Fr. 70.00

Alan Frieze, Alan (Carnegie Mellon University Frieze, Frieze Alan, Karo&, Michal Karo&324;ski, Michal (Adam Mickiewicz University Karonski...

Random Graphs and Networks: A First Course

English · Paperback / Softback

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Description

"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"--

List of contents

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.

About the author

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.Michał Karoński is Professor Emeritus in the Faculty of Mathematics and Computer Science at Adam Mickiewicz University, where he founded the Discrete Mathematics group. He served as Editor-in-Chief of 'Random Structures and Algorithms' for thirty years.

Product details

Authors	Alan Frieze, Alan (Carnegie Mellon University Frieze, Frieze Alan, Karo&, Michal Karo&324;ski, Michal (Adam Mickiewicz University Karonski, Michał Karoński
Publisher	Cambridge University Press ELT

Languages	English
Product format	Paperback / Softback
Released	30.04.2023

EAN	9781009260305
ISBN	978-1-0-0926030-5
No. of pages	232
Subjects	Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics Social sciences, law, business > Media, communication > Communication science COMPUTERS / Computer Science, COMPUTERS / Information Theory, MATHEMATICS / Discrete Mathematics, computer science, Discrete Mathematics, Information theory

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