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
##之前因为封面好看tag了这个 = = 然后我现在真的在学这门课…… 什么，你说你结课了就妄想自己真的读完这本书了？（
##配合 randomized algorithms 来看，里面有些相同的内容
##大三时zhao yunlei课的教材。书很好，随机算法很惊艳，可惜数学渣在课程后期没怎么学懂
##大三时zhao yunlei课的教材。书很好，随机算法很惊艳，可惜数学渣在课程后期没怎么学懂
##大三时zhao yunlei课的教材。书很好，随机算法很惊艳，可惜数学渣在课程后期没怎么学懂
##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
##很难，全部是数学理论，推导。我觉得这本数应该算数学书多一些。
##大三时zhao yunlei课的教材。书很好，随机算法很惊艳，可惜数学渣在课程后期没怎么学懂
##之前因为封面好看tag了这个 = = 然后我现在真的在学这门课…… 什么，你说你结课了就妄想自己真的读完这本书了？（