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A local radial basis function-finite difference (RBF-FD) method for solving 1D and 2D coupled Schroedinger-Boussinesq (SBq) equations

机译:一种局部径向基函数 - 用于求解1D和2D耦合Schroedinger-Boussinesq(SBQ)方程的方法

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摘要

In this study, one-dimensional (1D) and two-dimensional (2D) coupled Schrodinger-Boussinesq (SBq) equations are examined numerically. A local meshless method based on radial basis function-finite difference (RBF-FD) method for spatial approximation is devised. We use polyharmonic splines as radial basis function along with augmented polynomials. By using polyharmonic splines we avoid to choose optimal shape parameter which requires special algorithms in meshless methods. For temporal discretization, low-storage ten-stage fourth-order explicit strong stability preserving Runge Kutta method is used which gives more flexibility on temporal step width. L_∞ and L_2 error norms are calculated to show accuracy of the proposed method. Further, conserved quantities are monitoried during numerical simulations to see how good the proposed method preserves them. Stability of the proposed method is dicussed numerically. Some codes are developed in Julia programming language to achieve more speed up in numerical simulations. Obtained results and their comparison with some studies such as wavelet, difference schemes and Fourier spectral methods available in literature verify the efficiency and reliability of the proposed method.
机译:在该研究中,数值检查一维(1D)和二维(2D)耦合的Schrodinger-BoussinesQ(SBQ)方程。设计了一种基于径向基函数 - 有限差(RBF-FD)空间近似方法的本地无网格方法。我们使用多发性花键作为径向基函数以及增强多项式。通过使用多球样条键,我们避免选择最佳形状参数,该参数需要无网格方法中的特殊算法。对于时间离散化,使用低存储十阶段的四阶显式强稳定性保存跳动库方法,其在时间步宽度提供了更大的灵活性。 L_‖和L_2误差规范计算为显示所提出的方法的准确性。此外,在数值模拟期间监测保守的数量,以了解所提出的方法保留的良好。所提出的方法的稳定性在数值上解剖。一些代码是在Julia编程语言中开发的,以在数值模拟中实现更多加速。获得的结果及其与文献中可用的小波,差分方案和傅里叶谱方法等一些研究的比较验证了所提出的方法的效率和可靠性。

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