Notes on Randomized Algorithms (James Aspnes)

 
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Notes on Randomized Algorithms (James Aspnes)

A randomized algorithm is frequently the simplest algorithm, the fastest algorithm, or both for many applications.

The fundamental ideas in the construction and analysis of randomized algorithms are introduced in this book. the Lovasz Local Lemma, union bound arguments, concentration bounds, applications of martingales and Markov chains, and other tools from probability theory are covered.

Analysis of well-known randomized algorithms like Quicksort and Hoare's FIND, random tree data structures, hashing, Markov chain Monte Carlo sampling, random approximation counting, derandomization, quantum computing, and a few examples of randomized distributed algorithms are among the topics covered in this category.

Ebook Details

Author(s)
About the Authors
Professor James Aspnes works for Yale's department of computer science. He oversees undergraduate studies at the department of computer science. Distributed algorithms are his primary field of study.
License(s)
CC BY-SA 4.0
eBook Format
PDF (459 pages)
Language
English

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