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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

โœ Scribed by Michael Mitzenmacher, Eli Upfal

Publisher
Cambridge University Press
Year
2017
Tongue
English
Leaves
490
Edition
2
Category
Library
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๐Ÿ“œ SIMILAR VOLUMES

Probability and Computing: Randomization
๐Ÿ“ Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
โœ Michael Mitzenmacher, Eli Upfal ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Cambridge University Press ๐ŸŒ English

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distribution

Probability and Computing: Randomization
๐Ÿ“ Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
โœ Michael Mitzenmacher, Eli Upfal ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distri

Probability and Computing: Randomization
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โœ Michael Mitzenmacher, Eli Upfal ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Cambridge University Press ๐ŸŒ English

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distribution

Probability and Computing: Randomization
๐Ÿ“ Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis, 2nd Edition
โœ Michael Mitzenmacher, Eli Upfal ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Cambridge University Press ๐ŸŒ English

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distribution

Probability and Computing: Randomized Al
๐Ÿ“ Probability and Computing: Randomized Algorithms and Probabilistic Analysis
โœ Michael Mitzenmacher, Eli Upfal ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Cambridge University Press ๐ŸŒ English

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,

Probability and computing: randomized al
๐Ÿ“ Probability and computing: randomized algorithms and probabilistic analysis
โœ Michael Mitzenmacher; Eli Upfal ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Cambridge University Press ๐ŸŒ English

"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 a