Cited by 284Topological and Geometric Data AnalysisGeometric Analysis and Curvature FlowsGeometric and Algebraic Topology

Lipschitz Functions Have L p -Stable Persistence

Cohen-Steiner, David, Edelsbrunner, Herbert, Harer, John, Mileyko, Yuriy·2010·Foundations of Computational Mathematics

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Crossref · 10.1007/s10208-010-9060-6

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16 of 16 references verified0 citation errors · 0 not checkable

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  • There is a stability result for the Wasserstein distances d_p, with p finite, in the presence of a Lipschitz property for the functions.

    “There is also a stability result for the Wasserstein distances d p , with p finite, in the presence of a Lipschitz property for the functions, proved in Cohen-Steiner et al. (2010).”

    From Topological pattern recognition for point cloud data (2014) · cites this paper as Cohen-Steiner et al. (2010)

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Authors
Cohen-Steiner, D., Edelsbrunner, H., Harer, J., & Mileyko, Y.
Affiliations
Duke University (US)
Corresponding author
Edelsbrunner, Herbert
Venue
Foundations of Computational Mathematics
Published
2010-01-28
Volume
10
Issue
2
Pages
127-139
ISSN
  • 1615-3375 (ISSN-L)
  • 1615-3383
OpenAlex
W2122101130
Cited by
284
References
16
Citations by year
2026: 19 · 2025: 20 · 2024: 26 · 2023: 32 · 2022: 26 · 2021: 35 · 2020: 25 · 2019: 12 · 2018: 16 · 2017: 13 · 2016: 11 · 2015: 12 · 2014: 14 · 2013: 7 · 2012: 9
FWCI
7.22
Type
journal article
Language
en
Open access
closed
Locations
Foundations of Computational Mathematics (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Topological and Geometric Data Analysis
  • Physical Sciences › Mathematics › Applied Mathematics › Geometric Analysis and Curvature Flows
  • Physical Sciences › Mathematics › Geometry and Topology › Geometric and Algebraic Topology
Keywords
Lipschitz functions, persistence diagrams, Wasserstein distance, topological data analysis, systems biology

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