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Algebra and Discrete Mathematics, 2018, том 25, выпуск 2, страницы 311–321
(Mi adm662)
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Эта публикация цитируется в 1 научной статье (всего в 1 статье)
RESEARCH ARTICLE
A random Bockstein operator
Matthew Zabka Department of Mathematics and Computer Science, SM 178, Southwest Minnesota State University, 1501 State Street, Marshall, MN 56258, USA
Аннотация:
As more of topology's tools become popular in analyzing high-dimensional data sets, the goal of understanding the underlying probabilistic properties of these tools becomes even more important. While much attention has been given to understanding the probabilistic properties of methods that use homological groups in topological data analysis, the probabilistic properties of methods that employ cohomology operations remain unstudied. In this paper, we investigate the Bockstein operator with randomness in a strictly algebraic setting.
Ключевые слова:
random cohomology operations, topological data analysis, Bockstein operation.
Поступила в редакцию: 25.05.2016 Исправленный вариант: 24.06.2017
Образец цитирования:
Matthew Zabka, “A random Bockstein operator”, Algebra Discrete Math., 25:2 (2018), 311–321
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/adm662 https://www.mathnet.ru/rus/adm/v25/i2/p311
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Страница аннотации: | 121 | PDF полного текста: | 55 | Список литературы: | 27 |
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