For many applications, a randomized algorithm is either the simplest or the fastest algorithm available, and sometimes both. This book introduces the basic concepts in the design and analysis of randomized algorithms. The first part of the text presents basic tools such as probability theory and probabilistic analysis that are frequently used in algorithmic applications. Algorithmic examples are also given to illustrate the use of each tool in a concrete setting. In the second part of the book, each chapter focuses on an important area to which randomized algorithms can be applied, providing a comprehensive and representative selection of the algorithms that might be used in each of these areas. Although written primarily as a text for advanced undergraduates and graduate students, this book should also prove invaluable as a reference for professionals and researchers.
##Positive: reasonably hard and contain a lot of useful algorithms. Negative: many proofs not explained in the best possible ways, and too many mistakes.
##Positive: reasonably hard and contain a lot of useful algorithms. Negative: many proofs not explained in the best possible ways, and too many mistakes.
##沒答案!我想拿A!
說這本是好書的都是裝逼佬. 遠不如某些西方高校的課件.
##Positive: reasonably hard and contain a lot of useful algorithms. Negative: many proofs not explained in the best possible ways, and too many mistakes.
##這本書沒有讀完,的確很難。。。看瞭幾章而已。。。
說這本是好書的都是裝逼佬. 遠不如某些西方高校的課件.
##許多隨機算法課的教科書
說這本是好書的都是裝逼佬. 遠不如某些西方高校的課件.