具体描述
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.
用户评价
##如果有人想知道学一点初等概率论之后可以干什么，推荐读这本书
评分##从计算机科学的角度理解concentration, probabilistic method, Markov chain, entropy和martingale，用离散的眼光对待概率和计算之间的关系，真是妙不可言
评分相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.idnshop.cc All Rights Reserved. 静思书屋 版权所有