Notes on Randomized Algorithms
Book Details
| Author | James Aspnes |
| Published | 2024 |
| Edition | 1st |
| Paperback | 539 pages |
| Language | English |
| License | Creative Commons Attribution-ShareAlike |
Book Description
Lecture notes for the Yale Computer Science course CPSC 469/569 Randomized Algorithms. Suitable for use as a supplementary text for an introductory graduate or advanced undergraduate course on randomized algorithms. Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, applications of martingales and Markov chains, and the Lovász Local Lemma. Algorithmic topics include analysis of classic randomized algorithms such as Quicksort and Hoare's FIND, randomized tree data structures, hashing, Markov chain Monte Carlo sampling, randomized approximate counting, derandomization, quantum computing, and some examples of randomized distributed algorithms.
This book is available under a Creative Commons Attribution-ShareAlike license (CC BY-SA), which means that you are free to copy, distribute, and modify it, as long as you credit the original author and license any derivative works under the same terms.
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