Random discrete Morse theory and a new library of triangulations

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Random discrete Morse theory and a new library of triangulations. / Benedetti, Bruno ; Lutz, Frank Hagen.

I: Experimental Mathematics, Bind 23, Nr. 1, 2014, s. 66-94.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Benedetti, B & Lutz, FH 2014, 'Random discrete Morse theory and a new library of triangulations', Experimental Mathematics, bind 23, nr. 1, s. 66-94. https://doi.org/10.1080/10586458.2013.865281

APA

Benedetti, B., & Lutz, F. H. (2014). Random discrete Morse theory and a new library of triangulations. Experimental Mathematics, 23(1), 66-94. https://doi.org/10.1080/10586458.2013.865281

Vancouver

Benedetti B, Lutz FH. Random discrete Morse theory and a new library of triangulations. Experimental Mathematics. 2014;23(1):66-94. https://doi.org/10.1080/10586458.2013.865281

Author

Benedetti, Bruno ; Lutz, Frank Hagen. / Random discrete Morse theory and a new library of triangulations. I: Experimental Mathematics. 2014 ; Bind 23, Nr. 1. s. 66-94.

Bibtex

@article{52992252731040d6913b968734da1fab,
title = "Random discrete Morse theory and a new library of triangulations",
abstract = "We introduce random discrete Morse theory as a computational scheme to measure the complexity of a triangulation. The idea is to try to quantify the frequency of discrete Morse matchings with few critical cells. Our measure will depend on the topology of the space, but also on how nicely the space is triangulated. The scheme we propose looks for optimal discrete Morse functions with an elementary random heuristic. Despite its naivet{\'e}, this approach turns out to be very successful even in the case of huge inputs. In our view, the existing libraries of examples in computational topology are “too easy” for testing algorithms based on discrete Morse theory. We propose a new library containing more complicated (and thus more meaningful) test examples.",
author = "Bruno Benedetti and Lutz, {Frank Hagen}",
year = "2014",
doi = "10.1080/10586458.2013.865281",
language = "English",
volume = "23",
pages = "66--94",
journal = "Experimental Mathematics",
issn = "1058-6458",
publisher = "Taylor & Francis",
number = "1",

}

RIS

TY - JOUR

T1 - Random discrete Morse theory and a new library of triangulations

AU - Benedetti, Bruno

AU - Lutz, Frank Hagen

PY - 2014

Y1 - 2014

N2 - We introduce random discrete Morse theory as a computational scheme to measure the complexity of a triangulation. The idea is to try to quantify the frequency of discrete Morse matchings with few critical cells. Our measure will depend on the topology of the space, but also on how nicely the space is triangulated. The scheme we propose looks for optimal discrete Morse functions with an elementary random heuristic. Despite its naiveté, this approach turns out to be very successful even in the case of huge inputs. In our view, the existing libraries of examples in computational topology are “too easy” for testing algorithms based on discrete Morse theory. We propose a new library containing more complicated (and thus more meaningful) test examples.

AB - We introduce random discrete Morse theory as a computational scheme to measure the complexity of a triangulation. The idea is to try to quantify the frequency of discrete Morse matchings with few critical cells. Our measure will depend on the topology of the space, but also on how nicely the space is triangulated. The scheme we propose looks for optimal discrete Morse functions with an elementary random heuristic. Despite its naiveté, this approach turns out to be very successful even in the case of huge inputs. In our view, the existing libraries of examples in computational topology are “too easy” for testing algorithms based on discrete Morse theory. We propose a new library containing more complicated (and thus more meaningful) test examples.

U2 - 10.1080/10586458.2013.865281

DO - 10.1080/10586458.2013.865281

M3 - Journal article

VL - 23

SP - 66

EP - 94

JO - Experimental Mathematics

JF - Experimental Mathematics

SN - 1058-6458

IS - 1

ER -

ID: 138512989