An Efficient Localized Meshless Method Based on the Space-Time Gaussian RBF for High-Dimensional Space Fractional Wave and Damped Equations

In this paper, an efficient localized meshless method based on the space-time Gaussian radial basis functions is discussed. We aim to deal with the left Riemann-Liouville space fractional derivative wave and damped wave equation in high-dimensional space. These significant problems as anomalous models could arise in several research fields of science, engineering, and technology. Since an explicit solution to such equations often does not exist, the numerical approach to solve this problem is fascinating. We propose a novel scheme using the space-time radial basis function with advantages in time discretization. Moreover this approach produces the (n + 1)-dimensional spatial-temporal computational domain for n-dimensional problems. Therefore the local feature, as a remarkable and efficient property, leads to a sparse coefficient matrix, which could reduce the computational costs in high-dimensional problems. Some benchmark problems for wave models, both wave and damped, have been considered, highlighting the proposed method performances in terms of accuracy, efficiency, and speed-up. The obtained experimental results show the computational capabilities and advantages of the presented algorithm.

Automated summary

This paper discusses an efficient localized meshless method based on space-time Gaussian radial basis functions for dealing with wave and damped wave equations in high-dimensional space. The method utilizes sparse coefficient matrix, reducing computational costs for high-dimensional problems. Experimental results show computational capabilities and advantages of the presented algorithm.