Bela Bollobas

Random Graphs (eBook, PDF)

• Format: PDF

Produktbeschreibung

In this second edition of the now classic text, the already extensive treatment given in the first edition has been heavily revised by the author. The addition of two new sections, numerous new results and 150 references means that this represents a comprehensive account of random graph theory. The theory (founded by Erdos and Renyi in the late fifties) aims to estimate the number of graphs of a given degree that exhibit certain properties. It not only has numerous combinatorial applications, but also serves as a model for the probabilistic treatment of more complicated random structures. This book, written by an acknowledged expert in the field, can be used by mathematicians, computer scientists and electrical engineers, as well as people working in biomathematics. It is self-contained, and with numerous exercises in each chapter, is ideal for advanced courses or self study.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 30. August 2001
• Englisch
• ISBN-13: 9781139244411
• Artikelnr.: 41499288

Autorenporträt

Béla Bollobás has taught at Cambridge University's Department of Pure Maths and Mathematical Statistics for over 25 years and has been a fellow of Trinity College for 30 years. Since 1996, he has held the unique Chair of Excellence in the Department of Mathematical Sciences at the University of Memphis. Bollobás has previously written over 250 research papers in extremal and probabilistic combinatorics, functional analysis, probability theory, isoperimetric inequalities and polynomials of graphs.

Inhaltsangabe

1. Probability theoretic preliminaries
2. Models of random graphs
3. The degree sequence
4. Small subgraphs
5. The evolution of random graphs - sparse components
6. The evolution of random graphs-the giant component
7. Connectivity and components
8. Long paths and cycles
9. The automorphism group
10. The diameter
11. Cliques, independent sets and colouring
12. Ramsey theory
13. Explicit constructions
14. Sequences, matrices and permutations
15. Sorting algorithms
16. Random graphs of small order.