Active learning based sampling for high-dimensional nonlinear partial differential equations

Wenhan Gao, Chunmei Wang

Abstract: Highlights•An adaptive sampling approach is proposed for faster convergence and lower overall error of least-square-based PDE solvers.•A self-normalized sampling algorithm is proposed to simulate draws from unnormalized distributions.•Numerical experiments demonstrate the effectiveness of algorithms proposed.