Overview

Based on a lecture course given at Chalmers University of Technology, this 2002 book is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range of randomized algorithms with important applications in optimization and other problems in computing. Amongst the algorithms covered are the Markov chain Monte Carlo method, simulated annealing, and the recent Propp-Wilson algorithm. This book will appeal not only to mathematicians, but also to students of statistics and computer science. The subject matter is introduced in a clear and concise fashion and the numerous exercises included will help students to deepen their understanding.

ISBN-13

9780521890014

ISBN-10

0521890012

Weight

0.44 Pounds

Dimensions

6.00 x 0.32 x 9.00 In

List Price

$39.99

Edition

1st Edition

Format

Paperback

Language

English

Pages

126 pages

Publisher

Cambridge University Press

Published On

2002-05-30



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