interpolation splines [10], differential transform method and Padé approximant [43], double Laplace transform and double Laplace decomposition methods [31]. Many mathematicians have solved such problems to date, for more details, see [1,5,8,9,13,24,25,27,35]. Few authors have studied the spline method to solve partial differential equations, for instance, in [2,21,22,30,32,36,37,40].…”
Section: Introductionmentioning
confidence: 99%
“…Based on different approaches (such as classical spline, spline with knots, and fractal spline) various monotonicity-preserving models for monotone data have been discussed in the previous literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Spline functions have also been used for the solution of partial differential equations [19,20]. Previously, spline functions have become the main tools for solving monotonicity problems.…”
Section: Introductionmentioning
confidence: 99%