Open AccessA statistical approach to knot confinement via persistent homology
Author(s) -
Daniele Celoria,
Barbara I. Mahler
Publication year - 2022
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2021.0709
Subject(s) - persistent homology , embedding , knot (papermaking) , knot theory , mathematics , metric space , point cloud , topological data analysis , homology (biology) , combinatorics , topology (electrical circuits) , pure mathematics , algorithm , computer science , biology , artificial intelligence , biochemistry , chemical engineering , engineering , gene
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