A Differential Monte Carlo Solver For the Poisson Equation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Poisson equation is an important partial differential equation (PDE) with numerous applications in physics, engineering, and computer graphics. Conventional solutions to the Poisson equation require discretizing the domain or its boundary, which can be very expensive for domains with detailed geometries. To overcome this challenge, a family of grid-free Monte Carlo solutions has recently been developed. By utilizing walk-on-sphere (WoS) processes, these techniques are capable of efficiently solving the Poisson equation over complex domains. In this paper, we introduce a general technique that differentiates solutions to the Poisson equation with Dirichlet boundary conditions. Specifically, we devise a new boundary-integral formulation for the derivatives with respect to arbitrary parameters including shapes of the domain. Further, we develop an efficient walk-on-spheres technique based on our new formulation - including a new approach to estimate normal derivatives of the solution field. We demonstrate the effectiveness of our technique over baseline methods using several synthetic examples.

Original languageEnglish (US)
Title of host publicationProceedings - SIGGRAPH 2024 Conference Papers
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400705250
DOIs
StatePublished - Jul 13 2024
Externally publishedYes
Event2024 Special Interest Group on Computer Graphics and Interactive Techniques Conference - Conference Papers, SIGGRAPH 2024 - Denver, United States
Duration: Jul 28 2024Aug 1 2024

Publication series

NameProceedings - SIGGRAPH 2024 Conference Papers

Conference

Conference2024 Special Interest Group on Computer Graphics and Interactive Techniques Conference - Conference Papers, SIGGRAPH 2024
Country/TerritoryUnited States
CityDenver
Period7/28/248/1/24

Keywords

  • differentiation
  • Monte Carlo methods
  • walk on spheres

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Visual Arts and Performing Arts
  • Computer Graphics and Computer-Aided Design

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