Nesting Monte Carlo for high-dimensional Non Linear PDEs
Xavier Warin

TL;DR
This paper introduces a nesting Monte Carlo method for efficiently solving high-dimensional semi-linear PDEs, with proven convergence and demonstrated effectiveness across various non-linearities.
Contribution
The paper develops a novel nesting Monte Carlo approach with theoretical convergence guarantees for high-dimensional semi-linear PDEs.
Findings
Proven convergence of the method.
Effective in high dimensions for different non-linearities.
Demonstrates efficiency through numerical results.
Abstract
A new method based on nesting Monte Carlo is developed to solve high-dimensional semi-linear PDEs. Convergence of the method is proved and its convergence rate studied. Results in high dimension for different kind of non-linearities show its efficiency.
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