Reconstruction of a Riemannian Manifold from Noisy Intrinsic Distances

DOI10.1137/19M126829XzbMath1497.60012arXiv1905.07182WikidataQ115246914 ScholiaQ115246914MaRDI QIDQ5037574

Sergei Ivanov, Hariharan Narayanan, Charles L. Fefferman, Matti Lassas

Publication date: 1 March 2022

Published in: SIAM Journal on Mathematics of Data Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1905.07182

zbMATH Keywords

inverse problemsmanifold learninggeometric Whitney problem

Mathematics Subject Classification ID

Geometric probability and stochastic geometry (60D05) Inverse problems for PDEs (35R30) Methods of global Riemannian geometry, including PDE methods; curvature restrictions (53C21)

Related Items (1)

Sampling linear inverse problems with noise

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