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Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations. (arXiv:2201.11967v1 [cs.LG])
Web: http://arxiv.org/abs/2201.11967
Jan. 31, 2022, 2:11 a.m. | Jin Young Shin, Jae Yong Lee, Hyung Ju Hwang
cs.LG updates on arXiv.org arxiv.org
Learning mapping between two function spaces has attracted considerable
research attention. However, learning the solution operator of partial
differential equations (PDEs) remains a challenge in scientific computing.
Therefore, in this study, we propose a novel pseudo-differential integral
operator (PDIO) inspired by a pseudo-differential operator, which is a
generalization of a differential operator and characterized by a certain
symbol. We parameterize the symbol by using a neural network and show that the
neural-network-based symbol is contained in a smooth symbol class. …
More from arxiv.org / cs.LG updates on arXiv.org
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