2014
DOI: 10.1016/j.cpc.2013.12.015
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An exponential spline solution of nonlinear Schrödinger equations with constant and variable coefficients

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Cited by 16 publications
(8 citation statements)
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“…In this paper, we present an implicit non-polynomial spline functions based scheme for the numerical solution of the following one dimensional convection-diffusion equation, ( , (0, ) ( ), (1, ) ( ), 0 u t g t u t g t t t (2) and with the initial condition ( ,0) ( ), 0 1 u x f x x d d (3) where 0 H ! , is the phase speed and 0…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this paper, we present an implicit non-polynomial spline functions based scheme for the numerical solution of the following one dimensional convection-diffusion equation, ( , (0, ) ( ), (1, ) ( ), 0 u t g t u t g t t t (2) and with the initial condition ( ,0) ( ), 0 1 u x f x x d d (3) where 0 H ! , is the phase speed and 0…”
Section: Introductionmentioning
confidence: 99%
“…Ravi Kanth and Aruna [1] implemented the differential transform method for solving linear and nonlinear Klein-Gordon equation. Mohammadi [2] presented the exponential spline approach and Lin [3] constructed the parametric cubic spline method for the numerical solution of non-linear Schrodinger equation.…”
mentioning
confidence: 99%
“…The numerical solutions to the nonlinear sine-Gordon equation have received considerable attention in the literature (see [10][11][12][13][14][15][16]). Mohammadi [17]- [19] developed different spline schemes to find the numerical solution of different type of partial differential equations.…”
Section: Introductionmentioning
confidence: 99%
“…Numerical methods involved finite-difference approach [19,21,22], bi-k-Lagrange elements [23], spectral collocation methods with Chebyshev polynomials of the first and second kind [24] as well as basis set expansion technique [25]. Time-dependent equations were solved with implicit and semi-implicit Crank-Nicolson methods [26,27,18,28,29], Euler scheme [22], third and fourth-order adaptive Runge-Kutta methods [30], splitstep finite difference method [22] and time-splitting sine and Fourier pseudospectral methods [31,32]. In the latter case, space was discretized with second-and fourth-order finite differences, exponential splines [29] or with Chebyshev-Tau spectral discretization method [26].…”
Section: Introductionmentioning
confidence: 99%