2008
DOI: 10.1016/j.cam.2006.12.029
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A collocation method with cubic B-splines for solving the MRLW equation

Abstract: The modified regularized long wave (MRLW) equation is solved numerically by collocation method using cubic B-splines finite element. A linear stability analysis of the scheme is shown to be marginally stable. Three invariants of motion are evaluated to determine the conservation properties of the algorithm, also the numerical scheme leads to accurate and efficient results. Moreover, interaction of two and three solitary waves are studied through computer simulation and the development of the Maxwellian initial… Show more

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Cited by 89 publications
(91 citation statements)
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“…[25] using a finite difference scheme, in Ref. [26] using a collocation method with cubic B-splines, in Ref. [27] using the collocation method with quadratic B-spline finite elements and used the central finite difference method for time derivative.…”
Section: Introductionmentioning
confidence: 99%
“…[25] using a finite difference scheme, in Ref. [26] using a collocation method with cubic B-splines, in Ref. [27] using the collocation method with quadratic B-spline finite elements and used the central finite difference method for time derivative.…”
Section: Introductionmentioning
confidence: 99%
“…Khalifa [2,3] implemented the Adomian decomposition method and and the cubic B-spline collocation procedure to obtain the numerical solution of the GRLW equation. Wang Ju-Feng [11] used Meshless method for nonlinear GRLW.…”
Section: Introductionmentioning
confidence: 99%
“…Next, we move on to the inverse Laplace transform L −1 on the second term of (2.13), 22) where the formula 1/(s − a) = L exp(at) for a ∈ C and Laplace convolution theorem are used [10,12]. And we take the inverse Fourier transform F −1 on the above result, giving a triple integral I 2 ,…”
Section: Inverse Integral Transformationsmentioning
confidence: 99%
“…For simulating a wave train, we first consider an initial value problem of the governing equation (1.1) and the initial conditions 17) or, alternatively, 18) for constants A i > 0 and B > 0, which are known as the Maxwellian conditions [22]. And then, the algorithm (3.24) and (3.25), which corresponds to α = 0, is iterated to solve the above initial value problem for three different A i > 0, i.e., A 1 = 0.01, A 2 = 0.20 and A 3 = 0.27, where the concerning computational domains are selected as 20m < x < 140 m (M = 481, x = 1/3 m) and 0sec< t < 35sec (N = 211, t = 1/6 sec); equivalently, -49< x * < 343( x * ≈ 0.82), 0< t * < T = 268( t * ≈ 1.28) in dimensionless form.…”
Section: Nonlinear Behavior Near Wave Train Frontmentioning
confidence: 99%