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Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces
This project forked from casus/pde-learning
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces
This framework contains the results submitted on the paper "Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces", submitted to Proceedings A Royal Society. ArXiv preprint is available, https://doi.org/10.48550/arXiv.2301.04887 The code was developed by Phil-Alexander Hofmann : [email protected], under the supervision of: - Juan-Esteban Suarez : [email protected] - Dr. Michael Hecht : [email protected] All members of the Center for Advanced Systems Understanding (CASUS)
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