Product Information
Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine learning to communication networks and secure protocols. This textbook is designed to accompany a one- or two-semester course for advanced undergraduates or beginning graduate students in computer science and applied mathematics. It gives an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It assumes only an elementary background in discrete mathematics and gives a rigorous yet accessible treatment of the material, with numerous examples and applications. The first half of the book covers core material, including random sampling, expectations, Markov's inequality, Chevyshev's inequality, Chernoff bounds, balls and bins models, the probabilistic method, and Markov chains. In the second half, the authors delve into more advanced topics such as continuous probability, applications of limited independence, entropy, Markov chain Monte Carlo methods, coupling, martingales, and balanced allocations. With its comprehensive selection of topics, along with many examples and exercises, this book is an indispensable teaching tool.Product Identifiers
PublisherCambridge University Press
ISBN-139780521835404
eBay Product ID (ePID)90234758
Product Key Features
Number of Pages370 Pages
LanguageEnglish
Publication NameProbability and Computing: Randomized Algorithms and Probabilistic Analysis
Publication Year2005
SubjectComputer Science, Mathematics
TypeTextbook
AuthorMichael Mitzenmacher, Eli Upfal
FormatHardcover
Dimensions
Item Height260 mm
Item Weight807 g
Additional Product Features
Country/Region of ManufactureUnited Kingdom
Title_AuthorMichael Mitzenmacher, Eli Upfal