Notes on Randomized Algorithms

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
    pdf iconNotes on Randomized Algorithms.pdf
    密码
    65536

    最后更新:2025-04-12 23:57:50

    ←Algorithms of Resistance: The Everyday Fight against Platform Power

    →Practical Performance Profiling: Improving the Efficiency of .NET Code