State of the Art in Grid-Free Monte Carlo Methods for Partial Differential Equations

Figure 1: Grid-free Monte Carlo methods can significantly speedup the engineering design cycle by eliminating the major bottleneck of discretization in conventional solvers for partial differential equations (left).Lifting the dependence on discretization and global solves improves robustness, and like Monte Carlo ray tracing allows for computational effort to be focused entirely on local regions of interest (right).

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Publication Details

Published
2025-08-10
DOI
https://doi.org/10.1145/3721241.3734001
Citations
1
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
1.28
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article

State of the Art in Grid-Free Monte Carlo Methods for Partial Differential Equations

1 citations
Advanced Steganography and Watermarking Techniques
1.28
article

State of the Art in Grid-Free Monte Carlo Methods for Partial Differential Equations

article en
1 citations

Abstract

Figure 1: Grid-free Monte Carlo methods can significantly speedup the engineering design cycle by eliminating the major bottleneck of discretization in conventional solvers for partial differential equations (left).Lifting the dependence on discretization and global solves improves robustness, and like Monte Carlo ray tracing allows for computational effort to be focused entirely on local regions of interest (right).

Nvidia (United States) (US), Carnegie Mellon University (US)
Sustainable cities and communities
Openalex Percentile: Top 13%
Advanced Steganography and Watermarking Techniques
1.28
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State of the Art in Grid-Free Monte Carlo Methods for Partial Differential Equations · (2025) | TGRS Research Map | TGRS