Introduction to probability for computing
By: Harchol-Balter, Mor.
Material type:
BookPublisher: Cambridge : Cambridge University Press, 2024Description: xx, 550 p. ; ill. (some col.), 25 cm.ISBN: 9781009309073.Subject(s): Stationary distribution | Z-transform | Randomized algorithms | Poisson process | Pareto distribution | MAP estimaotr | MAP estimator | Laplace transform | Fermat Primality Test | Exponential distribution | Discrete random variables | Continuous random variables | Confidence interval | Chernoff boundDDC classification: 004.0151 Summary: A rigorous, yet accessible, textbook for computer science students learning probability. It covers topics of interest to computer scientists, including randomized algorithms, simulation, statistical inference, and stochastic systems modeling. Replete with engaging real-world examples, exercises, and full-color illustrations.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 004.0151 HAR (Browse shelf) | Available | 034935 |
Includes bibliographical references and index.
A rigorous, yet accessible, textbook for computer science students learning probability. It covers topics of interest to computer scientists, including randomized algorithms, simulation, statistical inference, and stochastic systems modeling. Replete with engaging real-world examples, exercises, and full-color illustrations.
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