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Random Graphs [Hardcover]

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  • Category: Books (Mathematics)
  • Author:  Bollob}}s, B}}la
  • Author:  Bollob}}s, B}}la
  • ISBN-10:  0521809207
  • ISBN-10:  0521809207
  • ISBN-13:  9780521809207
  • ISBN-13:  9780521809207
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  520
  • Pages:  520
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2001
  • Pub Date:  01-May-2001
  • SKU:  0521809207-11-MPOD
  • SKU:  0521809207-11-MPOD
  • Item ID: 100869384
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
This is a revised and updated version of the classic first edition.This is a new edition of a now classic text. The already extensive treatment given in the first edition has been heavily revised by the author, an acknowleged expert. The addition of two new sections, numerous new results and over 150 references mean that this represents an up-to-date account of random graph theory. This book 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.This is a new edition of a now classic text. The already extensive treatment given in the first edition has been heavily revised by the author, an acknowleged expert. The addition of two new sections, numerous new results and over 150 references mean that this represents an up-to-date account of random graph theory. This book 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.This is a new 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 an up-to-date and comprehensive account of random graph theory. The theory estimates 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 ideallc&
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