Schur complement Domain Decomposition Methods for the solution of multiple scattering problems

TL;DR

This paper introduces a Schur complement-based domain decomposition method for efficiently solving large frequency domain multiple scattering problems, improving accuracy and computational feasibility over existing methods.

Contribution

The paper develops a novel Schur complement domain decomposition algorithm that avoids fixed point iterations, enabling accurate solutions for very large scattering problems.

Findings

Accurate solutions for large scattering problems demonstrated.

Efficient linear system solution via Schur complements.

Outperforms existing approaches in numerical experiments.

Abstract

We present a Schur complement Domain Decomposition (DD) algorithm for the solution of frequency domain multiple scattering problems. Just as in the classical DD methods we (1) enclose the ensemble of scatterers in a domain bounded by an artificial boundary, (2) we subdivide this domain into a collection of nonoverlapping subdomains so that the boundaries of the subdomains do not intersect any of the scatterers, and (3) we connect the solutions of the subproblems via Robin boundary conditions matching on the common interfaces between subdomains. We use subdomain Robin-to-Robin maps to recast the DD problem as a sparse linear system whose unknown consists of Robin data on the interfaces between subdomains---two unknowns per interface. The Robin-to-Robin maps are computed in terms of well-conditioned boundary integral operators. Unlike classical DD, we do not reformulate the Domain Decomposition problem in the form a fixed point iteration, but rather we solve the ensuing linear system by Gaussian elimination of the unknowns corresponding to inner interfaces between subdomains via Schur complements. Once all the unknowns corresponding to inner subdomains interfaces have been eliminated, we solve a much smaller linear system involving unknowns on the inner and outer artificial boundary. We present numerical evidence that our Schur complement DD algorithm can produce accurate solutions of very large multiple scattering problems that are out of reach for other existing approaches.