Data-driven discovery of PDEs in complex datasets

Author:

Berg JensORCID,Nyström Kaj

Funder

Uppsala Multidisciplinary Center for Advanced Computational Science

Göran Gustafsson Foundation for Research in Natural Sciences and Medicine

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modelling and Simulation,Numerical Analysis

Reference40 articles.

1. 10 key marketing trends for 2017 and ideas for exceeding customer expectations, 2017, IBM, online. (Accessed 23 April 2018).

2. J. Berg, K. Nyström, Neural network augmented inverse problems for PDEs, arXiv e-prints, Dec. 2017.

3. Discovering governing equations from data by sparse identification of nonlinear dynamical systems;Brunton;Proceedings of the National Academy of Sciences,2016

4. Approximation by superpositions of a sigmoidal function;Cybenko;Mathematics of Control, Signals, and Systems,1989

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