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We introduce an algorithm that constructs a discrete gradient field on any simplicial complex. We show that, in all situations, the gradient field is maximal possible and, in a number of cases, optimal. We make a thorough analysis of the…

Algebraic Topology · Mathematics 2024-12-18 Emilio J. González , Jesús González

The present paper mainly presents, for example, explicit classifications of compact smooth manifolds having non-empty boundaries and simple structures where the dimensions are general. Studies of this type is fundamental and important. They…

General Topology · Mathematics 2021-06-21 Naoki Kitazawa

In this work we study the framework of mathematical morphology on simplicial complex spaces. Simplicial complexes are widely used to represent multidimensional data, such as meshes, that are two dimensional complexes, or graphs, that can be…

Discrete Mathematics · Computer Science 2014-01-23 Fabio Dias , Jean Cousty , Laurent Najman

We present extremal constructions connected with the property of simplicial collapsibility. (1) For each $d \ge 2$, there are collapsible (and shellable) simplicial $d$-complexes with only one free face. Also, there are non-evasive…

Combinatorics · Mathematics 2016-10-12 Karim A. Adiprasito , Bruno Benedetti , Frank H. Lutz

In this paper we survey three approaches to computing the homology of a finite dimensional compact smooth closed manifold using a Morse-Bott function and discuss relationships among the three approaches. The first approach is to perturb the…

Algebraic Topology · Mathematics 2015-03-20 David E. Hurtubise

Understanding the response of an output variable to multi-dimensional inputs lies at the heart of many data exploration endeavours. Topology-based methods, in particular Morse theory and persistent homology, provide a useful framework for…

Graphics · Computer Science 2022-08-16 Yarden Livnat , Dan Maljovec , Attila Gyulassy , Dr Baptiste Mouginot , Valerio Pascucci

In this paper, we prove that the Max-Morse Matching Problem is approximable, thus resolving an open problem posed by Joswig and Pfetsch. We describe two different approximation algorithms for the Max-Morse Matching Problem. For…

Computational Geometry · Computer Science 2021-09-13 Abhishek Rathod , Talha Bin Masood , Vijay Natarajan

We provide a bottom up construction of torsion generators for weighted homology of a weighted complex over a discrete valuation ring $R=\mathbb{F}[[\pi]]$. This is achieved by starting from a basis for classical homology of the $n$-th…

Algebraic Topology · Mathematics 2022-06-10 Andrei C. Bura , Neelav S. Dutta , Thomas J. X. Li , Christian M. Reidys

We present a new algorithm for computing the first discrete homology group of a graph. By testing the algorithm on different data sets of random graphs, we find that it significantly outperforms other known algorithms.

Computational Geometry · Computer Science 2025-12-17 Jacob Ender , Chris Kapulkin

A filtration over a simplicial complex $K$ is an ordering of the simplices of $K$ such that all prefixes in the ordering are subcomplexes of $K$. Filtrations are at the core of Persistent Homology, a major tool in Topological Data Analysis.…

Computational Geometry · Computer Science 2018-02-06 Jean-Daniel Boissonnat , Karthik C. S.

Piecewise-linear (PL) Morse theory and discrete Morse theory are used in shape analysis tasks to investigate the topological features of discretized spaces. In spite of their common origin in smooth Morse theory, various notions of critical…

Computational Geometry · Computer Science 2020-05-19 Ulderico Fugacci , Claudia Landi , Hanife Varlı

Robin Forman's highly influential 2002 paper A User's Guide to Discrete Morse Theory presents an overview of the subject in a very readable manner. As a proof of concept, the author determines the topology (homotopy type) of the abstract…

Combinatorics · Mathematics 2025-01-20 Anupam Mondal , Pritam Chandra Pramanik

Algorithms for persistent homology and zigzag persistent homology are well-studied for persistence modules where homomorphisms are induced by inclusion maps. In this paper, we propose a practical algorithm for computing persistence under…

Computational Geometry · Computer Science 2014-03-26 Tamal K. Dey , Fengtao Fan , Yusu Wang

We study the problem of computing the homology of the configuration spaces of a finite cell complex $X$. We proceed by viewing $X$, together with its subdivisions, as a subdivisional space--a kind of diagram object in a category of cell…

Algebraic Topology · Mathematics 2021-01-11 Byung Hee An , Gabriel C. Drummond-Cole , Ben Knudsen

This paper is concerned with the derivation and properties of differential complexes arising from a variety of problems in differential equations, with applications in continuum mechanics, relativity, and other fields. We present a…

Numerical Analysis · Mathematics 2023-02-02 Douglas N. Arnold , Kaibo Hu

We introduce topological invariants of semi-decompositions (e.g. filtrations, semi-group actions, multi-valued dynamical systems, combinatorial dynamical systems) on a topological space to analyze semi-decompositions from a dynamical…

General Topology · Mathematics 2022-07-04 Tomoo Yokoyama

This paper provides a self-contained exploration of subdivisions of simplicial complexes, with emphasis on barycentric subdivision. We present formal definitions of subdivisions, show how the realization of a complex is preserved under…

General Topology · Mathematics 2025-11-24 Sanjay Mishra

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…

Algebraic Topology · Mathematics 2022-01-13 Ulrich Bauer , Maximilian Schmahl

In this paper, we study the discrete differential calculus on hypergraphs by using the Kouzul complexes. We define the constrained (co)homology for hypergraphs and give the corresponding Mayer-Vietoris sequences. We prove the functoriality…

Algebraic Topology · Mathematics 2023-10-24 Shiquan Ren

Classical unsupervised learning methods like clustering and linear dimensionality reduction parametrize large-scale geometry when it is discrete or linear, while more modern methods from manifold learning find low dimensional representation…

Machine Learning · Computer Science 2025-09-23 Luis Scoccola , Uzu Lim , Heather A. Harrington
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