Probability and Computing: Randomized Algorithms and Probabilistic Analysis
Michael Mitzenmacher, Eli Upfal
Assuming only an elementary background in discrete mathematics, this textbook is an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It includes random sampling, expectations, Markov's and Chevyshev's inequalities, Chernoff bounds, balls and bins models, the probabilistic method, Markov chains, MCMC, martingales, entropy, and other topics. The book is designed to accompany a one- or two-semester course for graduate students in computer science and applied mathematics.
种类:
年:
2005
出版社:
Cambridge University Press
语言:
english
页:
368
ISBN 10:
0521835402
ISBN 13:
9780521835404
文件:
PDF, 6.80 MB
IPFS:
,
english, 2005