2019
DOI: 10.1002/num.22349
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Quintic trigonometric spline based numerical scheme for nonlinear modified Burgers' equation

Abstract: This paper presents a numerical method based on quintic trigonometric B‐splines for solving modified Burgers' equation (MBE). Here, the MBE is first discretized in time by Crank–Nicolson scheme and the resulting scheme is solved by quintic trigonometric B‐splines. The proposed method tackles nonlinearity by using a linearization process known as quasilinearization. A rigorous analysis of the stability and convergence of the proposed method are carried out, which proves that the method is unconditionally stable… Show more

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Cited by 13 publications
(4 citation statements)
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“…The stability analysis of proposed improvised collocation technique is proved using von‐Neumann method which is similar as used by [33]. Put y as a local constant l 1 = max y to linearize the nonlinear term and then apply Crank–Nicolson scheme to discretize the temporal domain in Equation (1.1): yjn+1yjnΔt+l1δfalse(yxfalse)jn+1+false(yxfalse)jn2μfalse(yxxfalse)jn+1+false(yxxfalse)jn2=0. Separating the ( n + 1) th and n th time level terms: yjn+1Δt+l1δ2(yx)jn+1μ2(yitalicxx)jn+1=yjnΔtl1δ2(yx)jn+μ2(yitalicxx)jn+1. Substituting the values of y , y x , and y xx using improvised cubic B‐splines: 1normalΔt(γj1n+1+4γjn+1+γj+1n<...>…”
Section: Stability Analysismentioning
confidence: 99%
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“…The stability analysis of proposed improvised collocation technique is proved using von‐Neumann method which is similar as used by [33]. Put y as a local constant l 1 = max y to linearize the nonlinear term and then apply Crank–Nicolson scheme to discretize the temporal domain in Equation (1.1): yjn+1yjnΔt+l1δfalse(yxfalse)jn+1+false(yxfalse)jn2μfalse(yxxfalse)jn+1+false(yxxfalse)jn2=0. Separating the ( n + 1) th and n th time level terms: yjn+1Δt+l1δ2(yx)jn+1μ2(yitalicxx)jn+1=yjnΔtl1δ2(yx)jn+μ2(yitalicxx)jn+1. Substituting the values of y , y x , and y xx using improvised cubic B‐splines: 1normalΔt(γj1n+1+4γjn+1+γj+1n<...>…”
Section: Stability Analysismentioning
confidence: 99%
“…Comparison of L 2 and L ∞ error norms with μ = 0.01, 0.005, and 0.001 is represented in Tables 1–3 respectively for t ∈ [1, 10]. Results are compared with various existing works such as septic B‐spline [7], quintic B‐spline [14, 16] sextic B‐spline collocation methods [19], also with fourth order finite difference scheme [21], Petrov–Galerkin method [22], quintic B‐spline differential quadrature method [26], Haar wavelet collocation method [32], and quintic trigonometric B‐spline collocation method [33]. The improvised technique is giving better or almost similar results and such an accuracy is obtained with very less number of collocation points and Δ t = 0.1.…”
Section: Numerical Examplesmentioning
confidence: 99%
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“…The authors in [32] provided an orthogonal collocation technique with septic Hermite splines as basis function to obtain the numerical solution of non-linear modified Burgers' equation. A numerical method based on quintic trigonometric B-splines for solving modified Burgers' equation (MBE) is presented in [33]. The arrangement of the manuscript is as follows.…”
Section: Introductionmentioning
confidence: 99%