QuadConv: quadrature-based convolutions with applications to non-uniform PDE data compression

DOI10.1016/j.jcp.2023.112636arXiv2211.05151OpenAlexW4388822249MaRDI QIDQ6187615

Cooper Simpson, Stephen R. Becker, Kevin Doherty, Alireza Doostan

Publication date: 31 January 2024

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2211.05151

zbMATH Keywords

convolutioncompressionquadraturedeep-learning

Mathematics Subject Classification ID

Numerical methods for partial differential equations, boundary value problems (65Nxx) Fluid mechanics (76-XX) Computer science (68-XX)

Cites Work

• Pass-efficient methods for compression of high-dimensional turbulent flow data
• Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
• Handbook of Floating-Point Arithmetic
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