2018
DOI: 10.1016/j.cpc.2018.05.007
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An efficient split-step and implicit pure mesh-free method for the 2D/3D nonlinear Gross–Pitaevskii equations

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Cited by 24 publications
(14 citation statements)
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“…This data smoothing method is commonly used to infer populations from a finite data sample. It has also been used in grid-free simulations of the GPE, which is of particular relevance here [46,47]. The kernel density estimator for M samples is given by…”
Section: B Boltzmann-vlasov Equation Simulationmentioning
confidence: 99%
“…This data smoothing method is commonly used to infer populations from a finite data sample. It has also been used in grid-free simulations of the GPE, which is of particular relevance here [46,47]. The kernel density estimator for M samples is given by…”
Section: B Boltzmann-vlasov Equation Simulationmentioning
confidence: 99%
“…The flow field contains strong discontinuity surfaces such as moving boundaries, shock wave, and combustion wave, etc., the deformed meshes near the moving boundaries need to be reconstructed, and the judgment of intersection and penetration among points, lines and surfaces in the reconstruction process is extremely complicated. Traditional CFD methods are mostly based on meshes, but the existence of meshes has limited the application of these methods in solving flow fields with complex boundaries [15][16][17][18][19][20]. Therefore, the method that can perform numerical analysis on flow problems without the necessity of meshing has become a research hotspot and the mesh-less method [21][22][23][24][25][26][27] has been applied to the study of fluid mechanics ever since.…”
Section: Introductionmentioning
confidence: 99%
“…The nonlinear Schrödinger equation (NLSE) is truly a universal equation as it describes major fields such as Bose-Eienstein condensation [1], nonlinear optics [2], ocean waves [3], and many others [4][5][6]. This has stimulated extensive interest in its analytical [7] and numerical solutions [8][9][10][12][13][14][15][16][17][18][19]. Over decades, knowledge about its analytical solutions has accumulated such that it is now rare to find a new solution [7].…”
Section: Introductionmentioning
confidence: 99%