Fast multipole methods for evaluation of layer potentials with locally-corrected quadratures
arXiv:2006.02545 · doi:10.1016/j.jcpx.2021.100092
Abstract
While fast multipole methods (FMMs) are in widespread use for the rapid evaluation of potential fields governed by the Laplace, Helmholtz, Maxwell or Stokes equations, their coupling to high-order quadratures for evaluating layer potentials is still an area of active research. In three dimensions, a number of issues need to be addressed, including the specification of the surface as the union of high-order patches, the incorporation of accurate quadrature rules for integrating singular or weakly singular Green's functions on such patches, and their coupling to the oct-tree data structures on which the FMM separates near and far field interactions. Although the latter is straightforward for point distributions, the near field for a patch is determined by its physical dimensions, not the distribution of discretization points on the surface. Here, we present a general framework for efficiently coupling locally corrected quadratures with FMMs, relying primarily on what are called generalized Gaussian quadratures rules, supplemented by adaptive integration. The approach, however, is quite general and easily applicable to other schemes, such as Quadrature by Expansion (QBX). We also introduce a number of accelerations to reduce the cost of quadrature generation itself, and present several numerical examples of acoustic scattering that demonstrate the accuracy, robustness, and computational efficiency of the scheme. On a single core of an Intel i5 2.3GHz processor, a Fortran implementation of the scheme can generate near field quadrature corrections for between 1000 and 10,000 points per second, depending on the order of accuracy and the desired precision. A Fortran implementation of the algorithm described in this work is available at https://gitlab.com/fastalgorithms/fmm3dbie.
References in corpus (10)
- A fast direct solver for structured linear systems by recursive skeletonization
- Quadrature by Expansion: A New Method for the Evaluation of Layer Potentials
- A Butterfly-Based Direct Integral Equation Solver Using Hierarchical LU Factorization for Analyzing Scattering from Electrically Large Conducting Objects
- A recursive skeletonization factorization based on strong admissibility
- A Fast Algorithm for Quadrature by Expansion in Three Dimensions
- A HSS Matrix-Inspired Butterfly-Based Direct Solver for Analyzing Scattering from Two-dimensional Objects
- A local target specific quadrature by expansion method for evaluation of layer potentials in 3D
- Integral equation methods for elastance and mobility problems in two dimensions
- Taylor States in Stellarators: A Fast High-order Boundary Integral Solver
- Optimization of Fast Algorithms for Global Quadrature by Expansion Using Target-Specific Expansions