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Fast and high-order numerical algorithms for the solution of multidimensional nonlinear fractional Ginzburg-Landau equation

机译:用于多维非线性分数Ginzburg-Landau方程解决方案的快速和高阶数值算法

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摘要

In this paper we propose two fast and accurate numerical methods for the solution of multidimensional space fractional Ginzburg-Landau equation (FGLE). In the presented methods, to avoid solving a nonlinear system of algebraic equations and to increase the accuracy and efficiency of method, we split the complex problem into simpler sub-problems using the split-step idea. For a homogeneous FGLE, we propose a method which has fourth-order of accuracy in time component and spectral accuracy in space variable and for nonhomogeneous one, we introduce another scheme based on the Crank-Nicolson approach which has second-order of accuracy in time variable. Due to using the Fourier spectral method for fractional Laplacian operator, the resulting schemes are fully diagonal and easy to code. Numerical results are reported in terms of accuracy, computational order and CPU time to demonstrate the accuracy and efficiency of the proposed methods and to compare the results with the analytical solutions. The results show that the present methods are accurate and require low CPU time. It is illustrated that the numerical results are in good agreement with the theoretical ones.
机译:本文提出了两种快速准确的数字方法,用于多维空间分数吉丁堡 - 兰德方程(打破)解决方案。在呈现的方法中,为了避免求解代数方程的非线性系统并提高方法的准确性和效率,我们使用分割步骤思路将复杂问题分成更简单的子问题。对于一个均匀的变形,我们提出了一种方法,该方法在空间变量和空间变量中的频谱精度和用于非均匀的方法的四阶的方法,我们介绍了一种基于曲柄 - 尼古尔森方法的另一个方案,其具有二阶准确性的时间多变的。由于使用分数拉普拉斯操作员的傅里叶谱法,所产生的方案是完全对角线和易于编码的。在准确性,计算令和CPU时间方面报告了数值结果,以展示所提出的方法的准确性和效率,并将结果与​​分析解决方案进行比较。结果表明,本方法是准确的,需要低CPU时间。示出了数值结果与理论上吻合良好。

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