Random Graphs: Second Edition: 73 (Cambridge Studies in Advanced Mathematics, Series Number 73) - Image 1

Price loading...

Cambridge University Press Random Graphs: Second Edition: 73 (Cambridge Studies in Advanced Mathematics, Series Number 73)

Name: Random Graphs: Second Edition: 73 (Cambridge Studies in Advanced Mathematics, Series Number 73)
Brand: Cambridge University Press

Medical & Healthcare Practitioners

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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 Erdös and Rényi 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.

Key Features

New

Mint Condition

Dispatch same day for order received before 12 noon

Guaranteed packaging

No quibbles returns

Product Specifications

Brand: Cambridge University Press
Format: paperback
ASIN: 0521797225
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners
Domain: Amazon UK
Release Date: 27 May 2011
Listed Since: 05 February 2007

Barcode

No barcode data available

Cambridge University Press Random Graphs: Second Edition: 73 (Cambridge Studies in Advanced Mathematics, Series Number 73)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Random Graphs: 73 (Cambridge Studies in Advanced Mathematics, Series Number 73)

Random Graphs and Networks: A First Course

Random Graphs and Complex Networks: Volume 2 (Cambridge Series in Statistical and Probabilistic Mathematics)

Graph Theory and Additive Combinatorics: Exploring Structure and Randomness

Random Graphs and Complex Networks: Volume 1: 43 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)

A Course in Combinatorics

Walk Through Combinatorics, A: An Introduction To Enumeration And Graph Theory: An Introduction to Enumeration and Graph Theory (Second Edition)

Theory of Random Sets: 87 (Probability Theory and Stochastic Modelling, 87)

Theory of Random Sets: 87 (Probability Theory and Stochastic Modelling, 87)

A Walk Through Combinatorics: An Introduction to Enumeration and Graph Theory (Second Edition)

Graph Theory: 2 (Wiley Series in Discrete Mathematics and Optimization)

Random Graphs: 45 (Wiley Series in Discrete Mathematics and Optimization)

Graph Theory: 244 (Graduate Texts in Mathematics, 244)

Wiley Ramsey Theory, Second Edition - Mathematics Textbook

Graph Theory: An Introductory Course: 63 (Graduate Texts in Mathematics, 63)

Random Networks for Communication: From Statistical Physics to Information Systems: 24 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 24)

Lectures on Random Lozenge Tilings: 193 (Cambridge Studies in Advanced Mathematics, Series Number 193)

Handbook of Graph Theory (Discrete Mathematics and Its Applications)

Graphs & Digraphs (Textbooks in Mathematics)

Ergodic Theory: 2 (Cambridge Studies in Advanced Mathematics, Series Number 2)

Real Analysis and Probability: 74 (Cambridge Studies in Advanced Mathematics, Series Number 74)

Graph and Network Theory: An Applied Approach using Mathematica®: 193 (Springer Optimization and Its Applications, 193)

A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists

Computational Complexity: A Conceptual Perspective