Notes on Randomized Algorithms

简介:
对于许多应用,随机化算法是可用的最简单或最快的算法,有时两者兼而有之。本书介绍了随机算法设计和分析中的基本概念。讨论了来自概率论的工具,包括随机变量和期望,联合边界参数,集中边界,martingales和Markov链的应用以及Lovasz局部引理。
英文简介:
These are notes for the Yale course CPSC 469/569 Randomized Algorithms. This document also incorporates the lecture schedule and assignments, as well as some sample assignments from previous semesters. Because this is a work in progress, it will be updated frequently over the course of the semester.
Much of the structure of the course follows Mitzenmacher and Upfals's Probability and Computing: Randomized Algorithms and Probabilistic Analysis [MU05], with some material from Motwani and Raghavan's Randomized Algorithms [MR95]. In most cases you'll find these textbooks contain much more detail than what is presented here, so it is probably better to consider this document a supplement to them than to treat it as your primary source of information.
The most recent version of these notes will be available at http://www.cs.yale.edu/homes/aspnes/classes/469/notes.pdf. More stable archival versions may be found at https://arxiv.org/abs/2003.01902.
I would like to thank my many students and teaching fellows over the years for their help in pointing out errors and omissions in earlier drafts of these notes.
- 书名
- Notes on Randomized Algorithms
- 译名
- 随机算法注释
- 语言
- 英语
- 年份
- 2024
- 页数
- 539页
- 大小
- 2.48 MB
- 标签
- 算法
- 下载
Notes on Randomized Algorithms.pdf
- 密码
- 65536
最后更新:2025-04-12 23:57:50
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