Introduction to Algorithms, 3rd Edition

Introduction to Algorithms, 3rd Edition

查阅电子书
手机扫码
  • 微信扫一扫

    关注微信公众号

因版权原因待上架

内容简介

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, and substantial additions to the chapter on recurrences (now called "Divide-and-Conquer"). It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition.

As of the third edition, this textbook is published exclusively by the MIT Press.

作者简介

Thomas H. Cormen (托马斯·科尔曼) 达特茅斯学院计算机科学系教授、系主任。目前的研究兴趣包括:算法工程、并行计算、具有高延迟的加速计算。他分别于1993年、1986年获得麻省理工学院电子工程和计算机科学博士、硕士学位,师从Charles E. Leiserson教授。由于他在计算机教育领域的突出贡献,Cormen教授荣获2009年ACM杰出教员奖。

Introduction to Algorithms, 3rd Edition是2009年由TheMITPress出版,作者[美]ThomasH.Cormen。

得书感谢您对《Introduction to Algorithms, 3rd Edition》关注和支持,如本书内容有不良信息或侵权等情形的,请联系本网站。

购买这本书

你可能喜欢
趣学算法 电子书
50多个实例展示算法的设计、实现、复杂性分析及优化过程,培养算法思维,带你感受算法之美。
第一行代码:Android(第3版) 电子书
本书详解Android开发知识,基于Android 10.0、Kotlin编写,适合初学者和进阶开发者。
文本数据挖掘——基于R语言 电子书
文本是一种特殊的非结构化数据,在当今的大数据时代,其价值日趋凸显。本书利用开源而强大的R软件,对文本数据挖掘的概念、技术及技巧进行了系统的介绍。本书共11章,内容包括:走进文本数据挖掘,R语言快速入门,字符串的基本处理,用好正则表达式,导入各类文本数据,对各类文本数据进行预处理,文本特征提取的4种方法,基于机器学习的文本分类方法,文本情感分析,文本可视化,文本数据挖掘项目实践。本书还提供了丰富的应
R语言编程基础 电子书
《R语言学习手册》:7章全面介绍R语言及Rattle工具,附课后习题。
Python网络爬虫实例教程(视频讲解版) 电子书
本书主要内容包括:网络爬虫概述、requests库入门、xapth语法详解、认识和应对反爬虫、模拟登录和验证码的处理、动态页面的分析方法、scrapy框架基础、应对反爬虫策略、scrapy数据存储、提交数据和保持登录、crawlspider模板、图片下载和文件下载、分布式爬虫、增量式爬虫、