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Probability And Computing Michael Mitzenmacher Pdf Download

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You will be asked to input your password on the next screen. This is a very attractive textbook." MAA, Bill Satzer "The book can be used for self-study since there are exercises in each chapter." Mathematics of Computation Because of the widespread interest in the subject, a textbook covering randomization in computer science mustbe many things to many different people: it should serve as an introduction to the area for an undergraduate or graduate student interested in randomized algorithms; a survey of applications and techniques for the general computer scientist; and also a solid reference for the advanced researcher. Karp, University of California, Berkeley "This text presents a clear exposition of the tools of probabilistic analysis from the very basics to more advanced topics. Having both breadth and depth it is accessible and interesting to both undergraduate and graduate students. Proceed You are now leaving the Cambridge University Press website. The Monte Carlo method 11. Are you sure you want to delete your account? This cannot be undone.

This book is suitable for upper division undergraduates and first year graduate students in computer science and related disciplines. Continue browsing to accept cookies or find out how to manage your settings. Cancel Not already registered? Create an account now. The explanations are clear, and convey the intuition behind the results and techniques, yet the coverage is rigorous. Cancel . Loeb Associate Professor in Computer Science at Harvard University. Subtotal: 0.0 View cart (0) Checkout View cart and checkout Continue shopping Continue shopping Include historic titles Search products Register Sign in Register Sign in Wishlist Unlocking potential with the best learning and research solutions Subjects AnthropologyArchaeologyArts, theatre and cultureAstronomyChemistryClassical studiesComputer scienceEarth and environmental scienceEconomicsEducationEngineeringGeneral scienceGeographyHistoryLanguages and linguisticsLawLife sciencesLiteratureManagementMathematicsMedicineMusicPhilosophyPhysicsPolitics and international relationsPsychologyReligionSociologyStatistics and probabilityBrowse all subjects TextbooksReferenceAuthorsNewsConferencesBlogsContact Us United States HomeAcademicComputer scienceAlgorithmics, complexity, computer algebra and computational geometry Probability and ComputingRandomized Algorithms and Probabilistic Analysis $84.99 (X) Authors:Michael Mitzenmacher, Harvard University, MassachusettsEli Upfal, Brown University, Rhode Island Date Published: January 2005availability: Available format: Hardbackisbn: 9780521835404 Rate & review $84.99 (X) Hardback Add to cart Add to wishlist Other available formats:eBook Request examination copy Instructors may request a copy of this title for examination Request Description Product filter button Description Contents Resources Courses About the Authors 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.

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