Probability and computing: an introduction to randomized algorithms and probabilistic analysis

Probability and computing: an introducti

📁 Probability and computing: an introduction to randomized algorithms and probabilistic analysis

✍ Michael Mitzenmacher, Eli Upfal 📂 Library 📅 2005 🏛 Cambridge University Press 🌐 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

📁 Probability and Computing: Randomized Algorithms and Probabilistic Analysis

✍ Michael Mitzenmacher, Eli Upfal 📂 Library 📅 2005 🏛 Cambridge University Press 🌐 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

📁 Probability and computing: randomized algorithms and probabilistic analysis

✍ Michael Mitzenmacher; Eli Upfal 📂 Library 📅 2005 🏛 Cambridge University Press 🌐 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

Probability and Computing: Randomized Al

📁 Probability and Computing: Randomized Algorithms and Probabilistic Analysis

✍ Michael Mitzenmacher, Eli Upfal 📂 Library 📅 2005 🏛 Cambridge University Press 🌐 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: Randomization

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

✍ Michael Mitzenmacher, Eli Upfal 📂 Library 📅 2017 🏛 Cambridge University Press 🌐 English

Probability and Computing: Randomization

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

✍ Michael Mitzenmacher, Eli Upfal 📂 Library 📅 2017 🏛 Cambridge University Press 🌐 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