casus/PDE-Learning

Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces

This framework contains the results submitted on the paper "Negative Order Sobolev Cubatures: Preconditioners of Partial Differential Equation Learning Tasks Circumventing Numerical Stiffness",
submitted to IOP Machine Learning: Science and Technology ArXiv preprint is available, https://doi.org/10.48550/arXiv.2301.04887

The code was developed by Phil-Alexander Hofmann : p.hofmann@hzdr.de, under the supervision of:
  - Juan-Esteban Suarez : j.suarez-cardona@hzdr.de
  - Dr. Michael Hecht : m.hecht@hzdr.de
All members of the Center for Advanced Systems Understanding (CASUS)