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Approximation Algorithms

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Vijay V. Vazirani 作者
Springer
译者
2001-07-02 出版日期
399 页数
USD 54.95 价格
Hardcover
丛书系列
9783540653677 图书编码

Approximation Algorithms 在线电子书 图书标签: 算法  Approximation  计算机  algorithm  计算机科学  随机算法  Optimization  CS   


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Approximation Algorithms 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Approximation Algorithms 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Approximation Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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内容丰富,观点深刻,而且精炼,不可多得的好书

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内容丰富,观点深刻,而且精炼,不可多得的好书

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初见科研~

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专业,经典

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Approximation Algorithms 在线电子书 图书描述

'This book covers the dominant theoretical approaches to the approximate solution of hard combinatorial optimization and enumeration problems. It contains elegant combinatorial theory, useful and interesting algorithms, and deep results about the intrinsic complexity of combinatorial problems. Its clarity of exposition and excellent selection of exercises will make it accessible and appealing to all those with a taste for mathematics and algorithms' - Richard Karp, University Professor, University of California at Berkeley. Following the development of basic combinatorial optimization techniques in the 1960s and 1970s, a main open question was to develop a theory of approximation algorithms. In the 1990s, parallel developments in techniques for designing approximation algorithms as well as methods for proving hardness of approximation results have led to a beautiful theory. The need to solve truly large instances of computationally hard problems, such as those arising from the Internet or the human genome project, has also increased interest in this theory. The field is currently very active, with the toolbox of approximation algorithm design techniques getting always richer. It is a pleasure to recommend Vijay Vazirani's well-written and comprehensive book on this important and timely topic. "I am sure the reader will find it most useful both as an introduction to approximability as well as a reference to the many aspects of approximation algorithms' - Laszlo Lovasz, Senior Researcher, Microsoft Research.

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