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1. Verfasser: Aspnes, James
Format: Preprint
Veröffentlicht: 2020
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Online-Zugang:https://arxiv.org/abs/2003.01902
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author Aspnes, James
author_facet Aspnes, James
contents Lecture notes for the Yale Computer Science course CPSC 4690/5690 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.
format Preprint
id arxiv_https___arxiv_org_abs_2003_01902
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Notes on Randomized Algorithms
Aspnes, James
Data Structures and Algorithms
68-01
Lecture notes for the Yale Computer Science course CPSC 4690/5690 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.
title Notes on Randomized Algorithms
topic Data Structures and Algorithms
68-01
url https://arxiv.org/abs/2003.01902