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Numerical simulation of 3D nonlinear Schrödinger equations by using the localized method of approximate particular solutions

机译:使用近似特定解的局部化方法对3D非线性Schrödinger方程进行数值模拟

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In this paper, we describe a novel sparse meshless approach to the simulations of three-dimensional time-dependent nonlinear Schrödinger equations. Our procedure is implemented in two successive steps. In the first step, the implicit-Euler scheme is applied for approximating the functional dependence of the solution on the temporal variables. Then, in the second step, the novel localized method of approximate particular solutions (LMAPS) is utilized for highly accurate and efficient numerical approximations of spatial systems. In the implementation of the LMAPS, the closed form particular solutions for the Laplace operator using the Gaussian radial basis function are used. Numerical experiments are provided to verify the stability and efficiency of this method. In summary, the proposed algorithm is efficient and stable, and the magnitude of the error is at about 10~(-3) for 3D nonlinear Schrödinger problems.
机译:在本文中,我们描述了一种新颖的稀疏无网格方法,用于模拟与时间有关的三维非线性Schrödinger方程。我们的过程分两个连续步骤实施。在第一步中,应用隐式欧拉方案来近似求解函数对时间变量的函数依赖性。然后,在第二步中,将新颖的近似特定解的局部化方法(LMAPS)用于空间系统的高精度和高效数值近似。在LMAPS的实现中,使用了使用高斯径向基函数的Laplace算子的封闭形式特定解决方案。通过数值实验验证了该方法的稳定性和有效性。综上所述,该算法高效,稳定,对于3D非线性Schrödinger问题,误差约为10〜(-3)。

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