Computational methods for the dynamics of the nonlinear Schrödinger/Gross-Pitaevskii equations
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Cites background or methods from "Computational methods for the dynam..."
...For simplicity of notation, here we only present the TSSP method for the GPE (2.25) in 1D truncated on a bounded interval U = (a, b) with homogeneous Dirichlet boundary conditions....
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...It is very useful in designing the most efficient and accurate numerical methods for computing ground states and dynamics, such as BESP and TSSP [5, 7, 8]), especially for the box potential....
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...d = 1, when β < 0, it admits the well-known bright soliton solution as [4, 70]...
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...25) is explicit, unconditionally stable, second-order accurate in time and spectral-order accurate in space [4, 7, 14]....
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...Various numerical methods have been proposed and studied in the literature [4, 7, 14, 20, 34, 64] for computing the dynamics of the GPE (2....
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Cites background from "Computational methods for the dynam..."
...This includes the kind of computation (dynamics or ground state), the number of components, the type of scheme (BESP, BEFD, CNSP, CNFD for the ground state and Relaxation, Splitting for the dynamics [11, 12]), the semi discretization parameters and other inputs that we explain below....
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...A second paper [12] will present the numerical schemes that are included in GPELab for solving the deterministic [11] and stochastic dynamics of GPEs [1, 2, 3, 14, 36], the associated GPELab functions and a few numerical examples....
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References
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"Computational methods for the dynam..." refers background or methods in this paper
...onal domain is chosen extremely large and/or time-dependent. Thus, in order to choose a smaller computational domain which might save memory and/or computational cost, perfectly matched layers (PMLs) [60] or high-order absorbing (or artificial) boundary conditions (ABCs) [12, 21, 23, 59, 102, 149, 154] need to be designed and/or used at the artificial boundary so that one can truncate (or approximate) t...
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...solving the NLSE/GPE in the literatures. Here we simply review some of them for the completeness of this paper. In fact, PMLs were introduced by Berenger in 1994 for electromagnetic field computations [60] and they have´ been extended to NLSE/GPE by various authors recently [153, 195]. Again, here we present the idea in 1D. Suppose that one is only interested in the solution of the NLSE/GPE (1.1) with ...
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9,647 citations
"Computational methods for the dynam..." refers background or methods in this paper
...Another issue is to design e fficient and accurate numerical methods and apply them for stud ying numerically NLSE/GPE with random potential [10, 98, 142, 150] or stochastic NL SE/GPE [58, 88, 89, 90, 149] with applications and NLSE/GPE in higher dimensions, i....
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...with random potential [10, 98, 142, 150], then the following time-split ting finite difference (TSFD) – in which the time-splitting...
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6,074 citations
"Computational methods for the dynam..." refers background in this paper
...own and important derivation of the NLSE is from the mean-field approximation of many-body problems in quantum physics and chemistry [158], especially for the study of Bose-Einstein condensation (BEC) [11, 158], where it is also called the Gross-Pitaevskii equation (GPE) [29, 118, 157, 158]. Another important application of the NLSE is for laser beam propagation in nonlinear and/or quantum optics and there ...
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5,991 citations
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... 81Q20, 81V45 1. Introduction The nonlinear Schrodinger equation (NLSE) is a partial di¨ erential equation (PDE) that can be met in many dierent areas of physics and chemistry as well as engineering [1, 2, 84, 92, 158, 165, 170]. The most well-known and important derivation of the NLSE is from the mean-field approximation of many-body problems in quantum physics and chemistry [158], especially for the study of Bose-Einstein c...
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...1) and its specific form depends on dierent applications [1, 2, 27, 29, 158, 170]. In fact, when f(ˆ) , with a constant, then the NLSE (1.1) collapses to the standard (linear) Schrodinger equation [92, 165]. The most popular and important nonlinearity is the cubic¨ nonlinearity [1, 2, 29, 158, 170] f(ˆ) = ˆ; 0 ˆ<1; (1.3) where (positive for repulsive or defocusing interaction and negative for attrac...
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