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An overview on deep learning-based approximation methods for partial differential equations - MaRDI portal

An overview on deep learning-based approximation methods for partial differential equations

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Publication:6356747

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DOI10.3934/dcdsb.2022238arXiv2012.12348MaRDI QIDQ6356747

Arnulf Jentzen, Martin Hutzenthaler, Benno Kuckuck, Christian Beck

Publication date: 22 December 2020

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Research exposition (monographs, survey articles) pertaining to numerical analysis (65-02) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99) Research exposition (monographs, survey articles) pertaining to partial differential equations (35-02)

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