Presentation

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Monte Carlo PDE Solvers for Nonlinear Radiative Boundary Conditions
SessionWalk This Way: Monte Carlo Geometry
DescriptionThis paper extends Monte Carlo PDE solvers to handle nonlinear radiative boundary conditions using a Picard-style fixed-point iteration framework. It introduces a heteroscedastic regression-based denoising method for boundary estimates and demonstrates the approach on heat radiation simulations with complex geometries, achieving higher accuracy than standard linearization strategies.
Authors
Anchang Bao
School of Software and BNRist, Tsinghua University
Enya Shen
School of Software and BNRist, Tsinghua University
Haihe Lab of ITAI
Jianmin Wang
School of Software and BNRist, Tsinghua University
Event Type
Technical Paper
TimeWednesday, 22 July 20264:05pm - 4:15pm PDT
LocationRoom 408 A
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Wednesday, 22 July 20263:45pm - 5:35pm PDTRoom 408 A
Keywords
Geometry
Modeling
Registration Categories
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