Persistence Theory: From Quiver Representations to Data Analysis

Steve Y. Oudot 1, 2
1 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
2 DATASHAPE - Understanding the Shape of Data
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
Abstract : Persistence theory emerged in the early 2000s as a new theory in the area of applied and computational topology. This book provides a broad and modern view of the subject, including its algebraic, topological, and algorithmic aspects. It also elaborates on applications in data analysis. The level of detail of the exposition has been set so as to keep a survey style, while providing sufficient insights into the proofs so the reader can understand the mechanisms at work.
Type de document :
Ouvrage (y compris édition critique et traduction)
American Mathematical Society, pp.218, 2015, Mathematical Surveys and Monographs, 978-1-4704-2545-6
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https://hal.inria.fr/hal-01247501
Contributeur : Steve Oudot <>
Soumis le : mardi 22 décembre 2015 - 11:04:07
Dernière modification le : samedi 18 février 2017 - 01:14:34

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Steve Y. Oudot. Persistence Theory: From Quiver Representations to Data Analysis. American Mathematical Society, pp.218, 2015, Mathematical Surveys and Monographs, 978-1-4704-2545-6. 〈hal-01247501〉

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