A Bayesian framework for learning governing partial differential equation from data

DOI10.1016/j.physd.2023.133927arXiv2306.04894OpenAlexW4387122505MaRDI QIDQ6090678

Kalpesh Sanjay More, Souvik Chakraborty, Rajdip Nayek, Tapas Tripura

Publication date: 17 November 2023

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2306.04894

zbMATH Keywords

partial differential equationsparse linear regressionprobabilistic machine learningBayesian model discovery

Mathematics Subject Classification ID

Numerical analysis (65-XX) Computer science (68-XX)

Related Items (1)

Discovering stochastic partial differential equations from limited data using variational Bayes inference

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