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A standard way of approximating or discretizing a metric space is by taking its Rips complexes. These approximations for all parameters are often bound together into a filtration, to which we apply the fundamental group or the first…

Geometric Topology · Mathematics 2020-03-10 Žiga Virk

We extend classical tools from rational homotopy theory to topological data analysis by introducing persistent Sullivan minimal models of persistent topological spaces. Our main result establishes that the interleaving distance between such…

Algebraic Topology · Mathematics 2025-04-08 Ling Zhou

This paper develops a complete foundational treatment of simplicial complexes from Euclidean spaces through geometric realizations, emphasizing concrete computations, examples, and practical verification methods. Beginning with finite point…

Algebraic Topology · Mathematics 2025-12-02 Sanjay Mishra

The paper studies the relation between critical simplices and persistence diagrams of the \v{C}ech filtration. We show that adding a critical $k$-simplex into the filtration corresponds either to a point in the $k$th persistence diagram or…

Probability · Mathematics 2019-02-22 Khanh Duy Trinh

The aim of this paper is to present a method for computation of persistent homology that performs well at large filtration values. To this end we introduce the concept of filtered covers. We show that the persistent homology of a bounded…

Algebraic Topology · Mathematics 2018-05-29 Nello Blaser , Morten Brun

Our objective in this article is to show a possibly interesting structure of homotopic nature appearing in persistent (co)homology. Assuming that the filtration of the (say) simplicial set embedded in a finite dimensional vector space…

Algebraic Topology · Mathematics 2014-12-08 Estanislao Herscovich

We introduce a method to reduce the study of the topology of a simplicial complex to that of a simpler one. We give some applications of this method to complexes arising from graphs. As a consequence, we answer some questions raised in…

Combinatorics · Mathematics 2007-05-23 Mario Marietti , Damiano Testa

We present an algorithm for the computation of Vietoris-Rips persistence barcodes and describe its implementation in the software Ripser. The method relies on implicit representations of the coboundary operator and the filtration order of…

Algebraic Topology · Mathematics 2021-06-28 Ulrich Bauer

We consider the problem of efficiently computing a discrete Morse complex on simplicial complexes of arbitrary dimension and very large size. Based on a common graph-based formalism, we analyze existing data structures for simplicial…

Computational Geometry · Computer Science 2018-11-13 Ulderico Fugacci , Federico Iuricich , Leila De Floriani

Computing Persistent Homology for large point clouds remains a bottleneck for the wider adoption of persistent homology by the scientific community. We present an algorithm which can compute the degree-1 Vietoris-Rips Persistent Homology of…

Algebraic Topology · Mathematics 2024-09-13 Musashi Ayrton Koyama , Facundo Memoli , Vanessa Robins , Katharine Turner

We study a family of invariants of compact metric spaces that combines the Curvature Sets defined by Gromov in the 1980s with Vietoris-Rips Persistent Homology. For given integers $k\geq 0$ and $n\geq 1$ we consider the dimension $k$…

Algebraic Topology · Mathematics 2023-07-26 Mario Gómez , Facundo Mémoli

Recently, multi-scale notions of local homology (a variant of persistent homology) have been used to study the local structure of spaces around a given point from a point cloud sample. Current reconstruction guarantees rely on constructing…

Computational Geometry · Computer Science 2013-04-24 Primoz Skraba , Bei Wang

This expository article presents a self-contained introduction to simplicial homology for finite simplicial complexes, emphasizing concrete computation and geometric intuition. Beginning with orientations of simplices and the construction…

Algebraic Topology · Mathematics 2025-11-06 Sanjay Mishra

An algorithm is presented that constructs an acyclic partial matching on the cells of a given simplicial complex from a vector-valued function defined on the vertices and extended to each simplex by taking the least common upper bound of…

Computational Geometry · Computer Science 2017-03-24 Madjid Allili , Tomasz Kaczynski , Claudia Landi , Filippo Masoni

The Discrete Morse Theory of Forman appeared to be useful for providing filtration-preserving reductions of complexes in the study of persistent homology. So far, the algorithms computing discrete Morse matchings have only been used for…

Computational Geometry · Computer Science 2015-03-13 Madjid Allili , Tomasz Kaczynski , Claudia Landi

The degree-Rips bifiltration is the most computable of the parameter-free, density-sensitive bifiltrations in topological data analysis. It is known that this construction is stable to small perturbations of the input data, but its…

Algebraic Topology · Mathematics 2022-03-17 Alexander Rolle

We introduce the monoidal Rips filtration, a filtered simplicial set for weighted directed graphs and other lattice-valued networks. Our construction generalizes the Vietoris-Rips filtration for metric spaces by replacing the maximum…

Algebraic Topology · Mathematics 2025-10-29 Nello Blaser , Morten Brun , Odin Hoff Gardaa , Lars M. Salbu

To any finite simplicial complex X, we associate a natural filtration starting from Chari and Joswig's discrete Morse complex and abutting to the matching complex of X. This construction leads to the definition of several homology theories,…

Combinatorics · Mathematics 2022-02-11 Daniele Celoria , Naya Yerolemou

The Vietoris-Rips filtration for an $n$-point metric space is a sequence of large simplicial complexes adding a topological structure to the otherwise disconnected space. The persistent homology is a key tool in topological data analysis…

Computational Geometry · Computer Science 2017-09-19 Vitaliy Kurlin

Simplicial complexes (SCs) have become a popular abstraction for analyzing complex data using tools from topological data analysis or topological signal processing. However, the analysis of many real-world datasets often leads to dense SCs,…

Machine Learning · Statistics 2025-10-07 Anton Savostianov , Michael T. Schaub , Nicola Guglielmi , Francesco Tudisco