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首页> 外文期刊>Numerical Methods for Partial Differential Equations: An International Journal >A linear system-free Gaussian RBF method for the Gross-Pitaevskii equation on unbounded domains
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A linear system-free Gaussian RBF method for the Gross-Pitaevskii equation on unbounded domains

机译:无界区域上Gross-Pitaevskii方程的无线性高斯RBF方法

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摘要

Gaussian radial basis function (RBF) interpolation methods are theoretically spectrally accurate. However, in applications this accuracy is seldom realized due to the necessity of solving a very poorly conditioned linear system to evaluate the methods. Recently, by using approximate cardinal functions and restricting the method to a uniformly spaced grid (or a smooth mapping thereof), it has been shown that the Gaussian RBF method can be formulated in a matrix free framework that does not involve solving a linear system [1]. In this work, we differentiate the linear system-free Gaussian (LSFG) method and use it to solve partial differential equations on unbounded domains that have solutions that decay rapidly and that are negligible at the ends of the grid. As an application, we use the LSFG collocation method to numerically simulate Bose-Einstein condensates.
机译:高斯径向基函数(RBF)插值方法理论上在光谱上是准确的。但是,由于需要解决条件极差的线性系统来评估这些方法,因此在应用中很少能达到这种精度。最近,通过使用近似基数函数并将该方法限制为均匀间隔的网格(或其平滑映射),已表明,高斯RBF方法可以用不涉及求解线性系统的无矩阵框架来表示[ 1]。在这项工作中,我们对无线性系统的高斯(LSFG)方法进行了区分,并使用它来求解无界域上的偏微分方程,这些方程具有快速衰减且在网格末端可忽略的解决方案。作为应用程序,我们使用LSFG配置方法对Bose-Einstein冷凝物进行数值模拟。

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