A Differential Monte Carlo Solver For the Poisson Equation

被引:4
作者
Yu, Zihan [1 ,2 ]
Wu, Lifan [2 ]
Zhou, Zhiqian [1 ]
Zhao, Shuang [1 ,2 ]
机构
[1] Univ Calif Irvine, Irvine, CA 92717 USA
[2] NVIDIA, Santa Clara, CA 95051 USA
来源
PROCEEDINGS OF SIGGRAPH 2024 CONFERENCE PAPERS | 2024年
关键词
Monte Carlo methods; differentiation; walk on spheres; WALK;
D O I
10.1145/3641519.3657460
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
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页数:10
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