Compact LABFM: a framework for meshless methods with spectral-like resolving power
This work addresses the need for high-order simulations of PDEs in complex geometries, offering potential for a step-change in accuracy for numerical solutions, though it appears incremental as an enhancement to existing meshless methods.
The authors tackled the problem of improving accuracy in meshless methods for solving partial differential equations (PDEs) by developing a compact scheme based on the local anisotropic basis function method (LABFM), which demonstrated significant gains in accuracy, especially for high wavenumber components, through convergence tests and resolving power analysis.
Meshless methods are often used in numerical simulations of systems of partial differential equations (PDEs), particularly those which involve complex geometries or free surfaces. Here we present a novel compact scheme based on the local anisotropic basis function method (LABFM), a meshless method which provides approximations to spatial operators to arbitrary polynomial consistency. Our approach mimics compact finite-differences by using implicit stencils to optimise the resolving power of each operator, whilst retaining diagonal dominance of the resulting global sparse linear system. The new method is demonstrated to provide improved approximations by a series of convergence tests and resolving power analysis, before solutions to canonical PDEs are computed. Significant gains in accuracy are observed, in particular for solutions containing high wavenumber components. Our compact meshfree method provides a pathway to high-order simulations of PDEs in complex geometries with spectral-like resolving power, and has the potential to lead to a step-change in the accuracy of numerical solutions to such problems.