# Solving high-dimensional partial differential equations using deep learning

@article{Han2017SolvingHP,
title={Solving high-dimensional partial differential equations using deep learning},
author={Jiequn Han and Arnulf Jentzen and Weinan E},
journal={Proceedings of the National Academy of Sciences},
year={2017},
volume={115},
pages={8505 - 8510}
}
• Published 9 July 2017
• Computer Science
• Proceedings of the National Academy of Sciences
Significance Partial differential equations (PDEs) are among the most ubiquitous tools used in modeling problems in nature. However, solving high-dimensional PDEs has been notoriously difficult due to the “curse of dimensionality.” This paper introduces a practical algorithm for solving nonlinear PDEs in very high (hundreds and potentially thousands of) dimensions. Numerical results suggest that the proposed algorithm is quite effective for a wide variety of problems, in terms of both accuracy…
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