Distributed learning via filtered hyperinterpolation on manifolds

DOI10.1007/s10208-021-09529-5OpenAlexW3180479063MaRDI QIDQ2162123

Publication date: 5 August 2022

Published in: Foundations of Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.09392

zbMATH Keywords

quadrature rule Gaussian white noise kernel methods random sampling distributed learning filtered hyperinterpolation approximation on manifolds numerical integration on manifolds

Mathematics Subject Classification ID

Computational learning theory (68Q32) Best approximation, Chebyshev systems (41A50) Numerical methods for wavelets (65T60) Numerical interpolation (65D05) General harmonic expansions, frames (42C15) Distributed algorithms (68W15) Real-valued functions on manifolds (58C05)

Uses Software

Chebfun

Cites Work

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