Sparse identification of truncation errors
DOI10.1016/j.jcp.2019.07.049zbMath1453.65281arXiv1904.03669OpenAlexW2926251402MaRDI QIDQ2222522
Ludger Paehler, Stephan Thaler, Nikolaus A. Adams
Publication date: 27 January 2021
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1904.03669
preconditioningtruncation errorsparse regressiondata-driven scientific computingmodified differential equation analysis
Nonparametric regression and quantile regression (62G08) Numerical optimization and variational techniques (65K10) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Error bounds for initial value and initial-boundary value problems involving PDEs (65M15) Mesh generation, refinement, and adaptive methods for the numerical solution of initial value and initial-boundary value problems involving PDEs (65M50)
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Cites Work
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