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Locating Eigenvalues Graphs Algorithms by Hoppen Carlos (14 results)
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Condition: As New. Unread book in perfect condition.
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Locating Eigenvalues in Graphs: Algorithms and Applications (SpringerBriefs in Mathematics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Locating Eigenvalues in Graphs : Algorithms and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Locating Eigenvalues in Graphs : Algorithms and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. 2022nd edition NO-PA16APR2015-KAP.
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Paperback or Softback. Condition: New. Locating Eigenvalues in Graphs: Algorithms and Applications. Book.
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Paperback. Condition: Brand New. 150 pages. 9.25x6.10x0.39 inches. In Stock.
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Locating Eigenvalues in Graphs : Algorithms and Applications
Published by Springer International Publishing, 2022
ISBN 10: 3031116976 ISBN 13: 9783031116971
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on linear time eigenvalue location algorithms for graphs. This subject relates to spectral graph theory, a field that combines tools and concepts of linear algebra and combinatorics, with applications ranging from image processing and data analysis to molecular descriptors and random walks. It has attracted a lot of attention and has since emerged as an area on its own.Studies in spectral graph theory seek to determine properties of a graph through matrices associated with it. It turns out that eigenvalues and eigenvectors have surprisingly many connections with the structure of a graph. This book approaches this subject under the perspective of eigenvalue location algorithms. These are algorithms that, given a symmetric graph matrix M and a real interval I, return the number of eigenvalues of M that lie in I. Since the algorithms described here are typically very fast, they allow one to quickly approximate the value of any eigenvalue, which is a basic step in most applications of spectral graph theory. Moreover, these algorithms are convenient theoretical tools for proving bounds on eigenvalues and their multiplicities, which was quite useful to solve longstanding open problems in the area. This book brings these algorithms together, revealing how similar they are in spirit, and presents some of their main applications.This work can be of special interest to graduate students and researchers in spectral graph theory, and to any mathematician who wishes to know more about eigenvalues associated with graphs. It can also serve as a compact textbook for short courses on the topic.
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Taschenbuch. Condition: Neu. Locating Eigenvalues in Graphs | Algorithms and Applications | Carlos Hoppen (u. a.) | Taschenbuch | xii | Englisch | 2022 | Springer | EAN 9783031116971 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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