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Beschreibung
"Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level"--
"Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level"--
Über den Autor
Alan Frieze is Professor in the Department of Mathematical Sciences at Carnegie Mellon University. He has authored almost 400 publications in top journals and was a plenary speaker at the 2014 International Congress of Mathematicians.
Inhaltsverzeichnis
Conventions/Notation; Part I. Preliminaries: 1. Introduction; 2. Basic tools; Part II. Erdos-Rényi-Gilbert Model: 3. Uniform and binomial random graphs; 4. Evolution; 5. Vertex degrees; 6. Connectivity; 7. Small subgraphs; 8. Large subgraphs; 9. Extreme characteristics; Part III. Modeling Complex Networks: 10. Inhomogeneous graphs; 11. Small world; 12. Network processes; 13. Intersection graphs; 14. Weighted graphs; References; Author index; Main index.
Details
Erscheinungsjahr: 2023
Fachbereich: Kommunikationswissenschaften
Genre: Importe, Medienwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781009260305
ISBN-10: 1009260308
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Frieze, Alan
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Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 170 x 12 mm
Von/Mit: Alan Frieze (u. a.)
Erscheinungsdatum: 09.03.2023
Gewicht: 0,381 kg
Artikel-ID: 126198380

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