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A statistical approach to knot confinement via persistent homology
In this paper, we study how randomly generated knots occupy a volume of space using topological methods. To this end, we consider the evolution of the first homology of an immersed metric neighbourhood of a knot’s embedding for growing radii. Specifically, we extract features from the persistent hom...
Autores principales: | Celoria, Daniele, Mahler, Barbara I. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116441/ https://www.ncbi.nlm.nih.gov/pubmed/35645602 http://dx.doi.org/10.1098/rspa.2021.0709 |
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