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"Giotto-ph: A Python Library for High-Performance Computation of Persistent ..."

Julian Burella Pérez et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-07-20

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2107-05412
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2107-05412
Julian Burella Pérez, Sydney Hauke, Umberto Lupo, Matteo Caorsi, Alberto Dassatti:
Giotto-ph: A Python Library for High-Performance Computation of Persistent Homology of Vietoris-Rips Filtrations. CoRR abs/2107.05412 (2021)

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