算法设计

作者: Jon Kleinberg, éva Tardos

出版日期: 2006-01-01

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简介

本书是近年来关于算法设计和分析的不可多得的优秀教材。本书围绕算法设计技术组织素材,对每种算法技术选择了多个典型范例进行分析。本书将直观性与严谨性完美地结合起来。每章从实际问题出发,经过具体、深入、细致的分析,自然且富有启发性地引出相应的算法设计思想,并对算法的正确性、复杂性进行恰当的分析、论证。本书覆盖的面较宽,凡属串行算法的经典论题都有涉及,并且论述深入有新意。全书共200多道丰富而精彩的习题是本书的重要组成部分,也是本书的突出特色之一。 本书适用于本科高年级学生以及研究生算法课的教材,也很适于具有计算机或相近专业本科水平的人自学算法的需要。

更多出版物信息
  • 出版: 2006-01-01
  • 作者:Jon Kleinberg, éva Tardos
  • 更新: 2024-07-16
  • 书号:9787302122609
  • 中图:TP.7883
  • 学科:
    工学
    控制科学与工程
    工学
    计算机科学与技术

作者信息

Jon Kleinberg, éva Tardos

Jon Kleinberg is a professor of Computer Science at Cornell University. He received his Ph.D. from M.I.T. in 1996. He is the recipient of an NSF Career Award, an ONR Young Investigator Award, an IBM Outstanding Innovation Award, the National Academy of Sciences Award for Initiatives in Research, research fellowships from the Packard and Sloan Foundations, and teaching awards from the Cornell Engineering College and Computer Science Department.   Kleinberg's research is centered around algorithms, particularly those concerned with the structure of networks and information, and with applications to information science, optimization, data mining, and computational biology. His work on network analysis using hubs and authorities helped form the foundation for the current generation of Intern

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