Bayesian data-driven discovery of partial differential equations with variable coefficients

no code implementations • 2 Feb 2021 • Aoxue Chen, Yifan Du, Liyao Mars Gao, Guang Lin

In this work, we propose an advanced Bayesian sparse learning algorithm for PDE discovery with variable coefficients, predominantly when the coefficients are spatially or temporally dependent.

Bayesian Inference Model Selection +3