Harchol-Balter, Mor

Introduction to probability for computing - Cambridge : Cambridge University Press, 2024 - xx, 550 p. ; ill. (some col.), 25 cm.

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.

9781009309073 hbk.

Stationary distribution
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 bound

004.0151 / HAR

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