A parallel method for solving Laplace equations with Dirichlet data using local boundary integral equations and random walks
Chanhao Yan, Wei Cai, Xuan Zeng

TL;DR
This paper introduces a parallel hybrid method combining boundary integral equations and Monte Carlo walks to efficiently solve Laplace equations with Dirichlet data in 3D domains, enabling scalable computation of boundary data.
Contribution
A novel hybrid approach that integrates local boundary integral equations with probabilistic Monte Carlo methods for parallel solution of Laplace equations.
Findings
Achieves parallel computation of Neumann data without data communication.
Uses Feynman-Kac formula with WOS algorithm for local solution evaluation.
Provides a scalable method for boundary value problems in 3D domains.
Abstract
In this paper, we will present a new approach for solving Laplace equations in general 3-D domains. The approach is based on a local computation method for the DtN mapping of the Laplace equation by combining a deterministic (local) boundary integral equation method and the probabilistic Feynman-Kac formula of PDE solutions. This hybridization produces a parallel algorithm where the bulk of the computation has no need for data communications. Given the Dirichlet data of the solution on a domain boundary, a local boundary integral equation (BIE) will be established over the boundary of a local region formed by a hemisphere superimposed on the domain boundary. By using a homogeneous Dirichlet Green's function for the whole sphere, the resulting BIE will involve only Dirichlet data (solution value) over the hemisphere surface, but over the patch of the domain boundary intersected by the…
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Taxonomy
TopicsElectromagnetic Scattering and Analysis · Numerical methods in engineering · Advanced Mathematical Modeling in Engineering
