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Computational Geometry
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Computational Geometry
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An output-sensitive algorithm for persistent homology

Authors: Chen, C.; Kerber, M.;

An output-sensitive algorithm for persistent homology

Abstract

The authors study the computation of persistent homology of a simplicial complex over \(\mathbb Z_2\). In this direction, the first algorithm by \textit{H. Edelsbrunner} et al. [Discrete Comput. Geom. 28, No. 4, 511--533 (2002; Zbl 1011.68152)], was based on column-wise matrix reduction of a boundary matrix of the simplicial complex. The first output-sensitive analysis of an algorithm to compute a persistent homology that ignores homology classes of low persistence is presented here. Proposing a problem for further investigations, it is observed that although the authors' complexity results do not improve the worst-case time complexity of the problem, the approach of using state-of-the-art methods from symbolic computation can lead to more efficient algorithms.

Keywords

Complexity and performance of numerical algorithms, Numerical aspects of computer graphics, image analysis, and computational geometry, computational topology, rank computation, worst-case time complexity, Symbolic computation and algebraic computation, persistent homology, symbolic computation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
hybrid