Efficient Computation of Image Persistence

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Názov: Efficient Computation of Image Persistence
Autori: Bauer, Ulrich, Schmahl, Maximilian
Prispievatelia: Ulrich Bauer and Maximilian Schmahl
Publication Status: Preprint
Informácie o vydavateľovi: arXiv, 2022.
Rok vydania: 2022
Predmety: Computational Geometry (cs.CG), FOS: Computer and information sciences, 0102 computer and information sciences, 01 natural sciences, image persistence, FOS: Mathematics, Computer Science - Computational Geometry, Algebraic Topology (math.AT), Persistent homology, Mathematics - Algebraic Topology, ddc:004, 0101 mathematics, barcode computation
Popis: We present an algorithm for computing the barcode of the image of a morphisms in persistent homology induced by an inclusion of filtered finite-dimensional chain complexes. These algorithms make use of the clearing optimization and can be applied to inclusion-induced maps in persistent absolute homology and persistent relative cohomology for filtrations of pairs of simplicial complexes. They form the basis for our implementation for Vietoris-Rips complexes in the framework of the software Ripser.
16 pages
Druh dokumentu: Article
Conference object
Popis súboru: application/pdf
DOI: 10.48550/arxiv.2201.04170
DOI: 10.4230/lipics.socg.2023.14
Prístupová URL adresa: http://arxiv.org/abs/2201.04170
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2023.14
Rights: arXiv Non-Exclusive Distribution
CC BY
Prístupové číslo: edsair.doi.dedup.....7a1c9d3b9151e52ddf6b0d8df50e4c6a
Databáza: OpenAIRE
Popis
Abstrakt:We present an algorithm for computing the barcode of the image of a morphisms in persistent homology induced by an inclusion of filtered finite-dimensional chain complexes. These algorithms make use of the clearing optimization and can be applied to inclusion-induced maps in persistent absolute homology and persistent relative cohomology for filtrations of pairs of simplicial complexes. They form the basis for our implementation for Vietoris-Rips complexes in the framework of the software Ripser.<br />16 pages
DOI:10.48550/arxiv.2201.04170