2011
DOI: 10.1016/j.jfranklin.2011.09.008
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Polynomial based differential quadrature method for numerical solution of nonlinear Burgers' equation

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Cited by 71 publications
(40 citation statements)
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“…So far various numerical algorithms such as finite difference and cubic spline finite element methods [6], the group-explicit method [7], the generalized boundary element approach [8], quartic B-splines collocation method [9], quadratic B-splines finite element method [10], finite element method [11], spectral method [32], fourthorder finite difference method [12], a novel numerical scheme [13], explicit and exactexplicit finite difference methods [14], automatic differentiation method [15], Galerkin finite element method [16], cubic B-splines collocation method [17], spectral collocation method [18], Polynomial based differential quadrature method [19], quartic B-splines differential quadrature method [20], least-squares quadratic B-splines finite element method [21], implicit fourth-order compact finite difference scheme [22], some implicit methods [23], variational iteration method [24], homotopy analysis method [25], differential transform method and the homotopy analysis method [26], a numerical method based on Crank-Nicolson [27], modified cubic B-splines collocation method [28] ,differential quadrature method [29][30][31]46,47], some new semi-implicit finite difference schemes [33], Haar wavelet quasilinearization approach [34] etc. have been developed for the numerical solutions of Burgers' equation.…”
Section: Introductionmentioning
confidence: 99%
“…So far various numerical algorithms such as finite difference and cubic spline finite element methods [6], the group-explicit method [7], the generalized boundary element approach [8], quartic B-splines collocation method [9], quadratic B-splines finite element method [10], finite element method [11], spectral method [32], fourthorder finite difference method [12], a novel numerical scheme [13], explicit and exactexplicit finite difference methods [14], automatic differentiation method [15], Galerkin finite element method [16], cubic B-splines collocation method [17], spectral collocation method [18], Polynomial based differential quadrature method [19], quartic B-splines differential quadrature method [20], least-squares quadratic B-splines finite element method [21], implicit fourth-order compact finite difference scheme [22], some implicit methods [23], variational iteration method [24], homotopy analysis method [25], differential transform method and the homotopy analysis method [26], a numerical method based on Crank-Nicolson [27], modified cubic B-splines collocation method [28] ,differential quadrature method [29][30][31]46,47], some new semi-implicit finite difference schemes [33], Haar wavelet quasilinearization approach [34] etc. have been developed for the numerical solutions of Burgers' equation.…”
Section: Introductionmentioning
confidence: 99%
“…In Table , the numerical solution obtained for kinematic viscosities ν = 1 , 0.1 , 0.01 , 0.005 , 0.004 are compared with exact and results obtained using modified cubic B‐spline DQM , automatic differentiation method , cubic Hermite collection method , Haar wavelet quasilinearization method , Crank‐Nicolson , polynomial based DQM and least‐squares quadratic B‐spline FEM . For small values of kinematic viscosities like ν = 0.005 and 0.004 , the computation has carried up to T = 15 using 15‐stage computation with 30 computational time steps per stage.…”
Section: Resultsmentioning
confidence: 99%
“…Table V is used for the comparison of errors with that of pseudospectral method [61]. In [61], Darvishi PDQ [40] PDQ-TS [58] PDQ [40] PDQ-TS [58] PDQ [40] PDQ-TS [42].…”
Section: Step 3: Substitutionmentioning
confidence: 99%
“…In this segment, we exhibit the computational technique employed to solve the nonlinear system of PDEs (14)- (15) with boundary conditions (16). Newton's linearization method (NLM) was utilized to linearize the non-linear system (14)- (16), which was subsequently solved using the differential quadrature method (DQM) [27][28][29][30][31][32][33][34][35][36][37][38][39] and two-point backward finite difference method. Applying NLM on (14)- (16) gives:…”
Section: Hybrid Linearization-differential Quadrature Methods (Hldqm)mentioning
confidence: 99%